Welcome to the Workshop on Molecular Evolution
MBL Course Page (to apply)
Course Dates: 1 August to 11 August, 2019.
MBL’s Workshop on Molecular Evolution is the most prestigious workshop serving the field of evolutionary studies. Founded in 1988, it is the longest-running workshop if its kind, and it has earned worldwide recognition for its rich and intensive learning experience. Students work closely with internationally-recognized scientists, receiving (i) high-level instruction in the principles of molecular evolution and evolutionary genomics, (ii) advanced training in statistical methods best suited to modern datasets, and (iii) hands-on experience with the latest software tools (often from the authors of the programs they are using). The material is delivered via lectures, discussions, and bioinformatic exercises motivated by contemporary topics in molecular evolution. A hallmark of this workshop is the direct interaction between students and field-leading scientists. The workshop serves graduate students, postdocs, and established faculty from around the world seeking to apply the principles of molecular evolution to questions of anthropology, conservation genetics, development, behavior, physiology, and ecology. The workshop also welcomes participants from federal agencies and science journalists. A priority of this workshop is to foster an environment where students can learn from each other as well from the course faculty.
Content has been carefully selected to provide participants with the background and practical skills required by modern molecular datasets. The schedule addresses the following subject areas, with each subject having one or more exercises focused on practical data analysis and interpretation skills.
As the course progresses, participants learn how to use the following software to address questions concerning the origins, maintenance, and function of molecular variation: PAUP*, IQTree, SVD Quartets, ASTRAL, SNaQ, RevBayes, MIGRATE, PAML, and other tools for data preparation and interpreting results. Students will work with software on their own laptops and learn how to run analyses on a high performance computer cluster. Training in programming with specific examples in phylogenetics is provided too.