期刊
MOLECULAR BIOLOGY AND EVOLUTION
卷 35, 期 6, 页码 1372-1375出版社
OXFORD UNIV PRESS
DOI: 10.1093/molbev/msy084
关键词
software; evolutionary biology; computational biology
资金
- NIH [U41 HG006620, R01 AI134384-01]
- NSF [1661497]
- Div Of Biological Infrastructure
- Direct For Biological Sciences [1661497] Funding Source: National Science Foundation
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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