Introduction | The NRSF ChIP-seq Data | Example — Analyze the NRSF Data | Tips | Parallel Computation and R script for running iSeq not interactively | Citing iSeq
Package: iSeq 1.65.0
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_1.65.0.tar.gz
iSeq_1.65.0.zip(r-4.7)iSeq_1.65.0.zip(r-4.6)iSeq_1.65.0.zip(r-4.5)
iSeq_1.65.0.tgz(r-4.6-x86_64)iSeq_1.65.0.tgz(r-4.6-arm64)iSeq_1.65.0.tgz(r-4.5-x86_64)iSeq_1.65.0.tgz(r-4.5-arm64)
iSeq_1.65.0.tar.gz(r-4.7-arm64)iSeq_1.65.0.tar.gz(r-4.7-x86_64)iSeq_1.65.0.tar.gz(r-4.6-arm64)iSeq_1.65.0.tar.gz(r-4.6-x86_64)
iSeq_1.65.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
iSeq/json (API)
| # Install 'iSeq' in R: |
| install.packages('iSeq', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- 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:d938ef29a6. Checks:1 ERROR, 13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 140 | ||
| linux-devel-arm64 | OK | 142 | ||
| linux-devel-x86_64 | OK | 132 | ||
| source / vignettes | OK | 134 | ||
| linux-release-arm64 | OK | 134 | ||
| linux-release-x86_64 | OK | 128 | ||
| macos-release-arm64 | OK | 81 | ||
| macos-release-x86_64 | OK | 216 | ||
| macos-oldrel-arm64 | OK | 79 | ||
| macos-oldrel-x86_64 | OK | 199 | ||
| windows-devel | OK | 76 | ||
| windows-release | OK | 93 | ||
| windows-oldrel | OK | 96 | ||
| wasm-release | OK | 88 |
Exports:iSeq1iSeq2mergetagpeakregplotreg
Dependencies:
