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--- /dev/null
+++ b/LC/GSE174818/meta/GSE174818_family.xml/GSE174818_family.xml
@@ -0,0 +1,8600 @@
+
+
+
+
+
+ AndyMadrid
+ madrid2@wisc.edu
+ Alisch
+ Neurological Surgery
+ University of Wiconsin - Madison
+
+ 600 Highland Ave
+ Madison
+ Wisconsin
+ 53792
+ USA
+
+
+
+
+ Illumina Inc.
+ expression@illumina.com, techsupport@illumina.com
+ 1 800 809 4566
+ Illumina Inc.
+
+ 9885 Towne Centre Drive
+ San Diego
+ CA
+ 92121
+ USA
+
+ www.illumina.com
+
+
+
+ ReidSAlisch
+
+
+
+ Gene Expression Omnibus (GEO)
+ GEO
+ NCBI NLM NIH
+ http://www.ncbi.nlm.nih.gov/geo
+ geo@ncbi.nlm.nih.gov
+
+
+
+
+ 2015-11-16
+ 2015-11-16
+ 2019-01-20
+
+ Infinium MethylationEPIC
+ GPL21145
+ oligonucleotide beads
+ commercial
+ Homo sapiens
+ Illumina, Inc.
+
+See manufacturer's website
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/platforms/GPL21nnn/GPL21145/suppl/GPL21145_MethylationEPIC_15073387_v-1-0.csv.gz
+
+
+
+
+ ID
+ IlmnID
+
+
+ SPOT_ID
+
+
+ AddressA_ID
+
+
+ AlleleA_ProbeSeq
+
+
+ AddressB_ID
+
+
+ AlleleB_ProbeSeq
+
+
+ Infinium_Design_Type
+
+
+ Next_Base
+
+
+ Color_Channel
+
+
+ Forward_Sequence
+
+
+ Genome_Build
+
+
+ CHR
+
+
+ MAPINFO
+
+
+ SourceSeq
+
+
+GPL21145-tbl-1.txt
+
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_72
+ GSM5331993
+ genomic
+ 1
+
+ COVID_72
+ Homo sapiens
+
+F
+
+
+50
+
+
+H
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C72
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5331nnn/GSM5331993/suppl/GSM5331993_204776840051_R01C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5331nnn/GSM5331993/suppl/GSM5331993_204776840051_R01C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_84
+ GSM5331994
+ genomic
+ 1
+
+ COVID_84
+ Homo sapiens
+
+F
+
+
+75
+
+
+W
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C84
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5331nnn/GSM5331994/suppl/GSM5331994_204776840051_R02C01_Grn.idat.gz
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+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332013/suppl/GSM5332013_204776840098_R05C01_Grn.idat.gz
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+O
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+W
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+
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+
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332023/suppl/GSM5332023_204776850095_R07C01_Red.idat.gz
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+W
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332024/suppl/GSM5332024_204776850095_R08C01_Red.idat.gz
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+
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332025/suppl/GSM5332025_204776850070_R01C01_Red.idat.gz
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+65
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+H
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332026/suppl/GSM5332026_204776850070_R02C01_Red.idat.gz
+
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+
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332027/suppl/GSM5332027_204776850070_R03C01_Grn.idat.gz
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332027/suppl/GSM5332027_204776850070_R03C01_Red.idat.gz
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+F
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+W
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+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332028/suppl/GSM5332028_204776850070_R04C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332028/suppl/GSM5332028_204776850070_R04C01_Red.idat.gz
+
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+M
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+76
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+W
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+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332029/suppl/GSM5332029_204776850070_R05C01_Grn.idat.gz
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332029/suppl/GSM5332029_204776850070_R05C01_Red.idat.gz
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+F
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+O
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+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332030/suppl/GSM5332030_204776850070_R06C01_Grn.idat.gz
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332030/suppl/GSM5332030_204776850070_R06C01_Red.idat.gz
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+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332031/suppl/GSM5332031_204776850070_R07C01_Red.idat.gz
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+W
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+
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+
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+H
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+
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+
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+H
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+
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+
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+W
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+
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+H
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+
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+
+AA
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+0
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+
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+
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+
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+
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+M
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+
+65
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+W
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+
+0
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+
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+minfi
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+
+
+
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332041/suppl/GSM5332041_204776850064_R01C01_Red.idat.gz
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+M
+
+
+83
+
+
+W
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+
+0
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+
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+
+
+
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332042/suppl/GSM5332042_204776850064_R02C01_Red.idat.gz
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+M
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+39
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+W
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+
+1
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+
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+
+
+
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+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332043/suppl/GSM5332043_204776850064_R03C01_Red.idat.gz
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+M
+
+
+37
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+AA
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+
+0
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+1
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+
+blood
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+
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+
+
+
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+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332044/suppl/GSM5332044_204776850064_R04C01_Red.idat.gz
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+M
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+55
+
+
+O
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+
+0
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+1
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+
+blood
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+
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+
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+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332045/suppl/GSM5332045_204776850064_R05C01_Red.idat.gz
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+M
+
+
+87
+
+
+O
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+
+0
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+1
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+
+blood
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+
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+M
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+73
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+H
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+
+0
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+1
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332047/suppl/GSM5332047_204776850064_R07C01_Red.idat.gz
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+F
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+78
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+W
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+1
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+
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+M
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+89
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+AA
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+0
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332049/suppl/GSM5332049_204776850072_R01C01_Red.idat.gz
+
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+F
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+40
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+W
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332050/suppl/GSM5332050_204776850072_R02C01_Red.idat.gz
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+W
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+
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+
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+M
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+
+49
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+W
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+
+0
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+
+blood
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+
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+
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+
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+M
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+48
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+O
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+
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+
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+
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+F
