This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see iSeq.
Bioconductor version: 3.13
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.
Author: Qianxing Mo
Maintainer: Qianxing Mo <qianxing.mo at moffitt.org>
Citation (from within R,
enter citation("iSeq")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("iSeq")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iSeq")
R Script | iSeq | |
Reference Manual | ||
Text | NEWS |
biocViews | ChIPSeq, Sequencing, Software |
Version | 1.44.0 |
In Bioconductor since | BioC 2.7 (R-2.12) (11 years) |
License | GPL (>= 2) |
Depends | R (>= 2.10.0) |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | iSeq_1.44.0.tar.gz |
Windows Binary | iSeq_1.44.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | iSeq_1.44.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/iSeq |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/iSeq |
Package Short Url | https://bioconductor.org/packages/iSeq/ |
Package Downloads Report | Download Stats |
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