Biology needs evolutionary software tools: Let's build them right

Anton Nekrutenko; Galaxy Team; Jeremy Goecks; James Taylor; Daniel Blankenberg

doi:10.1093/molbev/msy084

Biology needs evolutionary software tools: Let's build them right

Anton Nekrutenko, Galaxy Team, Jeremy Goecks, James Taylor, Daniel Blankenberg

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	1372-1375
Number of pages	4
Journal	Molecular biology and evolution
Volume	35
Issue number	6
DOIs	https://doi.org/10.1093/molbev/msy084
State	Published - Jun 2018

All Science Journal Classification (ASJC) codes

Ecology, Evolution, Behavior and Systematics
Molecular Biology
Genetics

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10.1093/molbev/msy084

Cite this

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title = "Biology needs evolutionary software tools: Let's build them right",

abstract = "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.",

author = "Anton Nekrutenko and Galaxy Team and Jeremy Goecks and James Taylor and Daniel Blankenberg",

note = "Funding Information: The authors are grateful to Bioconda, BioContainers, and Galaxy communities as without these resources this work would not be possible. This project was supported by NIH grants U41 HG006620 and R01 AI134384-01 as well as NSF grant 1661497 to J.T. and A.N. Funding Information: The authors are grateful to Bioconda, BioContainers, and Galaxy communities as without these resources this work would not be possible. This project was supported by Publisher Copyright: {\textcopyright} The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.",

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AU - Goecks, Jeremy

AU - Taylor, James

AU - Blankenberg, Daniel

N1 - Funding Information: The authors are grateful to Bioconda, BioContainers, and Galaxy communities as without these resources this work would not be possible. This project was supported by NIH grants U41 HG006620 and R01 AI134384-01 as well as NSF grant 1661497 to J.T. and A.N. Funding Information: The authors are grateful to Bioconda, BioContainers, and Galaxy communities as without these resources this work would not be possible. This project was supported by Publisher Copyright: © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

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Biology needs evolutionary software tools: Let's build them right

Abstract

All Science Journal Classification (ASJC) codes

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