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+
+H
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+
+1
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+
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+F
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+W
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+
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+F
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+
+58
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+
+AA
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+0
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+1
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+blood
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+
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+M
+
+
+65
+
+
+O
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+
+0
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+1
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+blood
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+
+
+
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+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332064/suppl/GSM5332064_204776850097_R08C01_Red.idat.gz
+
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+ NONCOVID_06
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+
+F
+
+
+75
+
+
+W
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+
+1
+
+
+0
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+
+blood
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+minfi
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+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332065/suppl/GSM5332065_204788470029_R01C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332065/suppl/GSM5332065_204788470029_R01C01_Red.idat.gz
+
+
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+
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+ 2021-05-31
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+ NONCOVID_18
+ GSM5332066
+ genomic
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+ NONCOVID_18
+ Homo sapiens
+
+M
+
+
+88
+
+
+W
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+
+1
+
+
+0
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+
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+
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+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332066/suppl/GSM5332066_204788470029_R02C01_Red.idat.gz
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+M
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+33
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+
+W
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+0
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+1
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+blood
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332067/suppl/GSM5332067_204788470029_R03C01_Grn.idat.gz
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332067/suppl/GSM5332067_204788470029_R03C01_Red.idat.gz
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+M
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+AA
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+blood
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332068/suppl/GSM5332068_204788470029_R04C01_Red.idat.gz
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+M
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+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332069/suppl/GSM5332069_204788470029_R05C01_Grn.idat.gz
+
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+
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+
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+
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+62
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+
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+M
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+
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+H
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+
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+
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+
+70
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+H
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+blood
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+
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+M
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+54
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+W
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+
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+O
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+W
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+
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+
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+M
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+O
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+
+H
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+
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+
+O
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+
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+
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+
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+
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+ genomic
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+M
+
+
+79
+
+
+W
+
+
+0
+
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+1
+
+
+blood
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+
+
+
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+
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+
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+ genomic
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+M
+
+
+67
+
+
+W
+
+
+0
+
+
+0
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+
+blood
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+
+minfi
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+
+
+
+
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+
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+
+
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+ genomic
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+
+M
+
+
+63
+
+
+AA
+
+
+0
+
+
+0
+
+
+blood
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+
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+
+minfi
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+
+
+
+
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+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332098/suppl/GSM5332098_204787070061_R02C01_Red.idat.gz
+
+
+
+
+
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+ 2021-05-31
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+
+ COVID_08
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+ genomic
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+ Homo sapiens
+
+M
+
+
+78
+
+
+AA
+
+
+1
+
+
+1
+
+
+blood
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+
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+
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+
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+
+minfi
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+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332099/suppl/GSM5332099_204787070061_R03C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332099/suppl/GSM5332099_204787070061_R03C01_Red.idat.gz
+
+
+
+
+
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+ 2021-05-31
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+
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+ GSM5332100
+ genomic
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+ Homo sapiens
+
+M
+
+
+62
+
+
+O
+
+
+0
+
+
+1
+
+
+blood
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+ genomic DNA
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+
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+
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+
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+
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+
+minfi
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+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332100/suppl/GSM5332100_204787070061_R04C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332100/suppl/GSM5332100_204787070061_R04C01_Red.idat.gz
+
+
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+
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+
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+ genomic
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+ Homo sapiens
+
+M
+
+
+72
+
+
+H
+
+
+0
+
+
+1
+
+
+blood
+
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+
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+
+
+
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+
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+
+blood from COVID-19 patient
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+
+minfi
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+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332101/suppl/GSM5332101_204787070061_R05C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332101/suppl/GSM5332101_204787070061_R05C01_Red.idat.gz
+
+
+
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+
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+ 2021-05-31
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+
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+ GSM5332102
+ genomic
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+ Homo sapiens
+
+M
+
+
+46
+
+
+H
+
+
+1
+
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+1
+
+
+blood
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332102/suppl/GSM5332102_204787070061_R06C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332102/suppl/GSM5332102_204787070061_R06C01_Red.idat.gz
+
+
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+
+ 2021-05-23
+ 2021-05-31
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+
+ COVID_57
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+ genomic
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+
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+ Homo sapiens
+
+F
+
+
+30
+
+
+O
+
+
+0
+
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+1
+
+
+blood
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+minfi
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+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332103/suppl/GSM5332103_204787070061_R07C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332103/suppl/GSM5332103_204787070061_R07C01_Red.idat.gz
+
+
+
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+
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+ 2021-05-31
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+
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+ GSM5332104
