Package: iSeq 1.64.0
Qianxing Mo
iSeq: Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models
Bayesian hidden Ising models are implemented to identify IP-enriched genomic regions from ChIP-seq data. They can be used to analyze ChIP-seq data with and without controls and replicates.
Authors:
iSeq_1.64.0.tar.gz
iSeq_1.64.0.zip(r-4.7)iSeq_1.64.0.zip(r-4.6)iSeq_1.64.0.zip(r-4.5)
iSeq_1.64.0.tgz(r-4.6-x86_64)iSeq_1.64.0.tgz(r-4.6-arm64)iSeq_1.64.0.tgz(r-4.5-x86_64)iSeq_1.64.0.tgz(r-4.5-arm64)
iSeq_1.64.0.tar.gz(r-4.7-arm64)iSeq_1.64.0.tar.gz(r-4.7-x86_64)iSeq_1.64.0.tar.gz(r-4.6-arm64)iSeq_1.64.0.tar.gz(r-4.6-x86_64)
iSeq_1.64.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
iSeq/json (API)
NEWS
| # Install 'iSeq' in R: |
| install.packages('iSeq', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
- nrsf - Nrsf data
On BioConductor:iSeq-1.65.0(bioc 3.24)iSeq-1.64.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:54b71afd76 (on RELEASE_3_23). Checks:1 ERROR, 13 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 174 | ||
| linux-devel-arm64 | OK | 121 | ||
| linux-devel-x86_64 | OK | 136 | ||
| source / vignettes | OK | 203 | ||
| linux-release-arm64 | OK | 104 | ||
| linux-release-x86_64 | OK | 165 | ||
| macos-release-arm64 | OK | 92 | ||
| macos-release-x86_64 | OK | 158 | ||
| macos-oldrel-arm64 | OK | 88 | ||
| macos-oldrel-x86_64 | OK | 165 | ||
| windows-devel | OK | 92 | ||
| windows-release | OK | 92 | ||
| windows-oldrel | OK | 114 | ||
| wasm-release | OK | 111 |
Exports:iSeq1iSeq2mergetagpeakregplotreg
Dependencies:
