The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 1074 new columns ({'h2a', 'znf2', 'tbp', 'ssrp1', 'ercc2', 'macroh2a2', 'smc3', 'irf1', 'hsf1', 'nfrkb', 'znf486', 'znf784', 'h2afx', 'nfatc3', 'nfic', 'znf341', 'atrx', 'hmg20a', 'znf222', 'cdca2', 'nipbl', 'prpf4', 'zfp69b', 'pdx1', 'znf217', 'znf280d', 'nkx2-5', 'rfx5', 'lmo1', 'rbck1', 'znf567', 'hoxa4', 'znf697', 'ybx1', 'grhl3', 'atf5', 'nfkb2', 'lmx1b', 'ttf1', 'creb3', 'fosl2', 'h3k36ac', 'hnf1b', 'stat5a', 'cebpb', 'znf549', 'csde1', 'chd7', 'glis3', 'zbtb24', 'znf343', 'dlx1', 'zbtb7a', 'znf467', 'six5', 'aebp2', 'elf3', 'xrcc4', 'hdac3', 'znf362', 'znf282', 'zbtb42', 'h3r26cit', 'stat5b', 'atf4', 'spdef', 'znf565', 'runx2', 'six2', 'stat5', 'erg', 'znf320', 'fxr1', 'alkbh3', 'creb3l4', 'znf33a', 'atf3', 'auts2', 'tfcp2', 'znf561', 'e2f4', 'ddx20', 'greb1', 'znf175', 'spib', 'smad2/3', 'egln2', 'ezh1', 'lrwd1', 'sap30', 'rxrg', 'gli4', 'zbtb8a', 'h3.3,h2a.z', 'scrt1', 'zbtb40', 'znf860', 'cnot3', 'glyr1', 'grhl2', 'rag2', 'zc3h8', 'h2bk120ub', 'tle3', 'smc1a', 'nfe2l2', 'camta2', 'nr1h2', 'znf165', 'hey1', 'tcf7l1', 'egr1', 'egr3', 'tead2', 'znf317', 'hoxa9', 'myb', 'brd3', 'smarca4', 'ehmt2', 'hdac8', 'znf440', 'dnase', 'mafb', 'mbd1', 'irf2', 'sox15', 'sirt6', 'znf141', 'ahrr', 'rexo1', 'klf16', 'tshz1', 'nfia', 'tfap2c', 'apobec3b', 'grip1', 'nr5a2', 'supt5h', 'bcor', 'stag1', 'suz12', 'zim3', 'hotair', 'hic1', 'lana', 'hnf4a', 'clock', 'tfam', 'hes2', 'id3', 'wrnip1', 'cdk9', 'znf281', 'znf250', 'hltf', 'foxq1', 'sox4', 'nfil3', 'dnmt1', 'rloop', 'h3k9k14ac', 'gucy1b3', 'tbx3', '
...
'h2bk5ac', 'znf808', 'foxa1/2', 'znf543', 'brd9', 'pax6', 'erf', 'ncapg2', 'znf664', 'epcam', 'ccdc101', 'h4ac', 'zbtb16', 'chd4', 'prdm6', 'phf2', 'gata6', 'znf468', 'zc3h11a', 'jmjd6', 'tbx21', 'kdm4b', 'med1', 'znf519', 'zfp69', 'nfya', 'znf512', 'arid3a', 'zbed1', 'drap1', 'smarce1', 'vdr', 'lmo2', 'rxra/b/g', 'eed', 'sp7', 'dpf1', 'znf547', 'ctbp2', 'rel', 'znf257', 'bahd1', 'h4', 'zxdb', 'taf7', 'ptpn11', 'h3f3a', 'nr1h3', 'h3-t45ph', 'psip1', 'znf121', 'mbd3', 'arntl2', 'usf2', 'pml', 'h2ax', 'h2a.zac', 'h2ak119ub', 'h3k122ac', 'tcf12', 'cebpg', 'rfx1', 'h2bk15ac', 'znf800', 'znf586', 'wnt3a', 'polr3g', 'znf266', 'krab', 'patz1', 'crem', 'cbx3', 'e2f3', 'h2bk12ac', 'h3k23ac', 'trrap', 'elk4', 'chd8', 'polr2b', 'atf1', 'foxp1', 'znf273', 'prmt1', 'faire', 'fos', 'srebf2', 'gata2', 'znf680', 'kdm3b', 'klf3', 'brd4', 'hnf1a', 'histone lysine acetylation', 'nr2f6', 'pygo2', 'relb', 'bmi1', 'tbx5', 'znf304', 'sumo2/3', 'klf12', 'mafg', 'nanog', 'pcgf1', 'fli1', 'h2az', 'h3k4me1', 'nfe2', 'wwtr1', 'ovol3', 'irf4', 'prdm2', 'ikzf1', 'id2', 'mnt', 'znf488', 'ercc6', 'mybl2', 'zfp42', 'znf589', 'hdac4', 'junb', 'znf93', 'zeb1', 'znf169', 'zbed4', 'znf391', 'h3k36me2', 'znf30', 'creb3l2', 'ar', 'zbtb48', 'h3k36me1', 'znf518a', 'hes4', 'klf8', 'rad51', 'hbp1', 'h3k79me2', 'phip', 'zscan16', 'ing5', 'larp7', 'macroh2a1', 'rpa2', 'carm1', 'rnf2', 'ccnt2', 'prdm12', 'znf17', 'fev', 'znf667', 'sp4', 'tsc22d4', 'hcfc1r1', 'h4k20me1', 'nfyc', 'cbx8', 'drosha', 'epc1', 'ing2', 'znf623'}) and 11 missing columns ({'end', 'gene_name', 'start', 'gene_biotype', 'build_region_index', 'strand', 'tss', 'loc2', 'gene_id', 'loc1', 'chrom'}).

This happened while the csv dataset builder was generating data using