+ genomic
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+ Homo sapiens
+
+F
+
+
+77
+
+
+O
+
+
+0
+
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+1
+
+
+blood
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332104/suppl/GSM5332104_204787070061_R08C01_Red.idat.gz
+
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+ 2021-05-31
+ 2021-05-31
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+ GSM5332105
+ genomic
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+ Homo sapiens
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+F
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+58
+
+
+W
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332105/suppl/GSM5332105_204425710044_R01C01_Red.idat.gz
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+W
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+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332106/suppl/GSM5332106_204425710044_R02C01_Red.idat.gz
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+ genomic DNA
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+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C9
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332107/suppl/GSM5332107_204425710044_R03C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332107/suppl/GSM5332107_204425710044_R03C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_21
+ GSM5332108
+ genomic
+ 1
+
+ COVID_21
+ Homo sapiens
+
+M
+
+
+66
+
+
+O
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C21
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332108/suppl/GSM5332108_204425710044_R04C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332108/suppl/GSM5332108_204425710044_R04C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_33
+ GSM5332109
+ genomic
+ 1
+
+ COVID_33
+ Homo sapiens
+
+M
+
+
+81
+
+
+W
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C33
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332109/suppl/GSM5332109_204425710044_R05C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332109/suppl/GSM5332109_204425710044_R05C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_45
+ GSM5332110
+ genomic
+ 1
+
+ COVID_45
+ Homo sapiens
+
+F
+
+
+62
+
+
+O
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C45
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332110/suppl/GSM5332110_204425710044_R06C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332110/suppl/GSM5332110_204425710044_R06C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_58
+ GSM5332111
+ genomic
+ 1
+
+ COVID_58
+ Homo sapiens
+
+M
+
+
+62
+
+
+H
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C58
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332111/suppl/GSM5332111_204425710044_R07C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332111/suppl/GSM5332111_204425710044_R07C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_70
+ GSM5332112
+ genomic
+ 1
+
+ COVID_70
+ Homo sapiens
+
+M
+
+
+81
+
+
+W
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C70
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332112/suppl/GSM5332112_204425710044_R08C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332112/suppl/GSM5332112_204425710044_R08C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ NONCOVID_12
+ GSM5332113
+ genomic
+ 1
+
+ NONCOVID_12
+ Homo sapiens
+
+M
+
+
+82
+
+
+W
+
+
+0
+
+
+0
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from non-COVID-19 patient
+NC12
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332113/suppl/GSM5332113_204088090161_R01C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332113/suppl/GSM5332113_204088090161_R01C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ NONCOVID_24
+ GSM5332114
+ genomic
+ 1
+
+ NONCOVID_24
+ Homo sapiens
+
+F
+
+
+32
+
+
+W
+
+
+0
+
+
+0
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from non-COVID-19 patient
+NC24
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332114/suppl/GSM5332114_204088090161_R02C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332114/suppl/GSM5332114_204088090161_R02C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_100.1
+ GSM5332115
+ genomic
+ 1
+
+ COVID_100.1
+ Homo sapiens
+
+F
+
+
+74
+
+
+W
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C100.1
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332115/suppl/GSM5332115_204088090161_R03C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332115/suppl/GSM5332115_204088090161_R03C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_22
+ GSM5332116
+ genomic
+ 1
+
+ COVID_22
+ Homo sapiens
+
+M
+
+
+43
+
+
+H
+
+
+1
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C22
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332116/suppl/GSM5332116_204088090161_R04C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332116/suppl/GSM5332116_204088090161_R04C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_34
+ GSM5332117
+ genomic
+ 1
+
+ COVID_34
+ Homo sapiens
+
+F
+
+
+64
+
+
+O
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C34
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332117/suppl/GSM5332117_204088090161_R05C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332117/suppl/GSM5332117_204088090161_R05C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_46
+ GSM5332118
+ genomic
+ 1
+
+ COVID_46
+ Homo sapiens
+
+M
+
+
+62
+
+
+W
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C46
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332118/suppl/GSM5332118_204088090161_R06C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332118/suppl/GSM5332118_204088090161_R06C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_59
+ GSM5332119
+ genomic
+ 1
+
+ COVID_59
+ Homo sapiens
+
+M
+
+
+55
+
+
+W
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C59
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332119/suppl/GSM5332119_204088090161_R07C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332119/suppl/GSM5332119_204088090161_R07C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-23
+ 2021-05-31
+ 2021-05-31
+
+ COVID_71
+ GSM5332120
+ genomic
+ 1
+
+ COVID_71
+ Homo sapiens
+
+M
+
+
+37
+
+
+H
+
+
+0
+
+
+1
+
+
+blood
+
+ genomic DNA
+
+genomic DNA from whole blood tissue was extracted using the GeneJET whole blood kit according to the manufacturer's recommendations
+
+
+
+standard illumina protocol
+
+
+
+hybridized to Illumina HumanMethylationEPIC arrays using standard Illumina instructions
+
+
+arrays were imaged using BeadArray Readerusing standard recommended settings
+
+
+blood from COVID-19 patient
+C71
+
+
+minfi
+matrix_processed.csv = average beta
+matrix_signal_intensities.csv = unmethylated and methylated signal intensities
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332120/suppl/GSM5332120_204088090161_R08C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5332nnn/GSM5332120/suppl/GSM5332120_204088090161_R08C01_Red.idat.gz
+
+
+
+
+
+ 2021-05-21
+ 2021-05-31
+ 2021-06-03
+
+ Genome-wide DNA methylation analysis of COVID-19 severity
+ GSE174818
+ 34034806
+
+Genome-wide DNA methylation analysis of COVID-19 severity using the Illumina HumanMethylationEPIC microarray platform to analyze over 850,000 methylation sites, comparing COVID-19 patients with patients presenting with respiratory symptoms, but negative for COVID-19, using whole blood tissue.
+
+
+Bisulfite converted DNA from whole blood tissue from 102 COVID-19 patients compared to 26 non-COVID-19 patients were run on the Illumina HumanMethylationEPIC platform.
+
+ Methylation profiling by array
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE174nnn/GSE174818/suppl/GSE174818_RAW.tar
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE174nnn/GSE174818/suppl/GSE174818_matrix_processed.csv.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE174nnn/GSE174818/suppl/GSE174818_matrix_signal_intensities.csv.gz
+
+
+
+
+
diff --git a/LC/GSE188573/meta/._GSE188573_family.soft b/LC/GSE188573/meta/._GSE188573_family.soft
new file mode 100644
index 0000000000000000000000000000000000000000..345009c492866c178e5cbe9d398267a20a2be35c
Binary files /dev/null and b/LC/GSE188573/meta/._GSE188573_family.soft differ
diff --git a/LC/GSE188573/meta/._GSE188573_family.xml b/LC/GSE188573/meta/._GSE188573_family.xml
new file mode 100644
index 0000000000000000000000000000000000000000..ee002bdbf30ea275ee81334c73660efdb9614b8c
Binary files /dev/null and b/LC/GSE188573/meta/._GSE188573_family.xml differ
diff --git a/LC/GSE188573/meta/._GSE188573_series_matrix.txt b/LC/GSE188573/meta/._GSE188573_series_matrix.txt
new file mode 100644
index 0000000000000000000000000000000000000000..12792bab610e924a65a7dc74adbd361413ac408b
Binary files /dev/null and b/LC/GSE188573/meta/._GSE188573_series_matrix.txt differ
diff --git a/LC/GSE188573/meta/GSE188573_family.xml/._GPL21145-tbl-1.txt b/LC/GSE188573/meta/GSE188573_family.xml/._GPL21145-tbl-1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2c62850228f1508bd494aea93ffec62307e25c27
Binary files /dev/null and b/LC/GSE188573/meta/GSE188573_family.xml/._GPL21145-tbl-1.txt differ
diff --git a/LC/GSE188573/meta/GSE188573_family.xml/._GSE188573_family.xml b/LC/GSE188573/meta/GSE188573_family.xml/._GSE188573_family.xml
new file mode 100644
index 0000000000000000000000000000000000000000..2c62850228f1508bd494aea93ffec62307e25c27
Binary files /dev/null and b/LC/GSE188573/meta/GSE188573_family.xml/._GSE188573_family.xml differ
diff --git a/LC/GSE188573/meta/GSE188573_family.xml/GSE188573_family.xml b/LC/GSE188573/meta/GSE188573_family.xml/GSE188573_family.xml
new file mode 100644
index 0000000000000000000000000000000000000000..3f7603b2841b18eb2a6b1af1209fe4b7940055f5
--- /dev/null
+++ b/LC/GSE188573/meta/GSE188573_family.xml/GSE188573_family.xml
@@ -0,0 +1,3627 @@
+
+
+
+
+
+ EstebanBallestar
+ Epigenetics and Immune Disease
+ Josep Carreras Research Institute (IJC)
+
+ Ctra de Can Ruti, Camí de les Escoles s/n
+ Badalona, Barcelona
+ N/A = Not Applicable
+ 08916
+ Spain
+
+
+
+
+ Illumina Inc.
+ expression@illumina.com, techsupport@illumina.com
+ 1 800 809 4566
+ Illumina Inc.
+
+ 9885 Towne Centre Drive
+ San Diego
+ CA
+ 92121
+ USA
+
+ www.illumina.com
+
+
+
+ GerardGodoy-Tena
+
+
+
+ AnisBarmada
+
+
+
+ OctavioMorante-Palacios
+
+
+
+ Carlosde la Calle-Fabregat
+
+
+
+ LauraCiudad
+
+
+
+ AdolfoRuiz-Sanmartín
+
+
+
+ MónicaMartínez-Gallo
+
+
+
+ MojcaFrank-Bertoncelj
+
+
+
+ RicardFerrer
+
+
+
+ JuanCRuiz-Rodriguez
+
+
+
+ JavierRodríguez-Ubreva
+
+
+
+ RoserVento-Tormo
+
+
+
+ Gene Expression Omnibus (GEO)
+ GEO
+ NCBI NLM NIH
+ http://www.ncbi.nlm.nih.gov/geo
+ geo@ncbi.nlm.nih.gov
+
+
+
+
+ 2015-11-16
+ 2015-11-16
+ 2019-01-20
+
+ Infinium MethylationEPIC
+ GPL21145
+ oligonucleotide beads
+ commercial
+ Homo sapiens
+ Illumina, Inc.
