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KMID : 0381120150370030305
Genes and Genomics
2015 Volume.37 No. 3 p.305 ~ p.311
An automated analysis pipeline for a large set of ChIP-seq data: AutoChIP
Kim Tae-Mook

Lee Woo-Seok
Han Kyu-Dong
Kang Keun-Soo
Abstract
Although there are many applications available for the analysis of chromatin immunoprecipitation with massively parallel DNA sequencing (ChIP-seq), users need some knowledge about the installation, alignment, and peak calling procedures prior to the analysis. Here, we present an easy-to-use application for ChIP-seq analysis called AutoChIP. With AutoChIP, installation of necessary programs, alignment of unmapped reads to a reference genome, and identification of genome-wide binding sites can be done in a single step with a large set of ChIP-seq data. Evaluation of the cocktail algorithm implemented in AutoChIP showed that it outperformed a single ChIP-seq tool in terms of the ratio of motif occurrences and the average height of normalized read density over the identified peaks. In addition, annotation of the identified peaks with the known gene and repeat elements information provides a comprehensive picture of the genome-wide binding sites of given proteins. Overall, AutoChIP provides a comprehensive platform to analyze a large set of ChIP-seq data in one step.
KEYWORD
AutoChIP, ChIP-seq, STAT5, GATA3, Next-generation sequencing, NGS
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