To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Clomial")

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

Clomial

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see Clomial.

Infers clonal composition of a tumor

Bioconductor version: 3.4

Clomial fits binomial distributions to counts obtained from Next Gen Sequencing data of multiple samples of the same tumor. The trained parameters can be interpreted to infer the clonal structure of the tumor.

Author: Habil Zare and Alex Hu

Maintainer: Habil Zare <zare at txstate.edu>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Clomial")

Documentation

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

browseVignettes("Clomial")

 

PDF R Script A likelihood maximization approach to infer the clonal structure of a cancer using multiple tumor samples
PDF   Reference Manual
Text   NEWS

Details

biocViews Bayesian, Clustering, DNASeq, ExomeSeq, GeneticVariability, Genetics, MultipleComparison, Sequencing, Software, TargetedResequencing
Version 1.10.0
In Bioconductor since BioC 2.14 (R-3.1) (3 years)
License GPL (>= 2)
Depends R (>= 2.10), matrixStats
Imports methods, permute
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Package Archives

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

Package Source Clomial_1.10.0.tar.gz
Windows Binary Clomial_1.10.0.zip
Mac OS X 10.9 (Mavericks) Clomial_1.10.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/Clomial/tree/release-3.4
Package Short Url http://bioconductor.org/packages/Clomial/
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