gavinha/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.
Getting started
Browse package contents
Package details |
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| Author | Gavin Ha |
| Bioconductor views | CopyNumberVariation DNASeq ExomeSeq Genetics GenomicVariation HiddenMarkovModel ImmunoOncology Sequencing StatisticalMethod WholeGenome |
| Maintainer | Gavin Ha <gha@fredhutch.org> |
| License | GPL-3 |
| Version | 1.23.1 |
| URL | https://github.com/gavinha/TitanCNA |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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