+
+See manufacturer's website
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/platforms/GPL21nnn/GPL21145/suppl/GPL21145_MethylationEPIC_15073387_v-1-0.csv.gz
+
+
+
+
+ ID
+ IlmnID
+
+
+ SPOT_ID
+
+
+ AddressA_ID
+
+
+ AlleleA_ProbeSeq
+
+
+ AddressB_ID
+
+
+ AlleleB_ProbeSeq
+
+
+ Infinium_Design_Type
+
+
+ Next_Base
+
+
+ Color_Channel
+
+
+ Forward_Sequence
+
+
+ Genome_Build
+
+
+ CHR
+
+
+ MAPINFO
+
+
+ SourceSeq
+
+
+GPL21145-tbl-1.txt
+
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes From HD number 5
+ GSM5685685
+ genomic
+ 1
+
+ Healthy Donor
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+59
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-C-5
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685685/suppl/GSM5685685_201414140005_R01C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685685/suppl/GSM5685685_201414140005_R01C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 49
+ GSM5685686
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+48
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-49
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685686/suppl/GSM5685686_201414140005_R02C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685686/suppl/GSM5685686_201414140005_R02C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 35
+ GSM5685687
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+58
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-35
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685687/suppl/GSM5685687_201414140005_R03C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685687/suppl/GSM5685687_201414140005_R03C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 65
+ GSM5685688
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+70
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-65
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685688/suppl/GSM5685688_201414140005_R04C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685688/suppl/GSM5685688_201414140005_R04C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 78
+ GSM5685689
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+39
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-78
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685689/suppl/GSM5685689_201414140005_R05C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685689/suppl/GSM5685689_201414140005_R05C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 97
+ GSM5685690
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+77
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-97
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685690/suppl/GSM5685690_201414140005_R06C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685690/suppl/GSM5685690_201414140005_R06C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 50
+ GSM5685691
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+32
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-50
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685691/suppl/GSM5685691_201414140005_R07C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685691/suppl/GSM5685691_201414140005_R07C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 52
+ GSM5685692
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+69
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-52
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685692/suppl/GSM5685692_201414140005_R08C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685692/suppl/GSM5685692_201414140005_R08C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes From HD number 2
+ GSM5685693
+ genomic
+ 1
+
+ Healthy Donor
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+29
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-C-2
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685693/suppl/GSM5685693_201414140052_R01C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685693/suppl/GSM5685693_201414140052_R01C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 75
+ GSM5685694
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+65
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-75
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685694/suppl/GSM5685694_201414140052_R02C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685694/suppl/GSM5685694_201414140052_R02C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 87
+ GSM5685695
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+51
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-87
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685695/suppl/GSM5685695_201414140052_R03C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685695/suppl/GSM5685695_201414140052_R03C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes From HD number 14
+ GSM5685696
+ genomic
+ 1
+
+ Healthy Donor
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+34
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-C-14
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685696/suppl/GSM5685696_201414140052_R04C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685696/suppl/GSM5685696_201414140052_R04C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 31
+ GSM5685697
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+65
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-31
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685697/suppl/GSM5685697_201414140052_R05C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685697/suppl/GSM5685697_201414140052_R05C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 64
+ GSM5685698
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+63
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-64
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685698/suppl/GSM5685698_201414140052_R06C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685698/suppl/GSM5685698_201414140052_R06C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 54
+ GSM5685699
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+57
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-54
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685699/suppl/GSM5685699_201414140052_R07C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685699/suppl/GSM5685699_201414140052_R07C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 83
+ GSM5685700
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+52
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-83
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685700/suppl/GSM5685700_201414140052_R08C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685700/suppl/GSM5685700_201414140052_R08C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 80
+ GSM5685701
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+57
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-80
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685701/suppl/GSM5685701_201414140027_R01C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685701/suppl/GSM5685701_201414140027_R01C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes From HD number 20
+ GSM5685702
+ genomic
+ 1
+
+ Healthy Donor
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+45
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-C-20
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685702/suppl/GSM5685702_201414140027_R02C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685702/suppl/GSM5685702_201414140027_R02C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 89
+ GSM5685703
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+57
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-89
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685703/suppl/GSM5685703_201414140027_R03C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685703/suppl/GSM5685703_201414140027_R03C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 57
+ GSM5685704
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+47
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-57
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685704/suppl/GSM5685704_201414140027_R05C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685704/suppl/GSM5685704_201414140027_R05C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 85
+ GSM5685705
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+71
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-85
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685705/suppl/GSM5685705_201414140027_R06C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685705/suppl/GSM5685705_201414140027_R06C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes From HD number 9
+ GSM5685706
+ genomic
+ 1
+
+ Healthy Donor
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+60
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-C-9
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685706/suppl/GSM5685706_201414140027_R07C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685706/suppl/GSM5685706_201414140027_R07C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 32
+ GSM5685707
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+50
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-32
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685707/suppl/GSM5685707_201414140027_R08C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685707/suppl/GSM5685707_201414140027_R08C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 55
+ GSM5685708
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+66
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-55
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685708/suppl/GSM5685708_201414140057_R01C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685708/suppl/GSM5685708_201414140057_R01C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 47
+ GSM5685709
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+60
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-47
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685709/suppl/GSM5685709_201414140057_R02C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685709/suppl/GSM5685709_201414140057_R02C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes From HD number 30
+ GSM5685710
+ genomic
+ 1
+
+ Healthy Donor
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+32
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-C-30
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685710/suppl/GSM5685710_201414140057_R04C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685710/suppl/GSM5685710_201414140057_R04C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 53
+ GSM5685711
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+62
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-53
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685711/suppl/GSM5685711_201414140057_R05C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685711/suppl/GSM5685711_201414140057_R05C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes From HD number 15
+ GSM5685712
+ genomic
+ 1
+
+ Healthy Donor
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+50
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-C-15
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685712/suppl/GSM5685712_201414140057_R06C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685712/suppl/GSM5685712_201414140057_R06C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 68
+ GSM5685713
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+57
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-68
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685713/suppl/GSM5685713_201414140057_R07C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685713/suppl/GSM5685713_201414140057_R07C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 62
+ GSM5685714
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+75
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-62
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685714/suppl/GSM5685714_201414140057_R08C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685714/suppl/GSM5685714_201414140057_R08C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 82
+ GSM5685715
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+76
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-82
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685715/suppl/GSM5685715_201414140002_R01C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685715/suppl/GSM5685715_201414140002_R01C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 48
+ GSM5685716
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+61
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-48
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685716/suppl/GSM5685716_201414140002_R02C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685716/suppl/GSM5685716_201414140002_R02C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 90
+ GSM5685717
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+56
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-90
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685717/suppl/GSM5685717_201414140002_R03C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685717/suppl/GSM5685717_201414140002_R03C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 70
+ GSM5685718
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+58
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-70
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685718/suppl/GSM5685718_201414140002_R04C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685718/suppl/GSM5685718_201414140002_R04C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 66
+ GSM5685719
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+70
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-66
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685719/suppl/GSM5685719_201414140002_R05C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685719/suppl/GSM5685719_201414140002_R05C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 69
+ GSM5685720
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+44
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-69
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685720/suppl/GSM5685720_201414140002_R06C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685720/suppl/GSM5685720_201414140002_R06C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 63
+ GSM5685721
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+45
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-63
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685721/suppl/GSM5685721_201414140002_R07C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685721/suppl/GSM5685721_201414140002_R07C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes From HD number 3
+ GSM5685722
+ genomic
+ 1
+
+ Healthy Donor
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+54
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-C-3
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685722/suppl/GSM5685722_201414140002_R08C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685722/suppl/GSM5685722_201414140002_R08C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 100
+ GSM5685723
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+80
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-100
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685723/suppl/GSM5685723_201414140022_R01C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685723/suppl/GSM5685723_201414140022_R01C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 58
+ GSM5685724
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+68
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-58
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685724/suppl/GSM5685724_201414140022_R02C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685724/suppl/GSM5685724_201414140022_R02C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 56
+ GSM5685725
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+51
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-56
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685725/suppl/GSM5685725_201414140022_R03C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685725/suppl/GSM5685725_201414140022_R03C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 72
+ GSM5685726
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+61
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-72
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685726/suppl/GSM5685726_201414140022_R04C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685726/suppl/GSM5685726_201414140022_R04C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes From HD number 24
+ GSM5685727
+ genomic
+ 1
+
+ Healthy Donor
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+54
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-C-24
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685727/suppl/GSM5685727_201414140022_R05C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685727/suppl/GSM5685727_201414140022_R05C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 84
+ GSM5685728
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+56
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-84
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685728/suppl/GSM5685728_201414140022_R06C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685728/suppl/GSM5685728_201414140022_R06C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 61
+ GSM5685729
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+71
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-61
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685729/suppl/GSM5685729_201414140022_R07C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685729/suppl/GSM5685729_201414140022_R07C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 29
+ GSM5685730
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+49
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-29
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685730/suppl/GSM5685730_201414140022_R08C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685730/suppl/GSM5685730_201414140022_R08C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 28
+ GSM5685731
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+48
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-28
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685731/suppl/GSM5685731_201414140059_R01C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685731/suppl/GSM5685731_201414140059_R01C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 88
+ GSM5685732
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+17
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-88
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685732/suppl/GSM5685732_201414140059_R02C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685732/suppl/GSM5685732_201414140059_R02C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 30
+ GSM5685733
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+73
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-30
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685733/suppl/GSM5685733_201414140059_R03C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685733/suppl/GSM5685733_201414140059_R03C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 67
+ GSM5685734
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+59
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-67
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685734/suppl/GSM5685734_201414140059_R04C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685734/suppl/GSM5685734_201414140059_R04C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 79
+ GSM5685735
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+60
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-79
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685735/suppl/GSM5685735_201414140059_R05C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685735/suppl/GSM5685735_201414140059_R05C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 94
+ GSM5685736
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Female
+
+
+48
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-94
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685736/suppl/GSM5685736_201414140059_R06C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685736/suppl/GSM5685736_201414140059_R06C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 81
+ GSM5685737
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+69
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-81
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685737/suppl/GSM5685737_201414140059_R07C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685737/suppl/GSM5685737_201414140059_R07C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes From HD number 10
+ GSM5685738
+ genomic
+ 1
+
+ Healthy Donor
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+57
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-C-10
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685738/suppl/GSM5685738_201414140059_R08C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685738/suppl/GSM5685738_201414140059_R08C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes From HD number 6
+ GSM5685739
+ genomic
+ 1
+
+ Healthy Donor
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+45
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-C-6
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685739/suppl/GSM5685739_201414140076_R01C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685739/suppl/GSM5685739_201414140076_R01C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 86
+ GSM5685740
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+63
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-86
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685740/suppl/GSM5685740_201414140076_R02C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685740/suppl/GSM5685740_201414140076_R02C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 76
+ GSM5685741
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+61
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-76
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685741/suppl/GSM5685741_201414140076_R03C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685741/suppl/GSM5685741_201414140076_R03C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 38
+ GSM5685742
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+63
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-38
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685742/suppl/GSM5685742_201414140076_R04C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685742/suppl/GSM5685742_201414140076_R04C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-11-01
+
+ Monocytes from severe COVID19 patient number 37
+ GSM5685743
+ genomic
+ 1
+
+ COVID19
+ Homo sapiens
+
+monocyte
+
+
+Male
+
+
+61
+
+
+Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter
+
+ genomic DNA
+
+Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction
+
+
+
+Standard Illumina Protocol
+
+
+
+Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol
+
+
+Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting
+
+
+CV19-I-O-37
+
+
+iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project
+Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685743/suppl/GSM5685743_201414140076_R05C01_Grn.idat.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685743/suppl/GSM5685743_201414140076_R05C01_Red.idat.gz
+
+
+
+
+
+ 2021-11-10
+ 2022-11-01
+ 2022-12-15
+
+ Epigenetic and transcriptomic remodeling in monocytes of severe COVID-19 patients mirrors systemic changes in cytokines and immune cell crosstalk
+ GSE188573
+ 36443794
+
+COVID-19 manifests with a wide spectrum of clinical phenotypes ranging from asymptomatic and mild to severe and critical. Severe and critical COVID-19 patients are characterized by a marked dysregulation in the myeloid compartment, especially monocytes; however, little is known about the epigenetic regulation of these cells in relation to hyperinflammatory responses in severe COVID-19 patients. In this study, we obtained the DNA methylome and transcriptome of monocytes from severe COVID-19 patients. We observed drastic DNA methylation changes encompassing impairment of type-I interferons (IFN), antigen presentation functions among others, in concordance with gene expression changes supporting the relevance of DNA methylation alterations in the dysregulation of the myeloid compartment. These changes were similar to those occurring in bacterial sepsis, although specific functions resulting from viral infection were also identified. Also, a progressive relationship of DNA methylation alterations and Sequential Organ Failure Assessment (SOFA) score was found related with IFNγ production and T-helper 1 cell cytokine production. Analysis of the single cell transcriptomes of other immune cell types allowed inferring dysregulation of communication between monocytes and other cell types like NK cells, plasma B cells and T cells, which can partly explain monocyte epigenome dysregulation, perpetuating a dysregulated response in these patients.
+
+
+Monocytes from 48 severe COVID19 patients and 11 healthy donors were sorted and DNA methylation analysis was performed.
+
+ Methylation profiling by array
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE188nnn/GSE188573/suppl/GSE188573_Matrix_processed.txt.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE188nnn/GSE188573/suppl/GSE188573_Matrix_signal.txt.gz
+
+
+ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE188nnn/GSE188573/suppl/GSE188573_RAW.tar
+
+
+
+
+
diff --git a/LC/GSE188573/meta/GSE188573_series_matrix.txt b/LC/GSE188573/meta/GSE188573_series_matrix.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b261e412f63e20c842406f535493bb8fae640a29
--- /dev/null
+++ b/LC/GSE188573/meta/GSE188573_series_matrix.txt
@@ -0,0 +1,77 @@
+!Series_title "Epigenetic and transcriptomic remodeling in monocytes of severe COVID-19 patients mirrors systemic changes in cytokines and immune cell crosstalk"
+!Series_geo_accession "GSE188573"
+!Series_status "Public on Nov 01 2022"
+!Series_submission_date "Nov 10 2021"
+!Series_last_update_date "Dec 15 2022"
+!Series_pubmed_id "36443794"
+!Series_summary "COVID-19 manifests with a wide spectrum of clinical phenotypes ranging from asymptomatic and mild to severe and critical. Severe and critical COVID-19 patients are characterized by a marked dysregulation in the myeloid compartment, especially monocytes; however, little is known about the epigenetic regulation of these cells in relation to hyperinflammatory responses in severe COVID-19 patients. In this study, we obtained the DNA methylome and transcriptome of monocytes from severe COVID-19 patients. We observed drastic DNA methylation changes encompassing impairment of type-I interferons (IFN), antigen presentation functions among others, in concordance with gene expression changes supporting the relevance of DNA methylation alterations in the dysregulation of the myeloid compartment. These changes were similar to those occurring in bacterial sepsis, although specific functions resulting from viral infection were also identified. Also, a progressive relationship of DNA methylation alterations and Sequential Organ Failure Assessment (SOFA) score was found related with IFNγ production and T-helper 1 cell cytokine production. Analysis of the single cell transcriptomes of other immune cell types allowed inferring dysregulation of communication between monocytes and other cell types like NK cells, plasma B cells and T cells, which can partly explain monocyte epigenome dysregulation, perpetuating a dysregulated response in these patients."
+!Series_overall_design "Monocytes from 48 severe COVID19 patients and 11 healthy donors were sorted and DNA methylation analysis was performed."
+!Series_type "Methylation profiling by array"
+!Series_contributor "Gerard,,Godoy-Tena"
+!Series_contributor "Anis,,Barmada"
+!Series_contributor "Octavio,,Morante-Palacios"
+!Series_contributor "Carlos,,de la Calle-Fabregat"
+!Series_contributor "Laura,,Ciudad"
+!Series_contributor "Adolfo,,Ruiz-Sanmartín"
+!Series_contributor "Mónica,,Martínez-Gallo"
+!Series_contributor "Mojca,,Frank-Bertoncelj"
+!Series_contributor "Ricard,,Ferrer"
+!Series_contributor "Juan,C,Ruiz-Rodriguez"
+!Series_contributor "Javier,,Rodríguez-Ubreva"
+!Series_contributor "Roser,,Vento-Tormo"
+!Series_contributor "Esteban,,Ballestar"
+!Series_sample_id "GSM5685685 GSM5685686 GSM5685687 GSM5685688 GSM5685689 GSM5685690 GSM5685691 GSM5685692 GSM5685693 GSM5685694 GSM5685695 GSM5685696 GSM5685697 GSM5685698 GSM5685699 GSM5685700 GSM5685701 GSM5685702 GSM5685703 GSM5685704 GSM5685705 GSM5685706 GSM5685707 GSM5685708 GSM5685709 GSM5685710 GSM5685711 GSM5685712 GSM5685713 GSM5685714 GSM5685715 GSM5685716 GSM5685717 GSM5685718 GSM5685719 GSM5685720 GSM5685721 GSM5685722 GSM5685723 GSM5685724 GSM5685725 GSM5685726 GSM5685727 GSM5685728 GSM5685729 GSM5685730 GSM5685731 GSM5685732 GSM5685733 GSM5685734 GSM5685735 GSM5685736 GSM5685737 GSM5685738 GSM5685739 GSM5685740 GSM5685741 GSM5685742 GSM5685743 "
+!Series_contact_name "Esteban,,Ballestar"
+!Series_contact_laboratory "Epigenetics and Immune Disease"
+!Series_contact_institute "Josep Carreras Research Institute (IJC)"
+!Series_contact_address "Ctra de Can Ruti, Camí de les Escoles s/n"
+!Series_contact_city "Badalona, Barcelona"
+!Series_contact_state "N/A = Not Applicable"
+!Series_contact_zip/postal_code "08916"
+!Series_contact_country "Spain"
+!Series_supplementary_file "ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE188nnn/GSE188573/suppl/GSE188573_Matrix_processed.txt.gz"
+!Series_supplementary_file "ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE188nnn/GSE188573/suppl/GSE188573_Matrix_signal.txt.gz"
+!Series_supplementary_file "ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE188nnn/GSE188573/suppl/GSE188573_RAW.tar"
+!Series_platform_id "GPL21145"
+!Series_platform_taxid "9606"
+!Series_sample_taxid "9606"
+!Series_relation "BioProject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA779439"
+
+!Sample_title "Monocytes From HD number 5" "Monocytes from severe COVID19 patient number 49" "Monocytes from severe COVID19 patient number 35" "Monocytes from severe COVID19 patient number 65" "Monocytes from severe COVID19 patient number 78" "Monocytes from severe COVID19 patient number 97" "Monocytes from severe COVID19 patient number 50" "Monocytes from severe COVID19 patient number 52" "Monocytes From HD number 2" "Monocytes from severe COVID19 patient number 75" "Monocytes from severe COVID19 patient number 87" "Monocytes From HD number 14" "Monocytes from severe COVID19 patient number 31" "Monocytes from severe COVID19 patient number 64" "Monocytes from severe COVID19 patient number 54" "Monocytes from severe COVID19 patient number 83" "Monocytes from severe COVID19 patient number 80" "Monocytes From HD number 20" "Monocytes from severe COVID19 patient number 89" "Monocytes from severe COVID19 patient number 57" "Monocytes from severe COVID19 patient number 85" "Monocytes From HD number 9" "Monocytes from severe COVID19 patient number 32" "Monocytes from severe COVID19 patient number 55" "Monocytes from severe COVID19 patient number 47" "Monocytes From HD number 30" "Monocytes from severe COVID19 patient number 53" "Monocytes From HD number 15" "Monocytes from