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MeQA: a pipeline for MeDIP-seq data quality assessment and analysis
Author(s) -
Jinyan Huang,
Victor Renault,
Jennifer Sengenès,
Nizar Touleimat,
Sven Michel,
Mark Lathrop,
Jörg Tost
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr699
Subject(s) - computer science , pipeline (software) , data mining , quality (philosophy) , programming language , philosophy , epistemology
We present a pipeline for the pre-processing, quality assessment, read distribution and methylation estimation for methylated DNA immunoprecipitation (MeDIP)-sequence datasets. This is the first MeDIP-seq-specific analytic pipeline that starts at the output of the sequencers. This pipeline will reduce the data analysis load on staff and allows the easy and straightforward analysis of sequencing data for DNA methylation. The pipeline integrates customized scripting and several existing tools, which can deal with both paired and single end data.

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