Learn R Programming

ClusteredMutations (version 1.0.2)

Location and Visualization of Clustered Somatic Mutations

Description

Identification and visualization of groups of closely spaced mutations in the DNA sequence of cancer genome. The extremely mutated zones are searched in the symmetric dissimilarity matrix using the anti-Robinson matrix properties. Different data sets are obtained to describe and plot the clustered mutations information.

Copy Link

Version

Install

install.packages('ClusteredMutations')

Monthly Downloads

154

Version

1.0.2

License

GPL-3

Maintainer

David Lora

Last Published

December 9th, 2025

Functions in ClusteredMutations (1.0.2)

PD4107a

Somatic mutations data set from a primary breast cancer genome.
dissmutmatrix

Symmetric dissimilarity mutation matrix.
showers

Location of clustered mutations in the cancer genome.
features

Describe the features of mutation in the hyper-mutated zones.
imd

Calculate of the inter-mutational distance (IMD).