title: MeQA: a pipeline for MeDIP-seq data quality assessment and analysis.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  The package and extensive documentation, and comparison to public data is available at http://life.tongji.edu.cn/meqa/.
authors.affiliation: School of life science, Tongji University, 200092 Shanghai, China. jhuang@cephb.fr
authors.forename: J
authors.initials: J
authors.lastname: Huang
authors.forename: V
authors.initials: V
authors.lastname: Renault
authors.forename: J
authors.initials: J
authors.lastname: Sengenès
authors.forename: N
authors.initials: N
authors.lastname: Touleimat
authors.forename: S
authors.initials: S
authors.lastname: Michel
authors.forename: M
authors.initials: M
authors.lastname: Lathrop
authors.forename: J
authors.initials: J
authors.lastname: Tost
mesh_terms: D019175:DNA Methylation; D006801:Humans; D047468:Immunoprecipitation; D012107:Research Design; D012984:Software