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Status |
Public on Mar 04, 2020 |
Title |
Time course regulatory analysis based on paired expression and chromatin accessibility data |
Organism |
Mus musculus |
Experiment type |
Expression profiling by high throughput sequencing Genome binding/occupancy profiling by high throughput sequencing
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Summary |
We propose a tool named TimeReg to do Time Course Regulatory Analysis from paired gene expression and chromatin accessibility data.
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Overall design |
To generate RNA-seq and ATAC-seq data on the retinoic acid-induced mESC differenation at Day 0, Day 2, Day 4, Day 10 and Day 20.
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Contributor(s) |
Duren Z, Chen X, Wang Y, Wong WH |
Citation(s) |
32188700 |
Submission date |
Aug 26, 2019 |
Last update date |
May 18, 2020 |
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 |
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Platforms (3) |
GPL17021 |
Illumina HiSeq 2500 (Mus musculus) |
GPL19057 |
Illumina NextSeq 500 (Mus musculus) |
GPL21103 |
Illumina HiSeq 4000 (Mus musculus) |
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Samples (54)
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Relations |
BioProject |
PRJNA562161 |
SRA |
SRP219274 |