TitanCNA: Subclonal copy number and LOH prediction from whole genome sequencing of tumours

Hidden Markov model to segment and predict regions of subclonal copy number alterations (CNA) and loss of heterozygosity (LOH), and estimate cellular prevalence of clonal clusters in tumour whole genome sequencing data.

Package details

AuthorGavin Ha
Bioconductor views CopyNumberVariation DNASeq ExomeSeq Genetics GenomicVariation HiddenMarkovModel ImmunoOncology Sequencing StatisticalMethod WholeGenome
MaintainerGavin Ha <[email protected]>
LicenseGPL-3
Version1.24.0
URL https://github.com/gavinha/TitanCNA
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("TitanCNA")

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TitanCNA documentation built on Oct. 31, 2019, 8:37 a.m.