OncoSimulR

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Title OncoSimulR
Short Description BioConductor package for Forward Genetic Simulation of Cancer Progresion with Epistasis
Long Description An R/BioConductor package that provides functions for forward population genetic simulation in asexual populations, with special focus on cancer progression. Fitness can be an arbitrary function of genetic interactions between multiple genes or modules of genes, including epistasis, order restrictions in mutation accumulation, and order effects. Mutation rates can differ between genes, and we can include mutator/antimutator genes (to model mutator phenotypes). Simulations use continuous-time models and can include driver and passenger genes and modules. Also included are functions for simulating random DAGs of the type found in Oncogenetic Trees, Conjunctive Bayesian Networks, and other cancer progression models; plotting and sampling from single or multiple realizations of the simulations, including single-cell sampling; plotting the parent-child relationships of the clones; generating random fitness landscapes (Rough Mount Fuji, House of Cards, and additive models) and plotting them.
Keywords cancer, mutation, simulation, evolution, mutator, epistasis, fitness landscape, cancer progression models
Version 2.13.1
Project Started 2015
Last Release 4 months, 1 week ago
Homepagehttps://github.com/rdiaz02/OncoSimul
Citations Diaz-Uriarte R, OncoSimulR: genetic simulation with arbitrary epistasis and mutator genes in asexual populations., Bioinformatics, June 15, 2017 [Abstract, cited in PMC ]
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