General Information
| Description | A computational method to simulate evolutionary branching trees for analysis of tumor clonal evolution |
| Homepage | https://github.com/olliemcdonald/siapopr |
Publications
SIApopr: a computational method to simulate evolutionary branching trees for analysis of tumor clonal evolution
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
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