hf://datasets/TongjiZhanglab/chrombert/hg38_6k_mask_matrix.tsv (at revision 721c67aecb0789c4eb204bc304f21779de7cd201), ['hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_1kb_gene_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_200bp_gene_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_2kb_gene_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_4kb_gene_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_6k_mask_matrix.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_6k_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/mm10_1kb_gene_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/mm10_5k_mask_matrix.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/mm10_5k_meta.tsv']

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/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Unnamed: 0: string
              5hmc: int64
              adnp: int64
              aebp2: int64
              aff1: int64
              aff4: int64
              ago1: int64
              ago2: int64
              ahr: int64
              ahrr: int64
              alkbh3: int64
              anp32e: int64
              apobec3b: int64
              ar: int64
              arid1a: int64
              arid2: int64
              arid3a: int64
              arid5b: int64
              arnt: int64
              arnt2: int64
              arntl: int64
              arntl2: int64
              arrb1: int64
              ascl1: int64
              ascl2: int64
              ash1l: int64
              ash2l: int64
              asxl1: int64
              atac-seq: int64
              atf1: int64
              atf2: int64
              atf3: int64
              atf4: int64
              atf5: int64
              atoh1: int64
              atrx: int64
              auts2: int64
              bach1: int64
              bach2: int64
              bahd1: int64
              banf1: int64
              banp: int64
              barhl1: int64
              barx1: int64
              barx2: int64
              batf: int64
              bcat1: int64
              bcl11a: int64
              bcl11b: int64
              bcl3: int64
              bcl6: int64
              bclaf1: int64
              bcor: int64
              bdp1: int64
              bhlhe40: int64
              bmi1: int64
              bptf: int64
              brca1: int64
              brd1: int64
              brd1-s: int64
              brd2: int64
              brd3: int64
              brd4: int64
              brd4-nut: int64
              brd7: int64
              brd9: int64
              brdu: int64
              brf1: int64
              brf2: int64
              brpf3: int64
              c17orf49: int64
              c17orf96: int64
              camta2: int64
              carm1: int64
              casp8ap2: int64
              cbfa2t2: int64
              cbfb: int64
              cbx1: int64
              cbx2: int64
              cbx3: int64
              cbx4: int64
              cbx5: int64
              cbx6: int64
              cbx7: int64
              cbx8: int64
              ccdc101: int64
              ccnd2: int64
              ccnt2: int64
              cd74: int64
              cdc5l: int64
              cdca2: int64
              cdk12: int64
              cdk6: int64
              cdk7: int64
              cdk8: int64
              cdk9: int64
              cdx1: int64
              cdx2: int64
              cebpa: int64
              cebpb: int64
              cebpd: int64
              cebpg: int64
              cebpz: int64
              cenpa: int64
              cenpc: int64
              cfp1: int64
              champ1: int64
              chd1: int64
              chd2: int64
              chd4: int64
              chd5: int64
              chd7: int64
              chd8: int64
              ciita: int64
              clock: int64
              cnot3: int64
              cops2: i
              ...
