Cistrome-GO: a web server for functional enrichment analysis of transcription factor ChIP-seq peaks

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...

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Bibliographic Details
Published in:Nucleic acids research 2019-07, Vol.47 (W1), p.W206-W211
Main Authors: Li, Shaojuan, Wan, Changxin, Zheng, Rongbin, Fan, Jingyu, Dong, Xin, Meyer, Clifford A, Liu, X Shirley
Format: Article
Language:English
Subjects:
Animals
Chromatin Immunoprecipitation Sequencing - methods
Computational Biology - methods
Databases, Genetic
Gene Expression Regulation
Humans
Mice
Software
Transcription Factors - physiology
Web Server Issue
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Summary: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/.
ISSN:0305-1048
1362-4962
DOI:10.1093/nar/gkz332