Detecting clustering and ordering binding patterns among transcription factors via point process models | Zendy

Maria Cha | Zendy; Qing Zhou | Zendy

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Detecting clustering and ordering binding patterns among transcription factors via point process models

Author(s) -

Maria Cha,

Qing Zhou

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu303

Subject(s) - cluster analysis , computational biology , transcription factor , computer science , biology , data mining , dna binding site , gene , genetics , gene expression , artificial intelligence , promoter

Recent development in ChIP-Seq technology has generated binding data for many transcription factors (TFs) in various cell types and cellular conditions. This opens great opportunities for studying combinatorial binding patterns among a set of TFs active in a particular cellular condition, which is a key component for understanding the interaction between TFs in gene regulation.

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