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

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...

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Autor principal: Diaz-Uriarte, Ramon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946943/
https://www.ncbi.nlm.nih.gov/pubmed/28186227
http://dx.doi.org/10.1093/bioinformatics/btx077
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author Diaz-Uriarte, Ramon
author_facet Diaz-Uriarte, Ramon
author_sort Diaz-Uriarte, Ramon
collection PubMed
description 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.
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spelling pubmed-59469432018-05-15 OncoSimulR: genetic simulation with arbitrary epistasis and mutator genes in asexual populations Diaz-Uriarte, Ramon Bioinformatics Applications Notes 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. Oxford University Press 2017-06-15 2017-02-10 /pmc/articles/PMC5946943/ /pubmed/28186227 http://dx.doi.org/10.1093/bioinformatics/btx077 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Diaz-Uriarte, Ramon
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
title_full OncoSimulR: genetic simulation with arbitrary epistasis and mutator genes in asexual populations
title_fullStr OncoSimulR: genetic simulation with arbitrary epistasis and mutator genes in asexual populations
title_full_unstemmed OncoSimulR: genetic simulation with arbitrary epistasis and mutator genes in asexual populations
title_short OncoSimulR: genetic simulation with arbitrary epistasis and mutator genes in asexual populations
title_sort oncosimulr: genetic simulation with arbitrary epistasis and mutator genes in asexual populations
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946943/
https://www.ncbi.nlm.nih.gov/pubmed/28186227
http://dx.doi.org/10.1093/bioinformatics/btx077
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