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| Status |
Public on May 09, 2017 |
| Title |
Compute the Significant Interactions of Hi-C data through HOMER |
| Sample organism |
Homo sapiens |
| Experiment type |
Third-party reanalysis
Other
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| Summary |
Purpose: We can explain the related biological significance from the enhanced proximity in the Hi-C data.
Methods: 1. Look for pairs of regions that have more Hi-C reads between them than would be expected by chance. 2.The expected number of reads is calculated using the background model.
Result: We found 261,758 significant interactions from H1 cell line and 133,169 significant interactions from IMR90 cell line.
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| Overall design |
Significant interactions of Hi-C data from two cell lines. Hi-C data are used from GSE43070.
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| Contributor(s) |
Chen H, Jiang S, Zhang Z |
| Citation(s) |
28472433 |
| Submission date |
Jan 19, 2017 |
| Last update date |
May 15, 2019 |
| Contact name |
hebing chen |
| E-mail(s) |
chenhb@bmi.ac.cn
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| Organization name |
Institute of Health Service and Transfusion Medicine
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| Street address |
taiping road 27
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| City |
Beijing |
| ZIP/Postal code |
100850 |
| Country |
China |
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| Relations |
| Reanalysis of |
GSM1055800 |
| Reanalysis of |
GSM1055805 |
| SRA |
SRX212177 |
| SRA |
SRX212172 |
| BioProject |
PRJNA362564 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE93834_H1_significantInteractions_5k.txt.gz |
11.6 Mb |
(ftp)(http) |
TXT |
| GSE93834_Imr90_significantInteractions_5k.txt.gz |
5.8 Mb |
(ftp)(http) |
TXT |
| GSE93834_README_supplemental_data.txt |
810 b |
(ftp)(http) |
TXT |
| Processed data are available on Series record |
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