DIME
Differential Identification using Mixture Ensemble
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.0 |
rolling linux/jammy R-4.5 | DIME_1.3.0.tar.gz |
165.7 KiB |
1.3.0 |
rolling linux/noble R-4.5 | DIME_1.3.0.tar.gz |
165.7 KiB |
1.3.0 |
rolling source/ R- | DIME_1.3.0.tar.gz |
26.6 KiB |
1.3.0 |
latest linux/jammy R-4.5 | DIME_1.3.0.tar.gz |
165.7 KiB |
1.3.0 |
latest linux/noble R-4.5 | DIME_1.3.0.tar.gz |
165.7 KiB |
1.3.0 |
latest source/ R- | DIME_1.3.0.tar.gz |
26.6 KiB |
1.3.0 |
2026-04-26 source/ R- | DIME_1.3.0.tar.gz |
26.6 KiB |
1.3.0 |
2026-04-23 source/ R- | DIME_1.3.0.tar.gz |
26.6 KiB |
1.3.0 |
2026-04-09 windows/windows R-4.5 | DIME_1.3.0.zip |
172.0 KiB |
1.3.0 |
2025-04-20 source/ R- | DIME_1.3.0.tar.gz |
26.6 KiB |