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Detalle de: OncoSimulR: genetic simulation with arbitrary epistasis and mutator genes in asexual populations

Title OncoSimulR: genetic simulation with arbitrary epistasis and mutator genes in asexual populations
Abstract

Summary OncoSimulR implements forward-time genetic simulations of biallelic loci in asexual populations with special focus on cancer progression. Fitness can be defined as an arbitrary function of genetic interactions between multiple genes or modules of genes, including epistasis, restrictions in the order of accumulation of mutations, and order effects. Mutation rates can differ among genes, and can be affected by (anti)mutator genes. Also available are sampling from simulations (including single-cell sampling), plotting the genealogical relationships of clones and generating and plotting fitness landscapes. Availability and Implementation Implemented in R and C ++, freely available from BioConductor for Linux, Mac and Windows under the GNU GPL license. Version 2.5.9 or higher available from: http://www.bioconductor.org/packages/devel/bioc/html/OncoSimulR.html. GitHub repository at: https://github.com/rdiaz02/OncoSimul Supplementary information Supplementary data are available at Bioinformatics online.

Apa Reference Diaz-Uriarte, R. (2017). OncoSimulR: genetic simulation with arbitrary epistasis and mutator genes in asexual populations. Bioinformatics, 33(12), 1898–1899. 10.1093/bioinformatics/btx077
Doi 10.1093/bioinformatics/btx077
Publication Date 10 Feb 2017
Publication Type Article
Researcher Ramon Díaz Uriarte
Ontology Analysis packages (R, Python, etc.), Computational models and simulations, Evolutionary modelling, Evolutionary rates, Single-cell omics
Research Groups Bioinformatics and Computational Biology in Cancer Evolution
Tools

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