Identification of transcription factor binding sites from ChIP-seq data at high resolution | Zendy

Anaïs F. Bardet | Zendy; Jonas Steinmann | Zendy; Sangeeta Bafna | Zendy; Juergen A. Knoblich | Zendy; Julia Zeitlinger | Zendy; Alexander Stark | Zendy

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Identification of transcription factor binding sites from ChIP-seq data at high resolution

Author(s) -

Anaïs F. Bardet,

Jonas Steinmann,

Sangeeta Bafna,

Juergen A. Knoblich,

Julia Zeitlinger,

Alexander Stark

Publication year - 2013

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/btt470

Subject(s) - chromatin immunoprecipitation , transcription factor , computational biology , leverage (statistics) , binding site , enhancer , dna binding site , biology , computer science , data mining , genetics , gene , machine learning , gene expression , promoter

Chromatin immunoprecipitation coupled to next-generation sequencing (ChIP-seq) is widely used to study the in vivo binding sites of transcription factors (TFs) and their regulatory targets. Recent improvements to ChIP-seq, such as increased resolution, promise deeper insights into transcriptional regulation, yet require novel computational tools to fully leverage their advantages.

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