              4
              znf501: int64
              znf506: int64
              znf512: int64
              znf518a: int64
              znf519: int64
              znf528: int64
              znf534: int64
              znf543: int64
              znf547: int64
              znf549: int64
              znf554: int64
              znf558: int64
              znf561: int64
              znf563: int64
              znf565: int64
              znf567: int64
              znf571: int64
              znf573: int64
              znf574: int64
              znf580: int64
              znf581: int64
              znf584: int64
              znf585a: int64
              znf585b: int64
              znf586: int64
              znf589: int64
              znf592: int64
              znf596: int64
              znf600: int64
              znf605: int64
              znf610: int64
              znf611: int64
              znf616: int64
              znf623: int64
              znf627: int64
              znf639: int64
              znf641: int64
              znf644: int64
              znf649: int64
              znf654: int64
              znf664: int64
              znf667: int64
              znf671: int64
              znf674: int64
              znf675: int64
              znf680: int64
              znf682: int64
              znf687: int64
              znf692: int64
              znf695: int64
              znf697: int64
              znf701: int64
              znf706: int64
              znf707: int64
              znf71: int64
              znf711: int64
              znf714: int64
              znf730: int64
              znf740: int64
              znf750: int64
              znf75a: int64
              znf75d: int64
              znf76: int64
              znf765: int64
              znf766: int64
              znf770: int64
              znf778: int64
              znf780a: int64
              znf781: int64
              znf783: int64
              znf784: int64
              znf786: int64
              znf788: int64
              znf792: int64
              znf793: int64
              znf8: int64
              znf800: int64
              znf808: int64
              znf816: int64
              znf823: int64
              znf83: int64
              znf837: int64
              znf84: int64
              znf846: int64
              znf85: int64
              znf860: int64
              znf92: int64
              znf93: int64
              zscan16: int64
              zscan2: int64
              zscan20: int64
              zscan22: int64
              zscan23: int64
              zscan29: int64
              zscan31: int64
              zscan5a: int64
              zta: int64
              zxdb: int64
              zxdc: int64
              zzz3: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 115721
              to
              {'chrom': Value('string'), 'loc1': Value('int64'), 'loc2': Value('int64'), 'strand': Value('string'), 'tss': Value('int64'), 'gene_id': Value('string'), 'gene_name': Value('string'), 'gene_biotype': Value('string'), 'start': Value('int64'), 'end': Value('int64'), 'build_region_index': 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 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 1074 new columns ({'h2a', 'znf2', 'tbp', 'ssrp1', 'ercc2', 'macroh2a2', 'smc3', 'irf1', 'hsf1', 'nfrkb', 'znf486', 'znf784', 'h2afx', 'nfatc3', 'nfic', 'znf341', 'atrx', 'hmg20a', 'znf222', 'cdca2', 'nipbl', 'prpf4', 'zfp69b', 'pdx1', 'znf217', 'znf280d', 'nkx2-5', 'rfx5', 'lmo1', 'rbck1', 'znf567', 'hoxa4', 'znf697', 'ybx1', 'grhl3', 'atf5', 'nfkb2', 'lmx1b', 'ttf1', 'creb3', 'fosl2', 'h3k36ac', 