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A New Exhaustive Method and Strategy for Finding Motifs in ChIP-Enriched Regions

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  • Caiyan Jia
  • Matthew B Carson
  • Yang Wang
  • Youfang Lin
  • Hui Lu

Abstract

ChIP-seq, which combines chromatin immunoprecipitation (ChIP) with next-generation parallel sequencing, allows for the genome-wide identification of protein-DNA interactions. This technology poses new challenges for the development of novel motif-finding algorithms and methods for determining exact protein-DNA binding sites from ChIP-enriched sequencing data. State-of-the-art heuristic, exhaustive search algorithms have limited application for the identification of short (, ) motifs (, ) contained in ChIP-enriched regions. In this work we have developed a more powerful exhaustive method (FMotif) for finding long (, ) motifs in DNA sequences. In conjunction with our method, we have adopted a simple ChIP-enriched sampling strategy for finding these motifs in large-scale ChIP-enriched regions. Empirical studies on synthetic samples and applications using several ChIP data sets including 16 TF (transcription factor) ChIP-seq data sets and five TF ChIP-exo data sets have demonstrated that our proposed method is capable of finding these motifs with high efficiency and accuracy. The source code for FMotif is available at http://211.71.76.45/FMotif/.

Suggested Citation

  • Caiyan Jia & Matthew B Carson & Yang Wang & Youfang Lin & Hui Lu, 2014. "A New Exhaustive Method and Strategy for Finding Motifs in ChIP-Enriched Regions," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-13, January.
    • Handle: RePEc:plo:pone00:0086044
    DOI: 10.1371/journal.pone.0086044
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    References listed on IDEAS

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    1. Elizabeth G Wilbanks & Marc T Facciotti, 2010. "Evaluation of Algorithm Performance in ChIP-Seq Peak Detection," PLOS ONE, Public Library of Science, vol. 5(7), pages 1-12, July.
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