| Literature DB >> 20204875 |
Ulrike Göbel1, Julia Reimer, Franziska Turck.
Abstract
Genome-wide targets of chromatin-associated factors can be identified by a combination of chromatin-immunoprecipitation and oligonucleotide microarray hybridization. Genome-wide mircoarray data analysis represents a major challenge for the experimental biologist. This chapter introduces ChIPR, a package written in the R statistical programming language that facilitates the analysis of two-color microarrays from Roche-Nimblegen. The workflow of ChIPR is illustrated with sample data from Arabidopsis thaliana. However, ChIPR supports ChIP-chip data preprocessing, target identification, and cross-annotation of any species for which genome annotation data is available in GFF format. This chapter describes how to use ChIPR as a software tool without the requirement for programming skills in the R language.Entities:
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Year: 2010 PMID: 20204875 DOI: 10.1007/978-1-60761-646-7_13
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745