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Biology Needs Evolutionary Software Tools: Let’s Build Them Right

Research in population genetics and evolutionary biology has always provided a computational backbone for life sciences as a whole. Today evolutionary and population biology reasoning are essential for interpretation of large complex datasets that are characteristic of all domains of today’s life sc...

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Detalles Bibliográficos
Autores principales: Nekrutenko, Anton, Team, Galaxy, Goecks, Jeremy, Taylor, James, Blankenberg, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5967460/
https://www.ncbi.nlm.nih.gov/pubmed/29688462
http://dx.doi.org/10.1093/molbev/msy084
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author Nekrutenko, Anton
Team, Galaxy
Goecks, Jeremy
Taylor, James
Blankenberg, Daniel
author_facet Nekrutenko, Anton
Team, Galaxy
Goecks, Jeremy
Taylor, James
Blankenberg, Daniel
author_sort Nekrutenko, Anton
collection PubMed
description Research in population genetics and evolutionary biology has always provided a computational backbone for life sciences as a whole. Today evolutionary and population biology reasoning are essential for interpretation of large complex datasets that are characteristic of all domains of today’s life sciences ranging from cancer biology to microbial ecology. This situation makes algorithms and software tools developed by our community more important than ever before. This means that we, developers of software tool for molecular evolutionary analyses, now have a shared responsibility to make these tools accessible using modern technological developments as well as provide adequate documentation and training.
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spelling pubmed-59674602018-06-04 Biology Needs Evolutionary Software Tools: Let’s Build Them Right Nekrutenko, Anton Team, Galaxy Goecks, Jeremy Taylor, James Blankenberg, Daniel Mol Biol Evol Perspective Research in population genetics and evolutionary biology has always provided a computational backbone for life sciences as a whole. Today evolutionary and population biology reasoning are essential for interpretation of large complex datasets that are characteristic of all domains of today’s life sciences ranging from cancer biology to microbial ecology. This situation makes algorithms and software tools developed by our community more important than ever before. This means that we, developers of software tool for molecular evolutionary analyses, now have a shared responsibility to make these tools accessible using modern technological developments as well as provide adequate documentation and training. Oxford University Press 2018-06 2018-04-23 /pmc/articles/PMC5967460/ /pubmed/29688462 http://dx.doi.org/10.1093/molbev/msy084 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Perspective
Nekrutenko, Anton
Team, Galaxy
Goecks, Jeremy
Taylor, James
Blankenberg, Daniel
Biology Needs Evolutionary Software Tools: Let’s Build Them Right
title Biology Needs Evolutionary Software Tools: Let’s Build Them Right
title_full Biology Needs Evolutionary Software Tools: Let’s Build Them Right
title_fullStr Biology Needs Evolutionary Software Tools: Let’s Build Them Right
title_full_unstemmed Biology Needs Evolutionary Software Tools: Let’s Build Them Right
title_short Biology Needs Evolutionary Software Tools: Let’s Build Them Right
title_sort biology needs evolutionary software tools: let’s build them right
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5967460/
https://www.ncbi.nlm.nih.gov/pubmed/29688462
http://dx.doi.org/10.1093/molbev/msy084
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