To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("diffHic")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see diffHic.
Bioconductor version: 3.4
Detects differential interactions across biological conditions in a Hi-C experiment. Methods are provided for read alignment and data pre-processing into interaction counts. Statistical analysis is based on edgeR and supports normalization and filtering. Several visualization options are also available.
Author: Aaron Lun <alun at wehi.edu.au>
Maintainer: Aaron Lun <alun at wehi.edu.au>
Citation (from within R,
enter citation("diffHic")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("diffHic")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("diffHic")
Follow Installation instructions to use this package in your R session.
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