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rMAT - an R/Bioconductor package for analyzing ChIP-chip experiments
Author(s) -
Arnaud Droit,
Charles Cheung,
Raphaël Gottardo
Publication year - 2010
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/btq023
Subject(s) - bioconductor , tiling array , chromatin immunoprecipitation , dna microarray , computer science , chip , mac os , r package , chip on chip , histone , computational biology , chromatin , chip sequencing , dna , biology , software , genetics , computational science , gene , operating system , nucleosome , gene expression , promoter , telecommunications
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.

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