Name
Abstract | ||
|---|---|---|
A Summary: Unraveling transcriptional circuits controlling embryonic stem cell maintenance and fate has great potential for improving our understanding of normal development as well as disease. To facilitate this, we have developed a novel web tool called 'TRES' that predicts the likely upstream regulators for a given gene list. This is achieved by integrating transcription factor (TF) binding events from 187 ChIP-sequencing and ChIP-on-chip datasets in murine and human embryonic stem (ES) cells with over 1000 mammalian TF sequence motifs. Using 114 TF perturbation gene sets, as well as 115 co-expression clusters in ES cells, we validate the utility of this approach. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1093/bioinformatics/btu399 | BIOINFORMATICS |
Field | DocType | Volume |
World Wide Web,Stem cell,Computer science,Embryonic stem cell,Bioinformatics,Medical research,Library science,General partnership,Excellence,Government | Journal | 30 |
Issue | ISSN | Citations |
20 | 1367-4803 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| C.M. Pooley | 1 | 2 | 1.53 |
| David Ruau | 2 | 42 | 2.64 |
| Patrick Lombard | 3 | 9 | 1.16 |
| Berthold Gottgens | 4 | 103 | 10.04 |
| Anagha Joshi | 5 | 93 | 7.43 |