使用MOSAiCS对ChIP-seq数据进行统计分析。
Statistical analysis of ChIP-seq data with MOSAiCS.
作者信息
Sun Guannan, Chung Dongjun, Liang Kun, Keleş Sündüz
机构信息
Department of Statistics, University of Wisconsin, Madison, WI, USA.
出版信息
Methods Mol Biol. 2013;1038:193-212. doi: 10.1007/978-1-62703-514-9_12.
Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) is invaluable for identifying genome-wide binding of transcription factors and mapping of epigenomic profiles. We present a statistical protocol for analyzing ChIP-seq data. We describe guidelines for data preprocessing and quality control and provide detailed examples of identifying ChIP-enriched regions using the Bioconductor package "mosaics."
染色质免疫沉淀结合高通量测序（ChIP-seq）对于识别全基因组范围内转录因子的结合以及绘制表观基因组图谱非常有价值。我们提出了一种用于分析ChIP-seq数据的统计方案。我们描述了数据预处理和质量控制的指南，并提供了使用Bioconductor软件包“mosaics”识别ChIP富集区域的详细示例。
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