To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("TitanCNA")

In most cases, you don't need to download the package archive at all.

TitanCNA

Subclonal copy number and LOH prediction whole genome sequencing of tumours

Bioconductor version: Release (2.14)

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.

Author: Gavin Ha, Sohrab P Shah

Maintainer: Gavin Ha <gavinha at gmail.com>, Sohrab P Shah <sshah at bccrc.ca>

Citation (from within R, enter citation("TitanCNA")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("TitanCNA")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("TitanCNA")

 

PDF R Script TitanCNA
PDF   Reference Manual
Text   LICENSE

Details

biocViews CopyNumberVariation, DNASeq, ExomeSeq, Genetics, GenomicVariation, HiddenMarkovModel, Sequencing, Software, StatisticalMethod, WholeGenome
Version 1.0.0
In Bioconductor since BioC 2.14 (R-3.1)
License file LICENSE
Depends R (>= 3.0.1), foreach (>= 1.4.0), HMMcopy(>= 1.2.0)
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source TitanCNA_1.0.0.tar.gz
Windows Binary TitanCNA_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) TitanCNA_1.0.0.tgz
Mac OS X 10.9 (Mavericks) TitanCNA_1.0.0.tgz
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