Journal Article

Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores

Jasmina Bogojeska, Adrian Alexa, André Altmann, Thomas Lengauer and Jörg Rahnenführer

in Bioinformatics

Volume 24, issue 20, pages 2391-2392
Published in print October 2008 | ISSN: 1367-4803
Published online August 2008 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btn410

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Summary: In genetics, many evolutionary pathways can be modeled by the ordered accumulation of permanent changes. Mixture models of mutagenetic trees have been used to describe disease progression in cancer and in HIV. In cancer, progression is modeled by the accumulation of chromosomal gains and losses in tumor cells; in HIV, the accumulation of drug resistance-associated mutations in the viral genome is known to be associated with disease progression. From such evolutionary models, genetic progression scores can be derived that assign measures for the disease state to single patients. Rtreemix is an R package for estimating mixture models of evolutionary pathways from observed cross-sectional data and for estimating associated genetic progression scores. The package also provides extended functionality for estimating confidence intervals for estimated model parameters and for evaluating the stability of the estimated evolutionary mixture models.

Availability: Rtreemix is an R package that is freely available from the Bioconductor project at http://www.bioconductor.org and runs on Linux and Windows.

Contact: jasmina@mpi-inf.mpg.de

Journal Article.  1141 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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