This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see BiSeq.
Bioconductor version: 3.7
The BiSeq package provides useful classes and functions to handle and analyze targeted bisulfite sequencing (BS) data such as reduced-representation bisulfite sequencing (RRBS) data. In particular, it implements an algorithm to detect differentially methylated regions (DMRs). The package takes already aligned BS data from one or multiple samples.
Author: Katja Hebestreit, Hans-Ulrich Klein
Maintainer: Katja Hebestreit <katjah at stanford.edu>
Citation (from within R,
enter citation("BiSeq")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("BiSeq")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BiSeq")
R Script | An Introduction to BiSeq | |
Reference Manual |
biocViews | DNAMethylation, Genetics, MethylSeq, Sequencing, Software |
Version | 1.20.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (5.5 years) |
License | LGPL-3 |
Depends | R (>= 2.15.2), methods, S4Vectors, IRanges(>= 1.17.24), GenomicRanges, SummarizedExperiment(>= 0.2.0), Formula |
Imports | methods, BiocGenerics, Biobase, S4Vectors, IRanges, GenomeInfoDb, GenomicRanges, SummarizedExperiment, rtracklayer, parallel, betareg, lokern, Formula, globaltest |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | RRBSdata |
Imports Me | M3D |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | BiSeq_1.20.0.tar.gz |
Windows Binary | BiSeq_1.20.0.zip |
Mac OS X 10.11 (El Capitan) | BiSeq_1.20.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/BiSeq |
Source Repository (Developer Access) | git clone [email protected]:packages/BiSeq |
Package Short Url | http://bioconductor.org/packages/BiSeq/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: