Computational methodology for ChIP-seq analysis

被引:0
|
作者
Hyunjin Shin [1 ]
Tao Liu [1 ]
Xikun Duan [2 ]
Yong Zhang [2 ]
XShirley Liu [1 ]
机构
[1] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute/Harvard School of Public Health
[2] Department of Bioinformatics, School of Life Science and Technology, Tongji
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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 modifed 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 workfows, 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 profling and genome-wide association studies,to provide a more comprehensive view of gene regulatory mechanisms in important physiological and pathological processes.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] A computational pipeline for comparative ChIP-seq analyses
    Anaïs F Bardet
    Qiye He
    Julia Zeitlinger
    Alexander Stark
    [J]. Nature Protocols, 2012, 7 : 45 - 61
  • [2] A computational pipeline for comparative ChIP-seq analyses
    Bardet, Anais F.
    He, Qiye
    Zeitlinger, Julia
    Stark, Alexander
    [J]. NATURE PROTOCOLS, 2012, 7 (01) : 45 - 61
  • [3] Analysis of Controls in ChIP-seq
    Awdeh, Aseel
    Perkins, Theodore J.
    [J]. ACM-BCB' 2017: PROCEEDINGS OF THE 8TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY,AND HEALTH INFORMATICS, 2017, : 620 - 620
  • [4] THE ANALYSIS OF CHIP-SEQ DATA
    Ma, Wenxiu
    Wong, Wing Hung
    [J]. METHODS IN ENZYMOLOGY, VOL 497: SYNTHETIC BIOLOGY, METHODS FOR PART/DEVICE CHARACTERIZATION AND CHASSIS ENGINEERING, PT A, 2011, 497 : 51 - 73
  • [5] A short survey of computational analysis methods in analysing ChIP-seq data
    Kim H.
    Kim J.
    Selby H.
    Gao D.
    Tong T.
    Phang T.L.
    Tan A.C.
    [J]. Human Genomics, 5 (2) : 117 - 123
  • [6] De novo ChIP-seq analysis
    Xin He
    A. Ercument Cicek
    Yuhao Wang
    Marcel H. Schulz
    Hai-Son Le
    Ziv Bar-Joseph
    [J]. Genome Biology, 16
  • [7] De novo ChIP-seq analysis
    He, Xin
    Cicek, A. Ercument
    Wang, Yuhao
    Schulz, Marcel H.
    Le, Hai-Son
    Bar-Joseph, Ziv
    [J]. GENOME BIOLOGY, 2015, 16
  • [8] ChIPseqR: analysis of ChIP-seq experiments
    Humburg, Peter
    Helliwell, Chris A.
    Bulger, David
    Stone, Glenn
    [J]. BMC BIOINFORMATICS, 2011, 12
  • [9] Python in ChIP-Seq data analysis
    Zhang, Li
    Hu, Yuansen
    Wang, Jinshui
    Zhang, Guangle
    [J]. Journal of Chemical and Pharmaceutical Research, 2014, 6 (03) : 1002 - 1007
  • [10] Genomic Location Analysis by ChIP-Seq
    Barski, Artem
    Zhao, Keji
    [J]. JOURNAL OF CELLULAR BIOCHEMISTRY, 2009, 107 (01) : 11 - 18