Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA.
The Galaxy Project, https://github.com/orgs/galaxyproject/people Biomedical Engineering.
Mol Biol Evol. 2018 Jun 1;35(6):1372-1375. doi: 10.1093/molbev/msy084.
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.
群体遗传学和进化生物学的研究一直为整个生命科学提供了计算基础。如今,进化和群体生物学推理对于解释当今生命科学各个领域(从癌症生物学到微生物生态学)的大型复杂数据集至关重要。这种情况使得我们群体开发的算法和软件工具比以往任何时候都更加重要。这意味着,作为分子进化分析软件工具的开发者,我们现在有共同的责任利用现代技术发展使这些工具具有可访问性,并提供足够的文档和培训。