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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 3 new columns ({'median_tpm', 'q75_tpm', 'q25_tpm'}) and 2 missing columns ({'unit', 'abundance'}).

This happened while the csv dataset builder was generating data using

gzip://reference_expression.tsv::hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/expression/reference_expression.tsv.gz, ['hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/expression/protein_abundance_mmu.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/expression/reference_expression.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/expression/reference_expression_mmu.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/chowell_iedb_full.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/chowell_iedb_full_matched.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/chowell_rebuilt.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/chowell_rebuilt_hla_matched.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/hla_pop_freqs.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/iedb_labeled.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/immunogenicity_legacy_arms.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/kesmir_rebuilt.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/kesmir_rebuilt_hla_matched.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/ligandome/cancer_targets_tsarina.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/ligandome/tissue_self_mmu.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/ligandome/viral_foreign_iedb.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/ligandome/viral_orfs_gse272406.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/nci_complete_minigenes.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/nci_gartner_mmp.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/nci_gartner_nmers.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/nci_gartner_samples.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/neoag_candidates.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/neoag_tested.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/neoag_tested_hsa.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/neoag_tested_mmu.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/neoantigens_tested_peptides.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/sahin_tnbc_2025.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/sahin_tnbc_2025_deg.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/sahin_tnbc_2025_drivers.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/sahin_tnbc_2025_gsea.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/pmhc/pmhc_full.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/pmhc/pmhc_shortlist.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/summary.tsv', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/tcga/hla_coverage.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/tcga/tcga_neoantigens.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/thymus/thymus_expression.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/thymus/thymus_expression_mmu.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/thymus/thymus_immunopeptidome.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/thymus/thymus_immunopeptidome_mmu.tsv.gz']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              key: string
              key_type: string
              source: string
              context: string
              median_tpm: double
              q25_tpm: double
              q75_tpm: double
              n: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1179
              to
              {'key': Value('string'), 'key_type': Value('string'), 'source': Value('string'), 'context': Value('string'), 'abundance': Value('float64'), 'unit': Value('string'), 'n': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 3 new columns ({'median_tpm', 'q75_tpm', 'q25_tpm'}) and 2 missing columns ({'unit', 'abundance'}).
              
              This happened while the csv dataset builder was generating data using
              
              gzip://reference_expression.tsv::hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/expression/reference_expression.tsv.gz, ['hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/expression/protein_abundance_mmu.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/expression/reference_expression.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/expression/reference_expression_mmu.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/chowell_iedb_full.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/chowell_iedb_full_matched.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/chowell_rebuilt.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/chowell_rebuilt_hla_matched.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/hla_pop_freqs.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/iedb_labeled.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/immunogenicity_legacy_arms.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/kesmir_rebuilt.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/immunogenicity/kesmir_rebuilt_hla_matched.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/ligandome/cancer_targets_tsarina.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/ligandome/tissue_self_mmu.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/ligandome/viral_foreign_iedb.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/ligandome/viral_orfs_gse272406.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/nci_complete_minigenes.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/nci_gartner_mmp.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/nci_gartner_nmers.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/nci_gartner_samples.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/neoag_candidates.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/neoag_tested.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/neoag_tested_hsa.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/neoag_tested_mmu.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/neoantigens_tested_peptides.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/sahin_tnbc_2025.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/sahin_tnbc_2025_deg.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/sahin_tnbc_2025_drivers.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/neoantigens/sahin_tnbc_2025_gsea.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/pmhc/pmhc_full.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/pmhc/pmhc_shortlist.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/summary.tsv', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/tcga/hla_coverage.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/tcga/tcga_neoantigens.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/thymus/thymus_expression.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/thymus/thymus_expression_mmu.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/thymus/thymus_immunopeptidome.tsv.gz', 'hf://datasets/isalgo/pmhc_data@2b11522f1abbbcc7a956f8f350f22b40b748fda6/thymus/thymus_immunopeptidome_mmu.tsv.gz']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

key
string
key_type
string
source
string
context
string
abundance
float64
unit
string
n
int64
1110004F10Rik
gene
geiger_silac_mouse
adrenal gland
9.503352
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
brown adipose tissue
5.477521
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
cerebellum
10.536943
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
cerebral cortex
567.907984
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
colon
13.991355
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
cortex of kidney
35.023512
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
diaphragm
11.573179
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
duodenum
0
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
eye
46.446443
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
heart
8.763241
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
ileum
78.350376
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
liver
18.328017
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
lung
4.526099
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
medulla oblongata
7.632872
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
midbrain
0
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
olfactory bulb
0
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
ovary
16.888745
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
pancreas
23.260017
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
renal medulla
0.6718
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
saliva-secreting gland
0
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
skeletal muscle
8.429735
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
spleen
60.555384
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
stomach
14.412103
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
thymus
99.372218
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
uterus
59.774248
ppb_ibaq
1
1110004F10Rik
gene
geiger_silac_mouse
white adipose tissue
0
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
adrenal gland
0.692229
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
brown adipose tissue
2.940709
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
cerebellum
0
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
cerebral cortex
0
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
colon
0.884152
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
cortex of kidney
2.73281
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
diaphragm
0.826445
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
duodenum
0.414407
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
eye
1.4247
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
heart
0.22724
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
ileum
0
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
liver
4.117084
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
lung
14.936838
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
medulla oblongata
0.397245
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
midbrain
0
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
olfactory bulb
0
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
ovary
15.269476
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
pancreas
0
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
renal medulla
0.596585
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
saliva-secreting gland
2.308357
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
skeletal muscle
0
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
spleen
0
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
stomach
0
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
thymus
1.792013
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
uterus
5.739873
ppb_ibaq
1
1300017J02Rik
gene
geiger_silac_mouse
white adipose tissue
5.536923
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
adrenal gland
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
brown adipose tissue
26.91682
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
cerebellum
4.222106
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
cerebral cortex
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
colon
4.083397
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
cortex of kidney
11.723165
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
diaphragm
2.302195
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
duodenum
4.450251
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
eye
3.797505
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
heart
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
ileum
80.167933
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
liver
98.342164
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
lung
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
medulla oblongata
2.487789
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
midbrain
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
olfactory bulb
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
ovary
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
pancreas
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
renal medulla
3.623584
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
saliva-secreting gland
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
skeletal muscle
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
spleen
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
stomach
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
thymus
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
uterus
0
ppb_ibaq
1
1600014C10Rik
gene
geiger_silac_mouse
white adipose tissue
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
adrenal gland
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
brown adipose tissue
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
cerebellum
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
cerebral cortex
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
colon
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
cortex of kidney
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
diaphragm
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
duodenum
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
eye
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
heart
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
ileum
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
liver
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
lung
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
medulla oblongata
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
midbrain
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
olfactory bulb
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
ovary
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
pancreas
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
renal medulla
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
saliva-secreting gland
111.218143
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
skeletal muscle
0
ppb_ibaq
1
1700019D03Rik
gene
geiger_silac_mouse
spleen
0
ppb_ibaq
1
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