severe COVID19 patient number 68" "Monocytes from severe COVID19 patient number 62" "Monocytes from severe COVID19 patient number 82" "Monocytes from severe COVID19 patient number 48" "Monocytes from severe COVID19 patient number 90" "Monocytes from severe COVID19 patient number 70" "Monocytes from severe COVID19 patient number 66" "Monocytes from severe COVID19 patient number 69" "Monocytes from severe COVID19 patient number 63" "Monocytes From HD number 3" "Monocytes from severe COVID19 patient number 100" "Monocytes from severe COVID19 patient number 58" "Monocytes from severe COVID19 patient number 56" "Monocytes from severe COVID19 patient number 72" "Monocytes From HD number 24" "Monocytes from severe COVID19 patient number 84" "Monocytes from severe COVID19 patient number 61" "Monocytes from severe COVID19 patient number 29" "Monocytes from severe COVID19 patient number 28" "Monocytes from severe COVID19 patient number 88" "Monocytes from severe COVID19 patient number 30" "Monocytes from severe COVID19 patient number 67" "Monocytes from severe COVID19 patient number 79" "Monocytes from severe COVID19 patient number 94" "Monocytes from severe COVID19 patient number 81" "Monocytes From HD number 10" "Monocytes From HD number 6" "Monocytes from severe COVID19 patient number 86" "Monocytes from severe COVID19 patient number 76" "Monocytes from severe COVID19 patient number 38" "Monocytes from severe COVID19 patient number 37"
+!Sample_geo_accession "GSM5685685" "GSM5685686" "GSM5685687" "GSM5685688" "GSM5685689" "GSM5685690" "GSM5685691" "GSM5685692" "GSM5685693" "GSM5685694" "GSM5685695" "GSM5685696" "GSM5685697" "GSM5685698" "GSM5685699" "GSM5685700" "GSM5685701" "GSM5685702" "GSM5685703" "GSM5685704" "GSM5685705" "GSM5685706" "GSM5685707" "GSM5685708" "GSM5685709" "GSM5685710" "GSM5685711" "GSM5685712" "GSM5685713" "GSM5685714" "GSM5685715" "GSM5685716" "GSM5685717" "GSM5685718" "GSM5685719" "GSM5685720" "GSM5685721" "GSM5685722" "GSM5685723" "GSM5685724" "GSM5685725" "GSM5685726" "GSM5685727" "GSM5685728" "GSM5685729" "GSM5685730" "GSM5685731" "GSM5685732" "GSM5685733" "GSM5685734" "GSM5685735" "GSM5685736" "GSM5685737" "GSM5685738" "GSM5685739" "GSM5685740" "GSM5685741" "GSM5685742" "GSM5685743"
+!Sample_status "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022" "Public on Nov 01 2022"
+!Sample_submission_date "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021" "Nov 10 2021"
+!Sample_last_update_date "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022" "Nov 01 2022"
+!Sample_type "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic" "genomic"
+!Sample_channel_count "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1" "1"
+!Sample_source_name_ch1 "Healthy Donor" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "Healthy Donor" "COVID19" "COVID19" "Healthy Donor" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "Healthy Donor" "COVID19" "COVID19" "COVID19" "Healthy Donor" "COVID19" "COVID19" "COVID19" "Healthy Donor" "COVID19" "Healthy Donor" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "Healthy Donor" "COVID19" "COVID19" "COVID19" "COVID19" "Healthy Donor" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "COVID19" "Healthy Donor" "Healthy Donor" "COVID19" "COVID19" "COVID19" "COVID19"
+!Sample_organism_ch1 "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens" "Homo sapiens"
+!Sample_characteristics_ch1 "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte" "cell tnype: monocyte"
+!Sample_characteristics_ch1 "gender: Female" "gender: Male" "gender: Male" "gender: Female" "gender: Male" "gender: Female" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Female" "gender: Female" "gender: Male" "gender: Male" "gender: Male" "gender: Female" "gender: Male" "gender: Female" "gender: Female" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Female" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Female" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Female" "gender: Female" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Female" "gender: Female" "gender: Female" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Female" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Male" "gender: Male"
+!Sample_characteristics_ch1 "age: 59" "age: 48" "age: 58" "age: 70" "age: 39" "age: 77" "age: 32" "age: 69" "age: 29" "age: 65" "age: 51" "age: 34" "age: 65" "age: 63" "age: 57" "age: 52" "age: 57" "age: 45" "age: 57" "age: 47" "age: 71" "age: 60" "age: 50" "age: 66" "age: 60" "age: 32" "age: 62" "age: 50" "age: 57" "age: 75" "age: 76" "age: 61" "age: 56" "age: 58" "age: 70" "age: 44" "age: 45" "age: 54" "age: 80" "age: 68" "age: 51" "age: 61" "age: 54" "age: 56" "age: 71" "age: 49" "age: 48" "age: 17" "age: 73" "age: 59" "age: 60" "age: 48" "age: 69" "age: 57" "age: 45" "age: 63" "age: 61" "age: 63" "age: 61"
+!Sample_growth_protocol_ch1 "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter" "Monocytes were isolated from severe COVID19 patients and Healthy donors using CD14 positive and CD15 negative selection by sorter"
+!Sample_molecule_ch1 "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA" "genomic DNA"
+!Sample_extract_protocol_ch1 "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction" "Total DNA was isolated using the AllPrep DNA/RNA/miRNA Universal Kit (Qiagen) according to manufacturer’s instruction"
+!Sample_label_ch1 "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3" "Cy5 and Cy3"
+!Sample_label_protocol_ch1 "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol" "Standard Illumina Protocol"
+!Sample_taxid_ch1 "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606" "9606"
+!Sample_hyb_protocol "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol" "Bisulfite-converted DNA was amplified, fragmented and hybridised to Illumina Infinium Human MethylationEPIC Beadchip using standard Illumina protocol"
+!Sample_scan_protocol "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting" "Arrays were imaged using BeadArray Reader using standard recommended Illumina scanner setting"
