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使用starr和R/Bioconductor分析Affymetrix芯片免疫沉淀数据。

Analysis of Affymetrix ChIP-chip data using starr and R/Bioconductor.

作者信息

Zacher Benedikt, Torkler Phillipp, Tresch Achim

机构信息

Department of Biochemistry, Center for Integrated Protein Sciences and Munich Center for Advanced Photonics at the Gene Center, Ludwig-Maximilians-University Munich, Munich, Germany.

出版信息

Cold Spring Harb Protoc. 2011 May 1;2011(5):pdb.top110. doi: 10.1101/pdb.top110.

Abstract

This article provides a flexible workflow for the analysis of chromatin immunoprecipitation data (ChIP-chip) that covers issues from quality control, probe sequence remapping, data preprocessing/normalization, visualization, and high-level analysis like peak finding. It emphasizes the peculiarities of single-color Affymetrix arrays, but it is flexible enough to be also amenable to other array platforms. The article is accompanied by extensive code implementing each of the analysis steps.

摘要

本文提供了一种灵活的染色质免疫沉淀数据(ChIP-chip)分析工作流程,涵盖了从质量控制、探针序列重新映射、数据预处理/归一化、可视化到高级分析(如峰值查找)等问题。它强调了单色Affymetrix阵列的特殊性,但也足够灵活,适用于其他阵列平台。本文还附带了实现每个分析步骤的大量代码。

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