Gao Shan, Zhang Ning, Li Bo, Xu Shuo, Ye Yan-Bo, Ruan Ji-Shou
College of Mathematics, Nankai University, Tianjin 300071, China.
Yi Chuan. 2012 Jun;34(6):773-83. doi: 10.3724/sp.j.1005.2012.00773.
The next-generation sequencing coupled with chromatin immunoprecipitation (ChIP-seq) is becoming a key technology for the study of transcriptional regulation in the context of functional genomics. Due to the overwhelming amount of data generated from ChIP-seq experiments, the ChIP-seq data processing brings many new challenges in the field of bioinformatics. Considering the development of data processing skills largely behind that of the ChIP-seq experiment techniques, it is urgent to give a review on the ChIP-seq data processing for more and more oncoming researchers to build or improve algorithms. This paper provides a brief overview of the ChIP-seq data processing, highlighting the main prob-lems and methods in detail, to allow scientists to understand rapidly and deeply.
下一代测序技术与染色质免疫沉淀技术(ChIP-seq)相结合,正成为功能基因组学背景下转录调控研究的关键技术。由于ChIP-seq实验产生的数据量巨大,ChIP-seq数据处理给生物信息学领域带来了许多新挑战。考虑到数据处理技术的发展在很大程度上落后于ChIP-seq实验技术,迫切需要对ChIP-seq数据处理进行综述,以便越来越多即将投身该领域的研究人员构建或改进算法。本文简要概述了ChIP-seq数据处理,详细阐述了主要问题和方法,以使科学家能够快速深入地理解。