Bioconductor version: Release (3.16)
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 (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("HiTC")
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("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 | 1.42.0 |
In Bioconductor since | BioC 2.10 (R-2.15) (11 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, HiCDCPlus |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | HiTC_1.42.0.tar.gz |
Windows Binary | HiTC_1.42.0.zip (64-bit only) |
macOS Binary (x86_64) | HiTC_1.42.0.tgz |
macOS Binary (arm64) | HiTC_1.42.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/HiTC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/HiTC |
Bioc Package Browser | https://code.bioconductor.org/browse/HiTC/ |
Package Short Url | https://bioconductor.org/packages/HiTC/ |
Package Downloads Report | Download Stats |
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