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Approaching Long Genomic Regions and Large Recombination Rates with msParSm as an Alternative to MaCS

The msParSm application is an evolution of msPar, the parallel version of the coalescent simulation program ms, which removes the limitation for simulating long stretches of DNA sequences with large recombination rates, without compromising the accuracy of the standard coalescence. This work introdu...

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Detalles Bibliográficos
Autores principales: Montemuiño, Carlos, Espinosa, Antonio, Moure, Juan C., Vera, Gonzalo, Hernández, Porfidio, Ramos-Onsins, Sebastián
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5047705/
https://www.ncbi.nlm.nih.gov/pubmed/27721650
http://dx.doi.org/10.4137/EBO.S40268
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author Montemuiño, Carlos
Espinosa, Antonio
Moure, Juan C.
Vera, Gonzalo
Hernández, Porfidio
Ramos-Onsins, Sebastián
author_facet Montemuiño, Carlos
Espinosa, Antonio
Moure, Juan C.
Vera, Gonzalo
Hernández, Porfidio
Ramos-Onsins, Sebastián
author_sort Montemuiño, Carlos
collection PubMed
description The msParSm application is an evolution of msPar, the parallel version of the coalescent simulation program ms, which removes the limitation for simulating long stretches of DNA sequences with large recombination rates, without compromising the accuracy of the standard coalescence. This work introduces msParSm, describes its significant performance improvements over msPar and its shared memory parallelization details, and shows how it can get better, if not similar, execution times than MaCS. Two case studies with different mutation rates were analyzed, one approximating the human average and the other approximating the Drosophila melanogaster average. Source code is available at https://github.com/cmontemuino/msparsm.
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spelling pubmed-50477052016-10-07 Approaching Long Genomic Regions and Large Recombination Rates with msParSm as an Alternative to MaCS Montemuiño, Carlos Espinosa, Antonio Moure, Juan C. Vera, Gonzalo Hernández, Porfidio Ramos-Onsins, Sebastián Evol Bioinform Online Software or Database Review The msParSm application is an evolution of msPar, the parallel version of the coalescent simulation program ms, which removes the limitation for simulating long stretches of DNA sequences with large recombination rates, without compromising the accuracy of the standard coalescence. This work introduces msParSm, describes its significant performance improvements over msPar and its shared memory parallelization details, and shows how it can get better, if not similar, execution times than MaCS. Two case studies with different mutation rates were analyzed, one approximating the human average and the other approximating the Drosophila melanogaster average. Source code is available at https://github.com/cmontemuino/msparsm. Libertas Academica 2016-10-02 /pmc/articles/PMC5047705/ /pubmed/27721650 http://dx.doi.org/10.4137/EBO.S40268 Text en © 2016 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License.
spellingShingle Software or Database Review
Montemuiño, Carlos
Espinosa, Antonio
Moure, Juan C.
Vera, Gonzalo
Hernández, Porfidio
Ramos-Onsins, Sebastián
Approaching Long Genomic Regions and Large Recombination Rates with msParSm as an Alternative to MaCS
title Approaching Long Genomic Regions and Large Recombination Rates with msParSm as an Alternative to MaCS
title_full Approaching Long Genomic Regions and Large Recombination Rates with msParSm as an Alternative to MaCS
title_fullStr Approaching Long Genomic Regions and Large Recombination Rates with msParSm as an Alternative to MaCS
title_full_unstemmed Approaching Long Genomic Regions and Large Recombination Rates with msParSm as an Alternative to MaCS
title_short Approaching Long Genomic Regions and Large Recombination Rates with msParSm as an Alternative to MaCS
title_sort approaching long genomic regions and large recombination rates with msparsm as an alternative to macs
topic Software or Database Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5047705/
https://www.ncbi.nlm.nih.gov/pubmed/27721650
http://dx.doi.org/10.4137/EBO.S40268
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