'hnf1b', 'stat5a', 'cebpb', 'znf549', 'csde1', 'chd7', 'glis3', 'zbtb24', 'znf343', 'dlx1', 'zbtb7a', 'znf467', 'six5', 'aebp2', 'elf3', 'xrcc4', 'hdac3', 'znf362', 'znf282', 'zbtb42', 'h3r26cit', 'stat5b', 'atf4', 'spdef', 'znf565', 'runx2', 'six2', 'stat5', 'erg', 'znf320', 'fxr1', 'alkbh3', 'creb3l4', 'znf33a', 'atf3', 'auts2', 'tfcp2', 'znf561', 'e2f4', 'ddx20', 'greb1', 'znf175', 'spib', 'smad2/3', 'egln2', 'ezh1', 'lrwd1', 'sap30', 'rxrg', 'gli4', 'zbtb8a', 'h3.3,h2a.z', 'scrt1', 'zbtb40', 'znf860', 'cnot3', 'glyr1', 'grhl2', 'rag2', 'zc3h8', 'h2bk120ub', 'tle3', 'smc1a', 'nfe2l2', 'camta2', 'nr1h2', 'znf165', 'hey1', 'tcf7l1', 'egr1', 'egr3', 'tead2', 'znf317', 'hoxa9', 'myb', 'brd3', 'smarca4', 'ehmt2', 'hdac8', 'znf440', 'dnase', 'mafb', 'mbd1', 'irf2', 'sox15', 'sirt6', 'znf141', 'ahrr', 'rexo1', 'klf16', 'tshz1', 'nfia', 'tfap2c', 'apobec3b', 'grip1', 'nr5a2', 'supt5h', 'bcor', 'stag1', 'suz12', 'zim3', 'hotair', 'hic1', 'lana', 'hnf4a', 'clock', 'tfam', 'hes2', 'id3', 'wrnip1', 'cdk9', 'znf281', 'znf250', 'hltf', 'foxq1', 'sox4', 'nfil3', 'dnmt1', 'rloop', 'h3k9k14ac', 'gucy1b3', 'tbx3', '
              ...
              'h2bk5ac', 'znf808', 'foxa1/2', 'znf543', 'brd9', 'pax6', 'erf', 'ncapg2', 'znf664', 'epcam', 'ccdc101', 'h4ac', 'zbtb16', 'chd4', 'prdm6', 'phf2', 'gata6', 'znf468', 'zc3h11a', 'jmjd6', 'tbx21', 'kdm4b', 'med1', 'znf519', 'zfp69', 'nfya', 'znf512', 'arid3a', 'zbed1', 'drap1', 'smarce1', 'vdr', 'lmo2', 'rxra/b/g', 'eed', 'sp7', 'dpf1', 'znf547', 'ctbp2', 'rel', 'znf257', 'bahd1', 'h4', 'zxdb', 'taf7', 'ptpn11', 'h3f3a', 'nr1h3', 'h3-t45ph', 'psip1', 'znf121', 'mbd3', 'arntl2', 'usf2', 'pml', 'h2ax', 'h2a.zac', 'h2ak119ub', 'h3k122ac', 'tcf12', 'cebpg', 'rfx1', 'h2bk15ac', 'znf800', 'znf586', 'wnt3a', 'polr3g', 'znf266', 'krab', 'patz1', 'crem', 'cbx3', 'e2f3', 'h2bk12ac', 'h3k23ac', 'trrap', 'elk4', 'chd8', 'polr2b', 'atf1', 'foxp1', 'znf273', 'prmt1', 'faire', 'fos', 'srebf2', 'gata2', 'znf680', 'kdm3b', 'klf3', 'brd4', 'hnf1a', 'histone lysine acetylation', 'nr2f6', 'pygo2', 'relb', 'bmi1', 'tbx5', 'znf304', 'sumo2/3', 'klf12', 'mafg', 'nanog', 'pcgf1', 'fli1', 'h2az', 'h3k4me1', 'nfe2', 'wwtr1', 'ovol3', 'irf4', 'prdm2', 'ikzf1', 'id2', 'mnt', 'znf488', 'ercc6', 'mybl2', 'zfp42', 'znf589', 'hdac4', 'junb', 'znf93', 'zeb1', 'znf169', 'zbed4', 'znf391', 'h3k36me2', 'znf30', 'creb3l2', 'ar', 'zbtb48', 'h3k36me1', 'znf518a', 'hes4', 'klf8', 'rad51', 'hbp1', 'h3k79me2', 'phip', 'zscan16', 'ing5', 'larp7', 'macroh2a1', 'rpa2', 'carm1', 'rnf2', 'ccnt2', 'prdm12', 'znf17', 'fev', 'znf667', 'sp4', 'tsc22d4', 'hcfc1r1', 'h4k20me1', 'nfyc', 'cbx8', 'drosha', 'epc1', 'ing2', 'znf623'}) and 11 missing columns ({'end', 'gene_name', 'start', 'gene_biotype', 'build_region_index', 'strand', 'tss', 'loc2', 'gene_id', 'loc1', 'chrom'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/TongjiZhanglab/chrombert/hg38_6k_mask_matrix.tsv (at revision 721c67aecb0789c4eb204bc304f21779de7cd201), ['hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_1kb_gene_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_200bp_gene_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_2kb_gene_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_4kb_gene_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_6k_mask_matrix.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/hg38_6k_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/mm10_1kb_gene_meta.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/mm10_5k_mask_matrix.tsv', 'hf://datasets/TongjiZhanglab/chrombert@721c67aecb0789c4eb204bc304f21779de7cd201/mm10_5k_meta.tsv']
              
              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.

