Cistrome-GO: a web server for functional enrichment analysis of transcription factor ChIP-seq peaks
Author(s) -
Shaojuan Li,
Changxin Wan,
Rongbin Zheng,
Jingyu Fan,
Xin Dong,
Clifford A. Meyer,
X. Shirley Liu
Publication year - 2019
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkz332
Subject(s) - biology , transcription factor , computational biology , gene , genetics , bioinformatics
Characterizing the ontologies of genes directly regulated by a transcription factor (TF), can help to elucidate the TF's biological role. Previously, we developed a widely used method, BETA, to integrate TF ChIP-seq peaks with differential gene expression (DGE) data to infer direct target genes. Here, we provide Cistrome-GO, a website implementation of this method with enhanced features to conduct ontology analyses of gene regulation by TFs in human and mouse. Cistrome-GO has two working modes: solo mode for ChIP-seq peak analysis; and ensemble mode, which integrates ChIP-seq peaks with DGE data. Cistrome-GO is freely available at http://go.cistrome.org/.
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