Biology Needs Evolutionary Software Tools: Let's Build Them Right. (23rd April 2018)

• Record Type: Journal Article
• Authors: Nekrutenko, Anton; Team, Galaxy; Goecks, Jeremy; Taylor, James; Blankenberg, Daniel
• Editors: Kumar, Sudhir
• Is Part Of: Molecular biology and evolution. Volume 35:Number 6(2018)
• Page Start: 1372
• Page End: 1375
• Publication Date: 2018-04-23
• Subjects: software -- evolutionary biology -- computational biology; Molecular biology -- Periodicals; Molecular evolution -- Periodicals; Evolution, Molecular -- Periodicals; Molecular Biology -- Periodicals; 572.8
• DOI: 10.1093/molbev/msy084
• Languages: English
• ISSNs: 0737-4038

Abstract

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.