chrom
string
loc1
int64
loc2
int64
strand
string
tss
int64
gene_id
string
gene_name
string
gene_biotype
string
start
int64
end
int64
build_region_index
int64
chr1
182,696
184,174
+
182,696
ENSG00000279928
DDX11L17
unprocessed_pseudogene
182,000
183,000
40
chr1
2,581,560
2,584,533
+
2,581,560
ENSG00000228037
null
lncRNA
2,581,000
2,582,000
1,762
chr1
3,069,168
3,438,621
+
3,069,168
ENSG00000142611
PRDM16
protein_coding
3,069,000
3,070,000
2,125
chr1
5,301,928
5,307,394
-
5,307,394
ENSG00000284616
null
lncRNA
5,307,000
5,308,000
3,910
chr1
2,403,964
2,413,797
-
2,413,797
ENSG00000157911
PEX10
protein_coding
2,413,000
2,414,000
1,600
chr1
2,350,414
2,352,820
-
2,352,820
ENSG00000269896
null
transcribed_processed_pseudogene
2,352,000
2,353,000
1,545
chr1
3,944,547
3,949,024
-
3,949,024
ENSG00000226374
LINC01345
lncRNA
3,949,000
3,950,000
2,933
chr1
4,175,528
4,175,899
-
4,175,899
ENSG00000229280
EEF1DP6
processed_pseudogene
4,175,000
4,176,000
3,112
chr1
10,472,288
10,630,758
+
10,472,288
ENSG00000142655
PEX14
protein_coding
10,472,000
10,473,000
8,554
chr1
4,571,481
4,594,016
+
4,571,481
ENSG00000232596
LINC01646
lncRNA
4,571,000
4,572,000
3,400
chr1
4,412,027
4,424,689
+
4,412,027
ENSG00000235054
LINC01777
lncRNA
4,412,000
4,413,000
3,284
chr1
5,086,459
5,090,899
-
5,090,899
ENSG00000231510
LINC02782
lncRNA
5,090,000
5,091,000
3,757
chr1
2,425,980
2,505,532
+
2,425,980
ENSG00000149527
PLCH2
protein_coding
2,425,000
2,426,000
1,611
chr1
4,963,954
4,973,298
-
4,973,298
ENSG00000284739
null
lncRNA
4,973,000
4,974,000
3,685
chr1
9,292,894
9,369,532
+
9,292,894
ENSG00000171621
SPSB1
protein_coding
9,292,000
9,293,000
7,491
chr1
3,306,636
3,310,096
-
3,310,096
ENSG00000272235
null
lncRNA
3,310,000
3,311,000
2,347
chr1
4,479,131
4,484,375
-
4,484,375
ENSG00000284694
null
lncRNA
4,484,000
4,485,000
3,340
chr1
2,492,300
2,493,258
-
2,493,258
ENSG00000224387
null
lncRNA
2,493,000
2,494,000
1,676
chr1
9,035,106
9,088,478
-
9,088,478
ENSG00000142583
SLC2A5
protein_coding
9,088,000
9,089,000
7,306
chr1
4,973,381
4,981,568
+
4,973,381
ENSG00000284674
LINC02781
lncRNA
4,973,000
4,974,000
3,685
chr1
10,612,222
10,616,452
-
10,616,452
ENSG00000287727
null
lncRNA
10,616,000
10,617,000
8,693
chr1
266,855
268,655
+
266,855
ENSG00000286448
null
lncRNA
266,000
267,000
52
chr1
4,012,921
4,019,508
-
4,019,508
ENSG00000284703
null
lncRNA
4,019,000
4,020,000
2,992
chr1
9,943,428
9,985,501
+
9,943,428
ENSG00000173614
NMNAT1
protein_coding
9,943,000
9,944,000
8,093
chr1
15,191,828
15,192,845
-
15,192,845
ENSG00000215720
MFFP1
processed_pseudogene
15,192,000
