Tools for simulating evolution of aligned genomic regions with integrated parameter estimation

Controlled simulations of genome evolution are useful for benchmarking tools. However, many simulators lack extensibility and cannot measure parameters directly from data. These issues are addressed by three new open-source programs: GSIMULATOR (for neutrally evolving DNA), SIMGRAM (for generic stru...

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Detalles Bibliográficos
Autores principales: Varadarajan, Avinash, Bradley, Robert K, Holmes, Ian H
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2760874/
https://www.ncbi.nlm.nih.gov/pubmed/18840304
http://dx.doi.org/10.1186/gb-2008-9-10-r147
Descripción
Sumario:Controlled simulations of genome evolution are useful for benchmarking tools. However, many simulators lack extensibility and cannot measure parameters directly from data. These issues are addressed by three new open-source programs: GSIMULATOR (for neutrally evolving DNA), SIMGRAM (for generic structured features) and SIMGENOME (for syntenic genome blocks). Each offers algorithms for parameter measurement and reconstruction of ancestral sequence. All three tools out-perform the leading neutral DNA simulator (DAWG) in benchmarks. The programs are available at .

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