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Computational methodology for ChIP-seq analysis

  • Hyunjin Shin
  • , Tao Liu
  • , Xikun Duan
  • , Yong Zhang
  • , X. Shirley Liu
  • Harvard University
  • Tongji University

Research output: Contribution to journalReview articlepeer-review

24 Scopus citations

Abstract

Chromatin immunoprecipitation coupled with massive parallel sequencing (ChIP-seq) is a powerful technology to identify the genome-wide locations of DNA binding proteins such as transcription factors or modified histones. As more and more experimental laboratories are adopting ChIP-seq to unravel the transcriptional and epigenetic regulatory mechanisms, computational analyses of ChIP-seq also become increasingly comprehensive and sophisticated. In this article, we review current computational methodology for ChIP-seq analysis, recommend useful algorithms and workflows, and introduce quality control measures at different analytical steps. We also discuss how ChIP-seq could be integrated with other types of genomic assays, such as gene expression profiling and genome-wide association studies, to provide a more comprehensive view of gene regulatory mechanisms in important physiological and pathological processes.

Original languageEnglish
Pages (from-to)54-70
Number of pages17
JournalQuantitative Biology
Volume1
Issue number1
DOIs
StatePublished - Mar 1 2013

Keywords

  • Chromatin Signature
  • Histone Mark
  • Nucleosome Occupancy
  • Peak Calling
  • Target Gene Prediction

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