TitanCNA: Subclonal copy number and LOH prediction from whole genome sequencing of tumours
Version 1.16.0

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

Package details

AuthorGavin Ha, Sohrab P Shah
Bioconductor views CopyNumberVariation DNASeq ExomeSeq Genetics GenomicVariation HiddenMarkovModel Sequencing StatisticalMethod WholeGenome
MaintainerGavin Ha <[email protected]>, Sohrab P Shah <[email protected]>
LicenseGPL-3
Version1.16.0
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 Nov. 17, 2017, 11:20 a.m.