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Simulation of Genes and Genomes Forward in Time

The importance of simulation software in current and future evolutionary and genomic studies is just confirmed by the recent publication of several new simulation tools. The forward-in-time simulation strategy has, therefore, re-emerged as a complement of coalescent simulation. Additionally, more ef...

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Detalles Bibliográficos
Autor principal: Carvajal-Rodríguez, Antonio
Formato: Texto
Lenguaje:English
Publicado: Bentham Science Publishers Ltd. 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2851118/
https://www.ncbi.nlm.nih.gov/pubmed/20808525
http://dx.doi.org/10.2174/138920210790218007
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author Carvajal-Rodríguez, Antonio
author_facet Carvajal-Rodríguez, Antonio
author_sort Carvajal-Rodríguez, Antonio
collection PubMed
description The importance of simulation software in current and future evolutionary and genomic studies is just confirmed by the recent publication of several new simulation tools. The forward-in-time simulation strategy has, therefore, re-emerged as a complement of coalescent simulation. Additionally, more efficient coalescent algorithms, the same as new ideas about the combined use of backward and forward strategies have recently appeared. In the present work, a previous review is updated to include some new forward simulation tools. When simulating at the genome-scale the conflict between efficiency (i.e. execution speed and memory usage) and flexibility (i.e. complex modeling capabilities) emerges. This is the pivot around which simulation of evolutionary processes should improve. In addition, some effort should be made to consider the process of developing simulation tools from the point of view of the software engineering theory. Finally, some new ideas and technologies as general purpose graphic processing units are commented.
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spelling pubmed-28511182010-09-01 Simulation of Genes and Genomes Forward in Time Carvajal-Rodríguez, Antonio Curr Genomics Article The importance of simulation software in current and future evolutionary and genomic studies is just confirmed by the recent publication of several new simulation tools. The forward-in-time simulation strategy has, therefore, re-emerged as a complement of coalescent simulation. Additionally, more efficient coalescent algorithms, the same as new ideas about the combined use of backward and forward strategies have recently appeared. In the present work, a previous review is updated to include some new forward simulation tools. When simulating at the genome-scale the conflict between efficiency (i.e. execution speed and memory usage) and flexibility (i.e. complex modeling capabilities) emerges. This is the pivot around which simulation of evolutionary processes should improve. In addition, some effort should be made to consider the process of developing simulation tools from the point of view of the software engineering theory. Finally, some new ideas and technologies as general purpose graphic processing units are commented. Bentham Science Publishers Ltd. 2010-03 /pmc/articles/PMC2851118/ /pubmed/20808525 http://dx.doi.org/10.2174/138920210790218007 Text en ©2010 Bentham Science Publishers Ltd. http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.5/) which permits unrestrictive use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Carvajal-Rodríguez, Antonio
Simulation of Genes and Genomes Forward in Time
title Simulation of Genes and Genomes Forward in Time
title_full Simulation of Genes and Genomes Forward in Time
title_fullStr Simulation of Genes and Genomes Forward in Time
title_full_unstemmed Simulation of Genes and Genomes Forward in Time
title_short Simulation of Genes and Genomes Forward in Time
title_sort simulation of genes and genomes forward in time
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2851118/
https://www.ncbi.nlm.nih.gov/pubmed/20808525
http://dx.doi.org/10.2174/138920210790218007
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