Tissue-specific prediction of directly regulated genes | Zendy

Robert C. McLeay | Zendy; Chris J. Leat | Zendy; Timothy L. Bailey | Zendy

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Tissue-specific prediction of directly regulated genes

Author(s) -

Robert C. McLeay,

Chris J. Leat,

Timothy L. Bailey

Publication year - 2011

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/btr399

Subject(s) - h3k4me3 , promoter , histone , bayes' theorem , computational biology , biology , gene , genetics , computer science , gene expression , bayesian probability , artificial intelligence

Direct binding by a transcription factor (TF) to the proximal promoter of a gene is a strong evidence that the TF regulates the gene. Assaying the genome-wide binding of every TF in every cell type and condition is currently impractical. Histone modifications correlate with tissue/cell/condition-specific ('tissue specific') TF binding, so histone ChIP-seq data can be combined with traditional position weight matrix (PWM) methods to make tissue-specific predictions of TF-promoter interactions.

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