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MimicrEE2: Genome-wide forward simulations of Evolve and Resequencing studies
Evolve and Resequencing (E&R) studies allow us to monitor adaptation at the genomic level. By sequencing evolving populations at regular time intervals, E&R studies promise to shed light on some of the major open questions in evolutionary biology such as the repeatability of evolution and th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112681/ https://www.ncbi.nlm.nih.gov/pubmed/30114186 http://dx.doi.org/10.1371/journal.pcbi.1006413 |
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author | Vlachos, Christos Kofler, Robert |
author_facet | Vlachos, Christos Kofler, Robert |
author_sort | Vlachos, Christos |
collection | PubMed |
description | Evolve and Resequencing (E&R) studies allow us to monitor adaptation at the genomic level. By sequencing evolving populations at regular time intervals, E&R studies promise to shed light on some of the major open questions in evolutionary biology such as the repeatability of evolution and the molecular basis of adaptation. However, data interpretation, statistical analysis and the experimental design of E&R studies increasingly require simulations of evolving populations, a task that is difficult to accomplish with existing tools, which may i) be too slow, ii) require substantial reformatting of data, iii) not support an adaptive scenario of interest or iv) not sufficiently capture the biology of the used model organism. Therefore we developed MimicrEE2, a multi-threaded Java program for genome-wide forward simulations of evolving populations. MimicrEE2 enables the convenient usage of available genomic resources, supports biological particulars of model organism frequently used in E&R studies and offers a wide range of different adaptive models (selective sweeps, polygenic adaptation, epistasis). Due to its user-friendly and efficient design MimicrEE2 will facilitate simulations of E&R studies even for small labs with limited bioinformatics expertise or computational resources. Additionally, the scripts provided for executing MimicrEE2 on a computer cluster permit the coverage even of a large parameter space. MimicrEE2 runs on any computer with Java installed. It is distributed under the GPLv3 license at https://sourceforge.net/projects/mimicree2/. |
format | Online Article Text |
id | pubmed-6112681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61126812018-09-15 MimicrEE2: Genome-wide forward simulations of Evolve and Resequencing studies Vlachos, Christos Kofler, Robert PLoS Comput Biol Research Article Evolve and Resequencing (E&R) studies allow us to monitor adaptation at the genomic level. By sequencing evolving populations at regular time intervals, E&R studies promise to shed light on some of the major open questions in evolutionary biology such as the repeatability of evolution and the molecular basis of adaptation. However, data interpretation, statistical analysis and the experimental design of E&R studies increasingly require simulations of evolving populations, a task that is difficult to accomplish with existing tools, which may i) be too slow, ii) require substantial reformatting of data, iii) not support an adaptive scenario of interest or iv) not sufficiently capture the biology of the used model organism. Therefore we developed MimicrEE2, a multi-threaded Java program for genome-wide forward simulations of evolving populations. MimicrEE2 enables the convenient usage of available genomic resources, supports biological particulars of model organism frequently used in E&R studies and offers a wide range of different adaptive models (selective sweeps, polygenic adaptation, epistasis). Due to its user-friendly and efficient design MimicrEE2 will facilitate simulations of E&R studies even for small labs with limited bioinformatics expertise or computational resources. Additionally, the scripts provided for executing MimicrEE2 on a computer cluster permit the coverage even of a large parameter space. MimicrEE2 runs on any computer with Java installed. It is distributed under the GPLv3 license at https://sourceforge.net/projects/mimicree2/. Public Library of Science 2018-08-16 /pmc/articles/PMC6112681/ /pubmed/30114186 http://dx.doi.org/10.1371/journal.pcbi.1006413 Text en © 2018 Vlachos, Kofler http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Vlachos, Christos Kofler, Robert MimicrEE2: Genome-wide forward simulations of Evolve and Resequencing studies |
title | MimicrEE2: Genome-wide forward simulations of Evolve and Resequencing studies |
title_full | MimicrEE2: Genome-wide forward simulations of Evolve and Resequencing studies |
title_fullStr | MimicrEE2: Genome-wide forward simulations of Evolve and Resequencing studies |
title_full_unstemmed | MimicrEE2: Genome-wide forward simulations of Evolve and Resequencing studies |
title_short | MimicrEE2: Genome-wide forward simulations of Evolve and Resequencing studies |
title_sort | mimicree2: genome-wide forward simulations of evolve and resequencing studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112681/ https://www.ncbi.nlm.nih.gov/pubmed/30114186 http://dx.doi.org/10.1371/journal.pcbi.1006413 |
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