To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("HiTC")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: Release (3.3)
The HiTC package was developed to explore high-throughput 'C' data such as 5C or Hi-C. Dedicated R classes as well as standard methods for quality controls, normalization, visualization, and further analysis are also provided.
Author: Nicolas Servant
Maintainer: Nicolas Servant <nicolas.servant at curie.fr>
Citation (from within R,
enter citation("HiTC")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("HiTC")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HiTC")
R Script | Hi-C data analysis using HiTC | |
R Script | Introduction to HiTC package | |
Reference Manual | ||
Text | NEWS |
biocViews | HiC, HighThroughputSequencing, Sequencing, Software |
Version | 1.16.0 |
In Bioconductor since | BioC 2.10 (R-2.15) (4.5 years) |
License | Artistic-2.0 |
Depends | R (>= 2.15.0), methods, IRanges, GenomicRanges |
Imports | Biostrings, graphics, grDevices, rtracklayer, RColorBrewer, Matrix, parallel, GenomeInfoDb |
LinkingTo | |
Suggests | BiocStyle, HiCDataHumanIMR90 |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | HiCDataHumanIMR90 |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | HiTC_1.16.0.tar.gz |
Windows Binary | HiTC_1.16.0.zip |
Mac OS X 10.9 (Mavericks) | HiTC_1.16.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/HiTC/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/HiTC/ |
Package Downloads Report | Download Stats |
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