To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("LowMACA")
In most cases, you don't need to download the package archive at all.
This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see LowMACA.
Bioconductor version: 3.2
The LowMACA package is a simple suite of tools to investigate and analyze the mutation profile of several proteins or pfam domains via consensus alignment. You can conduct an hypothesis driven exploratory analysis using our package simply providing a set of genes or pfam domains of your interest.
Author: Stefano de Pretis , Giorgio Melloni
Maintainer: Stefano de Pretis <ste.depo at gmail.com>, Giorgio Melloni <melloni.giorgio at gmail.com>
Citation (from within R,
enter citation("LowMACA")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("LowMACA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("LowMACA")
Follow Installation instructions to use this package in your R session.
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