Methods in Ecological Genomic Analysis (MEGA 2015)
workshop series at Mote TRL, June 30 - July 14, 2015
Ecological genomics is the new and extremely powerful way to address long-standing ecological and evolutionary questions. We endeavor to teach the methods that we have developed specifically for working with non-model organisms to students with limited or no genomics or bioinformatics experience. Two back-to-back workshops will take place at the Mote Tropical Research Laboratory, using reef-building corals as subjects for specific research projects. The projects are designed to yield novel publishable results, and we encourage students to continue collaborating on these projects after the course has ended. Students making significant contributions to data analysis and manuscript preparation will be offered authorship (see previous publications stemming from our workshops at Mote).
Click on these links to see syllabi and costs (costs include accommodation but not board):
June 30 - July 7
July 7 - July 14
Instructor-in-chief: Mikhail V. Matz (google scholar page)
The workshops aim at researchers at or above graduate-level actively working in the field of evolution and/or ecology. Practical molecular biology experience, however limited, will be helpful. People with earlier experience with metabarcoding, RNA-seq and RAD are welcome: we use the latest wet-lab methods and analysis protocols developed in the Matz lab, which would be very useful even for an experienced practitioner. The students will need to bring your own laptop with installed R and (for PC users) SSH terminal application.
To enroll
By March 30, 2015, send an email with “MEGA2015” in the subject line to all the instructors (Mikhail Matz <>, Groves Dixon <>, Marie Strader <>), indicating your interest, and a short description of your research focus (or simply references to your relevant publications). Please specify how likely you are to participate, assuming that you will have to pay the workshop’s fee by May 15.  Each part of the workshop is limited to 12 participants, first come first serve (assuming the prerequisites are met).