Introduction | Agilent and Affymetrix ChIP-chip Data | Example1 — Analyzing the Agilent Promoter Array Data | Example2 — Analyzing the Affymetrix Tiling Array Data | Tips | Parallel Computaton | Citing iChip
Package: iChip 1.67.0
Qianxing Mo
iChip: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Hidden Ising models are implemented to identify enriched genomic regions in ChIP-chip data. They can be used to analyze the data from multiple platforms (e.g., Affymetrix, Agilent, and NimbleGen), and the data with single to multiple replicates.
Authors:
iChip_1.67.0.tar.gz
iChip_1.67.0.zip(r-4.7)iChip_1.67.0.zip(r-4.6)iChip_1.67.0.zip(r-4.5)
iChip_1.67.0.tgz(r-4.6-x86_64)iChip_1.67.0.tgz(r-4.6-arm64)iChip_1.67.0.tgz(r-4.5-x86_64)iChip_1.67.0.tgz(r-4.5-arm64)
iChip_1.67.0.tar.gz(r-4.7-arm64)iChip_1.67.0.tar.gz(r-4.7-x86_64)iChip_1.67.0.tar.gz(r-4.6-arm64)iChip_1.67.0.tar.gz(r-4.6-x86_64)
iChip_1.67.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
iChip/json (API)
| # Install 'iChip' in R: |
| install.packages('iChip', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:iChip-1.67.0(bioc 3.24)iChip-1.66.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
chipchiponechannelagilentchipmicroarray
Last updated from:1643a81cbe. Checks:1 ERROR, 13 OK. Indexed: yes.
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| bioc-checks | ERROR | 126 | ||
| linux-devel-arm64 | OK | 143 | ||
| linux-devel-x86_64 | OK | 132 | ||
| source / vignettes | OK | 176 | ||
| linux-release-arm64 | OK | 123 | ||
| linux-release-x86_64 | OK | 138 | ||
| macos-release-arm64 | OK | 89 | ||
| macos-release-x86_64 | OK | 190 | ||
| macos-oldrel-arm64 | OK | 86 | ||
| macos-oldrel-x86_64 | OK | 167 | ||
| windows-devel | OK | 81 | ||
| windows-release | OK | 78 | ||
| windows-oldrel | OK | 82 | ||
| wasm-release | OK | 93 |
