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

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

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.

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Package overview README.md TitanCNA

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Package details
AuthorGavin Ha
Bioconductor views CopyNumberVariation DNASeq ExomeSeq Genetics GenomicVariation HiddenMarkovModel ImmunoOncology Sequencing StatisticalMethod WholeGenome
MaintainerGavin Ha <gha@fredhutch.org>
LicenseGPL-3
Version1.28.0
URL https://github.com/gavinha/TitanCNA 
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R: 
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("TitanCNA")

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TitanCNA documentation built on Nov. 8, 2020, 8:14 p.m.

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