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

Anton Nekrutenko | Zendy; Galaxy Zoo Team | Zendy; Jeremy Goecks | Zendy; James Taylor | Zendy; Daniel Blankenberg | Zendy

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

Author(s) -

Anton Nekrutenko,

Galaxy Zoo Team,

Jeremy Goecks,

James Taylor,

Daniel Blankenberg

Publication year - 2018

Publication title -

molecular biology and evolution

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 6.637

H-Index - 218

eISSN - 1537-1719

pISSN - 0737-4038

DOI - 10.1093/molbev/msy084

Subject(s) - biology , documentation , software , population biology , interpretation (philosophy) , population , evolutionary biology , data science , ecology , computer science , programming language , sociology , demography

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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