title: rMAT--an R/Bioconductor package for analyzing ChIP-chip experiments.
abstract: CONCLUSIONS
  Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) has evolved as a popular technique to study DNA-protein binding or post-translational chromatin/histone modifications at the genomic level. However, the raw microarray intensities generate a massive amount of data, creating a need for efficient analysis algorithms and statistical methods to identify enriched regions.
  
  
  RESULTS
  We present a fast, free and powerful, open source R package, rMAT, that allows the identification of regions enriched for transcription factor binding sites in ChIP-chip experiments on Affymetrix tiling arrays.
  
  
  BACKGROUND
  The R-package rMAT is available from the Bioconductor web site at http://bioconductor.org and runs on Linux, MAC OS and MS-Windows. rMAT is distributed under the terms of the Artistic Licence 2.0.
authors.affiliation: Institut de recherches cliniques de Montreal, 110, avenue des Pins Ouest, Montreal, QC H2W 1R7, Canada. arnaud.droit@ircm.qc.ca
authors.forename: Arnaud
authors.initials: A
authors.lastname: Droit
authors.forename: Charles
authors.initials: C
authors.lastname: Cheung
authors.forename: Raphael
authors.initials: R
authors.lastname: Gottardo
mesh_terms: D001665:Binding Sites; D047369:Chromatin Immunoprecipitation / Q000379:methods*; D030541:Databases, Genetic; D016678:Genome; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software; D014157:Transcription Factors / Q000737:chemistry
chemical_list: D014157:Transcription Factors