+!Sample_description "CV19-I-O-C-5" "CV19-I-O-49" "CV19-I-O-35" "CV19-I-O-65" "CV19-I-O-78" "CV19-I-O-97" "CV19-I-O-50" "CV19-I-O-52" "CV19-I-O-C-2" "CV19-I-O-75" "CV19-I-O-87" "CV19-I-O-C-14" "CV19-I-O-31" "CV19-I-O-64" "CV19-I-O-54" "CV19-I-O-83" "CV19-I-O-80" "CV19-I-O-C-20" "CV19-I-O-89" "CV19-I-O-57" "CV19-I-O-85" "CV19-I-O-C-9" "CV19-I-O-32" "CV19-I-O-55" "CV19-I-O-47" "CV19-I-O-C-30" "CV19-I-O-53" "CV19-I-O-C-15" "CV19-I-O-68" "CV19-I-O-62" "CV19-I-O-82" "CV19-I-O-48" "CV19-I-O-90" "CV19-I-O-70" "CV19-I-O-66" "CV19-I-O-69" "CV19-I-O-63" "CV19-I-O-C-3" "CV19-I-O-100" "CV19-I-O-58" "CV19-I-O-56" "CV19-I-O-72" "CV19-I-O-C-24" "CV19-I-O-84" "CV19-I-O-61" "CV19-I-O-29" "CV19-I-O-28" "CV19-I-O-88" "CV19-I-O-30" "CV19-I-O-67" "CV19-I-O-79" "CV19-I-O-94" "CV19-I-O-81" "CV19-I-O-C-10" "CV19-I-O-C-6" "CV19-I-O-86" "CV19-I-O-76" "CV19-I-O-38" "CV19-I-O-37"
+!Sample_data_processing "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project" "iDATs were analyzed using a standard pipeline, with the shinyepico package (1.0.0) of the Bioconductor project"
+!Sample_data_processing "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values" "Matrix_processed.txt contains Normalized (minfi preprocessNoob + preprocessQuantile) Beta values"
+!Sample_platform_id "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145" "GPL21145"
+!Sample_contact_name "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar" "Esteban,,Ballestar"
+!Sample_contact_laboratory "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease" "Epigenetics and Immune Disease"
+!Sample_contact_institute "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)" "Josep Carreras Research Institute (IJC)"
+!Sample_contact_address "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n" "Ctra de Can Ruti, Camí de les Escoles s/n"
+!Sample_contact_city "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona" "Badalona, Barcelona"
+!Sample_contact_state "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable" "N/A = Not Applicable"
+!Sample_contact_zip/postal_code "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916" "08916"
+!Sample_contact_country "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain" "Spain"
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"ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685693/suppl/GSM5685693_201414140052_R01C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685694/suppl/GSM5685694_201414140052_R02C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685695/suppl/GSM5685695_201414140052_R03C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685696/suppl/GSM5685696_201414140052_R04C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685697/suppl/GSM5685697_201414140052_R05C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685698/suppl/GSM5685698_201414140052_R06C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685699/suppl/GSM5685699_201414140052_R07C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685700/suppl/GSM5685700_201414140052_R08C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685701/suppl/GSM5685701_201414140027_R01C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685702/suppl/GSM5685702_201414140027_R02C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685703/suppl/GSM5685703_201414140027_R03C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685704/suppl/GSM5685704_201414140027_R05C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685705/suppl/GSM5685705_201414140027_R06C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685706/suppl/GSM5685706_201414140027_R07C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685707/suppl/GSM5685707_201414140027_R08C01_Grn.idat.gz" "ftp://ftp.ncbi.nlm.nih.gov/geo/samples/GSM5685nnn/GSM5685708/suppl/GSM5685708_201414140057_R01C01_Grn.idat.gz" 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+!series_matrix_table_begin
+"ID_REF" "GSM5685685" "GSM5685686" "GSM5685687" "GSM5685688" "GSM5685689" "GSM5685690" "GSM5685691" "GSM5685692" "GSM5685693" "GSM5685694" "GSM5685695" "GSM5685696" "GSM5685697" "GSM5685698" "GSM5685699" "GSM5685700" "GSM5685701" "GSM5685702" "GSM5685703" "GSM5685704" "GSM5685705" "GSM5685706" "GSM5685707" "GSM5685708" "GSM5685709" "GSM5685710" "GSM5685711" "GSM5685712" "GSM5685713" "GSM5685714" "GSM5685715" "GSM5685716" "GSM5685717" "GSM5685718" "GSM5685719" "GSM5685720" "GSM5685721" "GSM5685722" "GSM5685723" "GSM5685724" "GSM5685725" "GSM5685726" "GSM5685727" "GSM5685728" "GSM5685729" "GSM5685730" "GSM5685731" "GSM5685732" "GSM5685733" "GSM5685734" "GSM5685735" "GSM5685736" "GSM5685737" "GSM5685738" "GSM5685739" "GSM5685740" "GSM5685741" "GSM5685742" "GSM5685743"
+!series_matrix_table_end
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diff --git a/ME/GSE153667/._GSE153667_GeneMatrix.xlsx b/ME/GSE153667/._GSE153667_GeneMatrix.xlsx
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diff --git a/ME/GSE153667/._GSE153667_RAW b/ME/GSE153667/._GSE153667_RAW
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diff --git a/ME/GSE153667/GSE153667_Meth_Matrix.csv b/ME/GSE153667/GSE153667_Meth_Matrix.csv
new file mode 100644
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--- /dev/null
+++ b/ME/GSE153667/GSE153667_Meth_Matrix.csv
@@ -0,0 +1 @@
+chr,start,end,strand,Control,Patient,pvalue,qvalue,meth.diff,C001,C002,C003,C004,C005,C006,C007,C008,C011,C012C,ME001,ME003,ME004,ME006,ME007,ME009,ME011,ME014,ME015,ME016C
chr1,10497,10497,+,91.11111111,90.61135371,0.795814033,0.789969395,-0.499757399,81.81818182,100,96.34146341,86.66666667,86.84210526,85.12396694,,87.17948718,100,94.4,86.44067797,90.42553191,95.71428571,82.29166667,90.71038251,92.37288136,93.81443299,88.33333333,69.23076923,95.23809524
chr1,10525,10525,+,98.34710744,93.23308271,2.78216E-07,2.84836E-05,-5.114024731,94.82758621,100,96.34146341,100,96.05263158,97.52066116,,100,100,100,100,93.81443299,95.71428571,100,94.08602151,89.83050847,91.75257732,81.66666667,100,90.47619048
chr1,10526,10526,-,95.03448276,98.3805668,0.000339379,0.005784491,3.346084043,95.3125,89.0625,100,96.80851064,100,94.11764706,100,96.59090909,100,89.3081761,96.25,100,100,100,100,94.26751592,100,100,,
chr1,10542,10542,+,96.54218534,97.19827586,0.475291098,0.607562874,0.656090523,89.65517241,95.71428571,100,100,100,95.04132231,,91.02564103,100,97.6,92.53731343,100,100,100,95.16129032,100,100,100,100,90.47619048
chr1,10543,10543,-,99.17469051,97.59036145,0.021874887,0.094415181,-1.
\ No newline at end of file
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