15,193,000
12,298
chr1
9,983,141
9,984,568
+
9,983,141
ENSG00000241326
null
lncRNA
9,983,000
9,984,000
8,120
chr1
10,058,671
10,059,648
+
10,058,671
ENSG00000233623
PGAM1P11
processed_pseudogene
10,058,000
10,059,000
8,182
chr1
3,746,460
3,771,645
+
3,746,460
ENSG00000162592
CCDC27
protein_coding
3,746,000
3,747,000
2,757
chr1
11,479,155
11,537,551
+
11,479,155
ENSG00000204624
DISP3
protein_coding
11,479,000
11,480,000
9,466
chr1
2,590,639
2,633,016
-
2,633,016
ENSG00000142606
MMEL1
protein_coding
2,633,000
2,634,000
1,810
chr1
2,566,410
2,569,888
+
2,566,410
ENSG00000225931
null
TEC
2,566,000
2,567,000
1,747
chr1
15,152,532
15,220,478
+
15,152,532
ENSG00000171729
TMEM51
protein_coding
15,152,000
15,153,000
12,259
chr1
2,493,437
2,494,479
-
2,494,479
ENSG00000229393
null
lncRNA
2,494,000
2,495,000
1,677
chr1
16,246,840
16,352,480
-
16,352,480
ENSG00000037637
FBXO42
protein_coding
16,352,000
16,353,000
13,372
chr1
4,730,211
4,734,992
-
4,734,992
ENSG00000287586
null
lncRNA
4,734,000
4,735,000
3,530
chr1
18,871,430
18,902,724
-
18,902,724
ENSG00000159423
ALDH4A1
protein_coding
18,902,000
18,903,000
15,543
chr1
4,551,735
4,552,145
-
4,552,145
ENSG00000227169
null
lncRNA
4,552,000
4,553,000
3,386
chr1
5,554,747
5,554,881
+
5,554,747
ENSG00000283356
null
unprocessed_pseudogene
5,554,000
5,555,000
4,098
chr1
2,391,775
2,405,442
+
2,391,775
ENSG00000157916
RER1
protein_coding
2,391,000
2,392,000
1,579
chr1
2,508,537
2,526,597
-
2,526,597
ENSG00000157881
PANK4
protein_coding
2,526,000
2,527,000
1,708
chr1
8,026,738
8,122,702
+
8,026,738
ENSG00000238290
ERRFI1-DT
lncRNA
8,026,000
8,027,000
6,307
chr1
18,385,829
18,388,514
+
18,385,829
ENSG00000225387
null
lncRNA
18,385,000
18,386,000
15,080
chr1
12,230,030
12,512,047
+
12,230,030
ENSG00000048707
VPS13D
protein_coding
12,230,000
12,231,000
10,157
chr1
12,220,794
12,221,109
-
12,221,109
ENSG00000225196
RPL10P17
processed_pseudogene
12,221,000
12,222,000
10,149
chr1
9,997,206
10,016,021
+
9,997,206
ENSG00000162444
RBP7
protein_coding
9,997,000
9,998,000
8,129
chr1
22,364,630
22,366,482
-
22,366,482
ENSG00000279625
null
TEC
22,366,000
22,367,000
18,700
chr1
9,100,305
9,129,102
-
9,129,102
ENSG00000180758
GPR157
protein_coding
9,129,000
9,130,000
7,344
chr1
22,428,838
22,531,157
+
22,428,838
ENSG00000184677
ZBTB40
protein_coding
22,428,000
22,429,000
18,757
chr1
16,228,674
16,231,335
-
16,231,335
ENSG00000288398
null
lncRNA
16,231,000
16,232,000
13,262
chr1
16,159,266
16,161,883
+
16,159,266
ENSG00000224621
null
lncRNA
16,159,000
16,160,000
13,194
chr1
11,500,803
11,502,016
-
11,502,016
ENSG00000285833
