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

Kyoung-Jae Won, Bing Ren, Wei Wang

82 Citations (Scopus)

Abstract

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 a 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 (RNAi knockdown) experiments.

Original languageEnglish
JournalGenome Biology
Volume11
Issue number1
Pages (from-to)R7
ISSN1474-7596
DOIs
Publication statusPublished - 22 Jan 2010

Keywords

  • Amino Acid Motifs
  • Animals
  • Binding Sites
  • Chromatin/metabolism
  • Chromatin Immunoprecipitation
  • Computational Biology/methods
  • Embryonic Stem Cells/cytology
  • Enhancer Elements, Genetic
  • Genome
  • Mice
  • Models, Genetic
  • Promoter Regions, Genetic
  • RNA Interference
  • ROC Curve
  • Transcription Factors/genetics

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