|
| 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(s) |
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)
|
|
| Relations |
| BioProject |
PRJNA385189 |
| SRA |
SRP106135 |
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