null
lncRNA
11,502,000
11,503,000
9,486
chr1
5,862,811
5,992,473
-
5,992,473
ENSG00000131697
NPHP4
protein_coding
5,992,000
5,993,000
4,469
chr1
5,478,736
5,493,057
-
5,493,057
ENSG00000284692
null
lncRNA
5,493,000
5,494,000
4,055
chr1
2,960,658
2,968,707
-
2,968,707
ENSG00000284745
null
lncRNA
2,968,000
2,969,000
2,036
chr1
18,109,389
18,115,861
+
18,109,389
ENSG00000280222
null
TEC
18,109,000
18,110,000
14,836
chr1
2,768,091
2,784,733
+
2,768,091
ENSG00000285945
null
lncRNA
2,768,000
2,769,000
1,862
chr1
2,528,745
2,530,263
-
2,530,263
ENSG00000197921
HES5
protein_coding
2,530,000
2,531,000
1,712
chr1
25,043,707
25,113,120
-
25,113,120
ENSG00000233755
null
lncRNA
25,113,000
25,114,000
21,248
chr1
16,241,213
16,241,398
-
16,241,398
ENSG00000233929
MT1XP1
processed_pseudogene
16,241,000
16,242,000
13,270
chr1
16,197,854
16,198,357
+
16,197,854
ENSG00000234166
ARHGEF19-AS1
lncRNA
16,197,000
16,198,000
13,232
chr1
18,513,118
18,513,383
+
18,513,118
ENSG00000235282
DYNLL1P3
processed_pseudogene
18,513,000
18,514,000
15,197
chr1
16,352,575
16,398,145
+
16,352,575
ENSG00000055070
SZRD1
protein_coding
16,352,000
16,353,000
13,372
chr1
26,111,165
26,125,555
+
26,111,165
ENSG00000175087
PDIK1L
protein_coding
26,111,000
26,112,000
22,166
chr1
18,166,929
18,179,346
-
18,179,346
ENSG00000230035
IGSF21-AS1
lncRNA
18,179,000
18,180,000
14,896
chr1
25,581,478
25,590,356
+
25,581,478
ENSG00000225643
null
lncRNA
25,581,000
25,582,000
21,664
chr1
5,480,787
5,482,028
-
5,482,028
ENSG00000284666
null
lncRNA
5,482,000
5,483,000
4,047
chr1
28,109,739
28,110,298
+
28,109,739
ENSG00000228943
null
processed_pseudogene
28,109,000
28,110,000
23,982
chr1
22,322,840
22,323,331
-
22,323,331
ENSG00000234397
PPIAP34
processed_pseudogene
22,323,000
22,324,000
18,662
chr1
26,046,665
26,049,099
+
26,046,665
ENSG00000284309
null
lncRNA
26,046,000
26,047,000
22,105
chr1
30,732,469
30,757,774
-
30,757,774
ENSG00000162511
LAPTM5
protein_coding
30,757,000
30,758,000
26,333
chr1
26,037,252
26,046,118
-
26,046,118
ENSG00000158014
SLC30A2
protein_coding
26,046,000
26,047,000
22,105
chr1
28,369,582
28,500,364
+
28,369,582
ENSG00000204138
PHACTR4
protein_coding
28,369,000
28,370,000
24,222
chr1
25,125,053
25,125,454
-
25,125,454
ENSG00000233419
IFITM3P7
processed_pseudogene
25,125,000
25,126,000
21,259
chr1
9,501,092
9,503,471
-
9,503,471
ENSG00000235263
null
lncRNA
9,503,000
9,504,000
7,688
chr1
29,708,851
29,709,547
-
29,709,547
ENSG00000228176
null
lncRNA
29,709,000
29,710,000
25,424
chr1
30,226,523
30,226,615
+
30,226,523
ENSG00000231251
null
processed_pseudogene
