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

Keywords

Computational biology
Evolutionary biology
Software

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics
Molecular Biology
Genetics

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10.1093/molbev/msy084

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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.",

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AU - Taylor, James

AU - Blankenberg, Daniel

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

Abstract

Keywords

ASJC Scopus subject areas

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