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Mlcoalsim: Multilocus Coalescent Simulations

Coalescent theory is a powerful tool for population geneticists as well as molecular biologists interested in understanding the patterns and levels of DNA variation. Using coalescent Monte Carlo simulations it is possible to obtain the empirical distributions for a number of statistics across a wide...

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Detalles Bibliográficos
Autores principales: Ramos-Onsins, Sebastian E., Mitchell-Olds, Thomas
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674636/
https://www.ncbi.nlm.nih.gov/pubmed/19430603
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author Ramos-Onsins, Sebastian E.
Mitchell-Olds, Thomas
author_facet Ramos-Onsins, Sebastian E.
Mitchell-Olds, Thomas
author_sort Ramos-Onsins, Sebastian E.
collection PubMed
description Coalescent theory is a powerful tool for population geneticists as well as molecular biologists interested in understanding the patterns and levels of DNA variation. Using coalescent Monte Carlo simulations it is possible to obtain the empirical distributions for a number of statistics across a wide range of evolutionary models; these distributions can be used to test evolutionary hypotheses using experimental data. The mlcoalsim application presented here (based on a version of the ms program, Hudson, 2002) adds important new features to improve methodology (uncertainty and conditional methods for mutation and recombination), models (including strong positive selection, finite sites and heterogeneity in mutation and recombination rates) and analyses (calculating a number of statistics used in population genetics and P-values for observed data). One of the most important features of mlcoalsim is the analysis of multilocus data in linked and independent regions. In summary, mlcoalsim is an integrated software application aimed at researchers interested in molecular evolution. mlcoalsim is written in ANSI C and is available at: http://www.ub.es/softevol/mlcoalsim.
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spelling pubmed-26746362009-05-08 Mlcoalsim: Multilocus Coalescent Simulations Ramos-Onsins, Sebastian E. Mitchell-Olds, Thomas Evol Bioinform Online Application Note Coalescent theory is a powerful tool for population geneticists as well as molecular biologists interested in understanding the patterns and levels of DNA variation. Using coalescent Monte Carlo simulations it is possible to obtain the empirical distributions for a number of statistics across a wide range of evolutionary models; these distributions can be used to test evolutionary hypotheses using experimental data. The mlcoalsim application presented here (based on a version of the ms program, Hudson, 2002) adds important new features to improve methodology (uncertainty and conditional methods for mutation and recombination), models (including strong positive selection, finite sites and heterogeneity in mutation and recombination rates) and analyses (calculating a number of statistics used in population genetics and P-values for observed data). One of the most important features of mlcoalsim is the analysis of multilocus data in linked and independent regions. In summary, mlcoalsim is an integrated software application aimed at researchers interested in molecular evolution. mlcoalsim is written in ANSI C and is available at: http://www.ub.es/softevol/mlcoalsim. Libertas Academica 2007-03-02 /pmc/articles/PMC2674636/ /pubmed/19430603 Text en Copyright © 2007 The authors. http://creativecommons.org/licenses/by/3.0 This article is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0. (http://creativecommons.org/licenses/by/3.0)
spellingShingle Application Note
Ramos-Onsins, Sebastian E.
Mitchell-Olds, Thomas
Mlcoalsim: Multilocus Coalescent Simulations
title Mlcoalsim: Multilocus Coalescent Simulations
title_full Mlcoalsim: Multilocus Coalescent Simulations
title_fullStr Mlcoalsim: Multilocus Coalescent Simulations
title_full_unstemmed Mlcoalsim: Multilocus Coalescent Simulations
title_short Mlcoalsim: Multilocus Coalescent Simulations
title_sort mlcoalsim: multilocus coalescent simulations
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674636/
https://www.ncbi.nlm.nih.gov/pubmed/19430603
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