30,226,000
30,227,000
25,864
chr1
26,177,484
26,189,884
+
26,177,484
ENSG00000142675
CNKSR1
protein_coding
26,177,000
26,178,000
22,228
chr1
26,159,079
26,163,962
+
26,159,079
ENSG00000197245
FAM110D
protein_coding
26,159,000
26,160,000
22,211
chr1
28,329,002
28,335,965
+
28,329,002
ENSG00000130772
MED18
protein_coding
28,329,000
28,330,000
24,189
chr1
31,487,589
31,488,930
-
31,488,930
ENSG00000215899
EEF1A1P46
processed_pseudogene
31,488,000
31,489,000
27,018
chr1
28,247,144
28,247,568
+
28,247,144
ENSG00000271398
null
lncRNA
28,247,000
28,248,000
24,111
chr1
29,488,193
29,496,893
-
29,496,893
ENSG00000225011
null
unprocessed_pseudogene
29,496,000
29,497,000
25,242
chr1
26,647,447
26,647,681
+
26,647,447
ENSG00000235069
null
processed_pseudogene
26,647,000
26,648,000
22,647
chr1
29,755,175
29,790,597
+
29,755,175
ENSG00000284676
null
lncRNA
29,755,000
29,756,000
25,459
chr1
2,632,568
2,636,620
+
2,632,568
ENSG00000237058
MMEL1-AS1
lncRNA
2,632,000
2,633,000
1,809
chr1
30,013,952
30,037,612
-
30,037,612
ENSG00000233399
LINC01648
lncRNA
30,037,000
30,038,000
25,698
chr1
27,098,809
27,166,981
-
27,166,981
ENSG00000090020
SLC9A1
protein_coding
27,166,000
27,167,000
23,122
chr1
25,543,606
25,568,886
+
25,543,606
ENSG00000157978
LDLRAP1
protein_coding
25,543,000
25,544,000
21,628
chr1
28,236,109
28,246,906
+
28,236,109
ENSG00000130770
ATP5IF1
protein_coding
28,236,000
28,237,000
24,100
chr1
31,333,067
31,346,799
-
31,346,799
ENSG00000229044
null
lncRNA
31,346,000
31,347,000
26,886
chr1
30,869,466
30,908,758
-
30,908,758
ENSG00000162512
SDC3
protein_coding
30,908,000
30,909,000
26,480
chr1
25,959,767
25,998,117
-
25,998,117
ENSG00000158006
PAFAH2
protein_coding
25,998,000
25,999,000
22,061
chr1
28,120,449
28,121,321
-
28,121,321
ENSG00000214812
ARL8BP2
processed_pseudogene
28,121,000
28,122,000
23,992
chr1
28,199,456
28,233,029
-
28,233,029
ENSG00000126698
DNAJC8
protein_coding
28,233,000
28,234,000
24,097
chr1
31,263,245
31,263,681
-
31,263,681
ENSG00000229447
null
processed_pseudogene
31,263,000
31,264,000
26,809
chr1
30,810,378
30,815,553
-
30,815,553
ENSG00000229607
null
lncRNA
30,815,000
30,816,000
26,391
chr1
28,259,518
28,282,491
+
28,259,518
ENSG00000130766
SESN2
protein_coding
28,259,000
28,260,000
24,121
chr1
31,409,565
31,434,680
+
31,409,565
ENSG00000168528
SERINC2
protein_coding
31,409,000
31,410,000
26,944
chr1
4,654,609
4,792,534
+
4,654,609
ENSG00000196581
AJAP1
protein_coding
4,654,000
4,655,000
3,463
chr1
28,147,166
28,193,936
-
28,193,936
ENSG00000169403
PTAFR
protein_coding
28,193,000
28,194,000
24,062
End of preview.