CorMut

DOI: 10.18129/B9.bioc.CorMut    

Detect the correlated mutations based on selection pressure

Bioconductor version: Release (3.11)

CorMut provides functions for computing kaks for individual sites or specific amino acids and detecting correlated mutations among them. Three methods are provided for detecting correlated mutations ,including conditional selection pressure, mutual information and Jaccard index. The computation consists of two steps: First, the positive selection sites are detected; Second, the mutation correlations are computed among the positive selection sites. Note that the first step is optional. Meanwhile, CorMut facilitates the comparison of the correlated mutations between two conditions by the means of correlated mutation network. The reference sequence should be the first sequence of the sequence file, and does not allow the presence of gap.

Author: Zhenpeng Li

Maintainer: Zhenpeng Li<zpli21 at gmail.com>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CorMut")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CorMut")

 

PDF	R Script	CorMut
PDF		Reference Manual

Details

biocViews	Sequencing, Software
Version	1.29.0
In Bioconductor since	BioC 2.11 (R-2.15) (8 years)
License	GPL-2
Depends	methods, seqinr, igraph
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	CorMut_1.29.0.tar.gz
Windows Binary	CorMut_1.29.0.zip
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/CorMut
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/CorMut
Package Short Url	https://bioconductor.org/packages/CorMut/
Package Downloads Report	Download Stats