Genome-wide prediction of transcription factor binding sites using an integrated model

We present an integrated method called Chromia for the genome-wide identification of functional target loci of transcription factors. Designed to capture the characteristic patterns of transcription factor binding motif occurrences and the histone profiles associated with regulatory elements such as promoters and enhancers, Chromia significantly outperforms other methods in the identification of 13 transcription factor binding sites in mouse embryonic stem cells, evaluated by both binding (ChIP-seq) and functional (RNA interference knockdown) experiments.

• Publication year

  2010

• Venue

  Genome Biology

• Publication date

  2010-01-22

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1186/gb-2010-11-1-r7PMID 20096096PMCID 2847719
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• UC San Diego UC San Diego Previously Published Works Title Genome-wide prediction of transcription factor binding sites using an integrated model

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