Title
Chipmodule: Systematic Discovery Of Transcription Factors And Their Cofactors From Chip-Seq Data
Abstract
We have developed a novel approach called ChIPModule to systematically discover transcription factors and their cofactors from ChIP-seq data. Given a ChIP-seq dataset and the binding patterns of a large number of transcription factors, ChIPModule can efficiently identify groups of transcription factors, whose binding sites significantly co-occur in the ChIP-seq peak regions. By testing ChIPModule on simulated data and experimental data, we have shown that ChIPModule identifies known cofactors of transcription factors, and predicts new cofactors that are supported by literature. ChIPModule provides a useful tool for studying gene transcriptional regulation.
Publication Date
1-1-2013
Publication Title
Pacific Symposium on Biocomputing
Number of Pages
320-331
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84891390878 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84891390878
STARS Citation
Ding, Jun; Cai, Xiaohui; Wang, Ying; Hu, Haiyan; and Li, Xiaoman, "Chipmodule: Systematic Discovery Of Transcription Factors And Their Cofactors From Chip-Seq Data" (2013). Scopus Export 2010-2014. 7669.
https://stars.library.ucf.edu/scopus2010/7669