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Updated: May 14, 2026

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing (ChIP-seq)
Published on: April 19, 2013
ChIPModule: systematic discovery of transcription factors and their cofactors from ChIP-seq data
Jun Ding1, Xiaohui Cai, Ying Wang
1Department of EECS, University of Central Florida, 4000 central Florida Blvd, Orlando, FL 32816, USA. jding@cs.ucf.edu
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.
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