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A robust identification of differential binding sites method for analyzing ChIP-seq (Chromatin Immunoprecipitation Sequencing) comparing two samples that considers an ensemble of finite mixture models combined with a local false discovery rate (fdr) allowing for flexible modeling of data. Methods for Differential Identification using Mixture Ensemble (DIME) is described in: Taslim et al., (2011) <doi:10.1093/bioinformatics/btr165>.
| Version: | 1.3.0 |
| Published: | 2022-05-09 |
| Author: | Cenny Taslim, with contributions from Dustin Potter, Abbasali Khalili and Shili Lin. |
| Maintainer: | Cenny Taslim <taslim.2 at osu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | DIME results |
| Reference manual: | DIME.pdf |
| Package source: | DIME_1.3.0.tar.gz |
| Windows binaries: | r-devel: DIME_1.3.0.zip, r-release: DIME_1.3.0.zip, r-oldrel: DIME_1.3.0.zip |
| macOS binaries: | r-release (arm64): DIME_1.3.0.tgz, r-oldrel (arm64): DIME_1.3.0.tgz, r-release (x86_64): DIME_1.3.0.tgz, r-oldrel (x86_64): DIME_1.3.0.tgz |
| Old sources: | DIME archive |
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