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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>.

Type Size Name Uploaded Downloads Labels
conda 180.8 kB | linux-64/r-dime-1.3.0-r43h76d94ec_0.tar.bz2  1 year and 1 month ago 22 main
conda 181.4 kB | linux-64/r-dime-1.3.0-r42h76d94ec_0.tar.bz2  2 years and 7 months ago 53 main
conda 199.0 kB | win-64/r-dime-1.2-r36hda5aaf8_0.tar.bz2  4 years and 11 months ago 69 main
conda 183.6 kB | osx-64/r-dime-1.2-r36h46e59ec_0.tar.bz2  4 years and 11 months ago 16 main
conda 180.3 kB | linux-64/r-dime-1.2-r36h96ca727_0.tar.bz2  4 years and 11 months ago 59 main

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