Abstract
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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CITATION STYLE
Li, S., Wan, C., Zheng, R., Fan, J., Dong, X., Meyer, C. A., & Liu, X. S. (2019). Cistrome-GO: A web server for functional enrichment analysis of transcription factor ChIP-seq peaks. Nucleic Acids Research, 47(W1), W206–W211. https://doi.org/10.1093/nar/gkz332
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