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Series GSE98479 Query DataSets for GSE98479
Status Public on May 03, 2017
Title Modeling gene regulation from matched expression and chromatin accessibility data
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Other
Summary We propose a statistical method to model gene regulation by paired expression and chromatin accessibility (PECA) data, which dissects the regulatory elements (RE) of the genome by modeling their interaction with general chromatin regulators (CR) and sequence-specific transcriptional regulators (TF) and consequent effects on transcriptional changes.
 
Overall design To generate RNA-seq and ATAC-seq data on the retinoic acid-induced mESC differenation at Day 6.
 
Contributor(s) Duren Z, Chen X, Jiang R, Wang Y, Wong WH
Citation(s) 28576882
Submission date May 02, 2017
Last update date May 15, 2019
Contact name Zhana Duren
E-mail durenzn@amss.ac.cn
Organization name Stanford university
Street address 318 Campus Drive
City Stanford
State/province CA
ZIP/Postal code 90304
Country USA
 
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (6)
GSM2597242 RNAseq_RA-d6-1
GSM2597243 RNAseq_RA-d6-2
GSM2597244 RNAseq_RA-d6-3
Relations
BioProject PRJNA385189
SRA SRP106135

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

Supplementary file Size Download File type/resource
GSE98479_RAd6_sorted.bed.gz 5.5 Mb (ftp)(http) BED
GSE98479_RNA-seq.txt.gz 282.7 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data is available on Series record

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