Learn R Programming

CorMut (version 1.14.0)

Detect the correlated mutations based on selection pressure

Description

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.

Copy Link

Version

Version

1.14.0

License

GPL-2

Maintainer

Zhenpeng Li

Last Published

February 15th, 2017

Functions in CorMut (1.14.0)

JI-class

Class "JI"
biCkaksCodon-class

Class "biCkaksCodon", "biCkaksAA", "biMICodon" and "biMIAA"
MI-class

Class "MI"
ckaks-class

Class "ckaks"
ckaksCodon

Compute the conditional kaks(conditional selection pressure) among codons
ckaksAA

Compute the conditional kaks(conditional selection pressure) among amino mutations
kaksCodon

Compute kaks for individual codon
kaksCodon-class

Class "kaksCodon"
kaksAA

Compute kaks for individual amino mutation
kaksAA-class

Class "kaksAA"
jiAA

Compute the Jaccard index among individual amino mutations
miCodon

Compute the mutual information among codons
CorMut-package

Detect the correlated mutations based on selection pressure
biCompare-class

Class "biCompare"
biCompare-methods

biCompare implement biCompare methods for comparison of the correlated mutations between two conditions by the means of correlated mutation network
plot

Plot methods for CorMut package
miAA

Compute the mutual information among individual amino mutations
seqFormat-methods

Process the multiple sequence alignment files
filterSites-methods

filterSites methods