共 2 条
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 University
关键词:
D O I:
暂无
中图分类号:
Q503 [生物化学技术];
学科分类号:
071010 ;
081704 ;
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.
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页码:54 / 70
页数:17
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