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ABSTRACT: Summary
SIApopr (Simulating Infinite-Allele populations) is an R package to simulate time-homogeneous and inhomogeneous stochastic branching processes under a very flexible set of assumptions using the speed of C ++. The software simulates clonal evolution with the emergence of driver and passenger mutations under the infinite-allele assumption. The software is an application of the Gillespie Stochastic Simulation Algorithm expanded to a large number of cell types and scenarios, with the intention of allowing users to easily modify existing models or create their own.Availability and implementation
SIApopr is available as an R library on Github ( https://github.com/olliemcdonald/siapopr ).Supplementary information
Supplementary data are available at Bioinformatics online.Contact
michor@jimmy.harvard.edu.
SUBMITTER: McDonald TO
PROVIDER: S-EPMC5870718 | biostudies-literature | 2017 Jul
REPOSITORIES: biostudies-literature
McDonald Thomas O TO Michor Franziska F
Bioinformatics (Oxford, England) 20170701 14
<h4>Summary</h4>SIApopr (Simulating Infinite-Allele populations) is an R package to simulate time-homogeneous and inhomogeneous stochastic branching processes under a very flexible set of assumptions using the speed of C ++. The software simulates clonal evolution with the emergence of driver and passenger mutations under the infinite-allele assumption. The software is an application of the Gillespie Stochastic Simulation Algorithm expanded to a large number of cell types and scenarios, with the ...[more]