Metaanalysis of ChIP-chip data.
作者： Julia Engelhorn , Franziska Turck
DOI: 10.1007/978-1-60761-646-7_14
关键词: Cluster analysis 、 Chromatin immunoprecipitation 、 Transcription (biology) 、 Histone 、 Computational biology 、 Genome 、 Model organism 、 Computer science 、 Gene 、 Tiling array
摘要: Genome-wide analysis of histone modifications via ChIP-chip (chromatin immunoprecipitation followed by whole genome tiling array hybridization) may generate lists up to several thousand potential target genes. In the case model organism Arabidopsis thaliana, databases are available alleviate further characterization and classification genomic data sets. The term metaanalysis has been coined for this type multidatabase comparison. chapter, we describe open source software web tools that perform transcriptional functional Sources transcription clustering subdivide genes according their expression pattern described. user is guided through all necessary steps, including download formatting. addition, Gene Ontology (GO) vocabulary methods uncover over- or underrepresented functions among introduced. Genomic targets H3K27me3 modification presented as a study demonstrate can novel were hidden in
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