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forqs: forward-in-time simulation of recombination, quantitative traits and selection
Summary: forqs is a forward-in-time simulation of recombination, quantitative traits and selection. It was designed to investigate haplotype patterns resulting from scenarios where substantial evolutionary change has taken place in a small number of generations due to recombination and/or selection...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928523/ https://www.ncbi.nlm.nih.gov/pubmed/24336146 http://dx.doi.org/10.1093/bioinformatics/btt712 |
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author | Kessner, Darren Novembre, John |
author_facet | Kessner, Darren Novembre, John |
author_sort | Kessner, Darren |
collection | PubMed |
description | Summary: forqs is a forward-in-time simulation of recombination, quantitative traits and selection. It was designed to investigate haplotype patterns resulting from scenarios where substantial evolutionary change has taken place in a small number of generations due to recombination and/or selection on polygenic quantitative traits. Availability and implementation: forqs is implemented as a command-line C++ program. Source code and binary executables for Linux, OSX and Windows are freely available under a permissive BSD license: https://bitbucket.org/dkessner/forqs. Contact: jnovembre@uchicago.edu Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-3928523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39285232014-02-24 forqs: forward-in-time simulation of recombination, quantitative traits and selection Kessner, Darren Novembre, John Bioinformatics Applications Notes Summary: forqs is a forward-in-time simulation of recombination, quantitative traits and selection. It was designed to investigate haplotype patterns resulting from scenarios where substantial evolutionary change has taken place in a small number of generations due to recombination and/or selection on polygenic quantitative traits. Availability and implementation: forqs is implemented as a command-line C++ program. Source code and binary executables for Linux, OSX and Windows are freely available under a permissive BSD license: https://bitbucket.org/dkessner/forqs. Contact: jnovembre@uchicago.edu Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2014-02-15 2013-12-10 /pmc/articles/PMC3928523/ /pubmed/24336146 http://dx.doi.org/10.1093/bioinformatics/btt712 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Kessner, Darren Novembre, John forqs: forward-in-time simulation of recombination, quantitative traits and selection |
title | forqs: forward-in-time simulation of recombination, quantitative traits and selection |
title_full | forqs: forward-in-time simulation of recombination, quantitative traits and selection |
title_fullStr | forqs: forward-in-time simulation of recombination, quantitative traits and selection |
title_full_unstemmed | forqs: forward-in-time simulation of recombination, quantitative traits and selection |
title_short | forqs: forward-in-time simulation of recombination, quantitative traits and selection |
title_sort | forqs: forward-in-time simulation of recombination, quantitative traits and selection |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928523/ https://www.ncbi.nlm.nih.gov/pubmed/24336146 http://dx.doi.org/10.1093/bioinformatics/btt712 |
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