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Dataset Information

TICA: Transcriptional Interaction and Coregulation Analyzer.


ABSTRACT: Transcriptional regulation is critical to cellular processes of all organisms. Regulatory mechanisms often involve more than one transcription factor (TF) from different families, binding together and attaching to the DNA as a single complex. However, only a fraction of the regulatory partners of each TF is currently known. In this paper, we present the Transcriptional Interaction and Coregulation Analyzer (TICA), a novel methodology for predicting heterotypic physical interaction of TFs. TICA employs a data-driven approach to infer interaction phenomena from chromatin immunoprecipitation and sequencing (ChIP-seq) data. Its prediction rules are based on the distribution of minimal distance couples of paired binding sites belonging to different TFs which are located closest to each other in

SUBMITTER: Perna S 

PROVIDER: S-EPMC6364043 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature