Package: iSeq 1.59.0
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_1.59.0.tar.gz
iSeq_1.59.0.zip(r-4.5)iSeq_1.59.0.zip(r-4.4)iSeq_1.59.0.zip(r-4.3)
iSeq_1.59.0.tgz(r-4.4-x86_64)iSeq_1.59.0.tgz(r-4.4-arm64)iSeq_1.59.0.tgz(r-4.3-x86_64)iSeq_1.59.0.tgz(r-4.3-arm64)
iSeq_1.59.0.tar.gz(r-4.5-noble)iSeq_1.59.0.tar.gz(r-4.4-noble)
iSeq_1.59.0.tgz(r-4.4-emscripten)iSeq_1.59.0.tgz(r-4.3-emscripten)
iSeq.pdf |iSeq.html✨
iSeq/json (API)
NEWS
| # Install 'iSeq' in R: |
| install.packages('iSeq', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- nrsf - Nrsf data
On BioConductor:iSeq-1.59.0(bioc 3.21)iSeq-1.58.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:f08fc7eb0b. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 18 2024 |
| R-4.5-win-x86_64 | OK | Dec 18 2024 |
| R-4.5-linux-x86_64 | OK | Dec 18 2024 |
| R-4.4-win-x86_64 | OK | Dec 18 2024 |
| R-4.4-mac-x86_64 | OK | Dec 18 2024 |
| R-4.4-mac-aarch64 | OK | Dec 18 2024 |
| R-4.3-win-x86_64 | OK | Dec 18 2024 |
| R-4.3-mac-x86_64 | OK | Dec 18 2024 |
| R-4.3-mac-aarch64 | OK | Dec 18 2024 |
Exports:iSeq1iSeq2mergetagpeakregplotreg
Dependencies:
