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- Title
DIME: R-package for identifying differential ChIP-seq based on an ensemble of mixture models.
- Authors
Taslim, Cenny; Huang, Tim; Lin, Shili
- Abstract
Differential Identification using Mixtures Ensemble (DIME) is a package for identification of biologically significant differential binding sites between two conditions using ChIP-seq data. It considers a collection of finite mixture models combined with a false discovery rate (FDR) criterion to find statistically significant regions. This leads to a more reliable assessment of differential binding sites based on a statistical approach. In addition to ChIP-seq, DIME is also applicable to data from other high-throughput platforms.
- Publication
Bioinformatics (Oxford, England), 2011, Vol 27, Issue 11, p1569
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btr165