iChip
This is the development version of iChip; for the stable release version, see iChip.
Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Bioconductor version: Development (3.24)
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.
Author: Qianxing Mo
Maintainer: Qianxing Mo <qianxing.mo at moffitt.org>
citation("iChip")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("iChip")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iChip")| iChip | R Script | |
| Reference Manual |
Details
| biocViews | AgilentChip, ChIPchip, Microarray, OneChannel, Software |
| Version | 1.67.0 |
| In Bioconductor since | BioC 2.6 (R-2.11) (16.5 years) |
| License | GPL (>= 2) |
| Depends | R (>= 2.10.0) |
| Imports | limma |
| System Requirements | |
| URL |
See More
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| Linking To | |
| Enhances | |
| Depends On Me | |
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| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | iChip_1.67.0.tar.gz |
| Windows Binary (x86_64) | iChip_1.67.0.zip |
| macOS Binary (big-sur-x86_64) | iChip_1.67.0.tgz |
| macOS Binary (sonoma-arm64) | iChip_1.67.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/iChip |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/iChip |
| Bioc Package Browser | https://code.bioconductor.org/browse/iChip/ |
| Package Short Url | https://bioconductor.org/packages/iChip/ |
| Package Downloads Report | Download Stats |