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Series GSE93834 Query DataSets for GSE93834
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
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.
 
Overall design Significant interactions of Hi-C data from two cell lines. Hi-C data are used from GSE43070.
 
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
Organization name Institute of Health Service and Transfusion Medicine
Street address taiping road 27
City Beijing
ZIP/Postal code 100850
Country China
 
Relations
Reanalysis of GSM1055800
Reanalysis of GSM1055805
SRA SRX212177
SRA SRX212172
BioProject PRJNA362564

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SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

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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