This course is designed to develop biomedical data scientists and to give biomedical researchers advanced data science skills. It offers training in population-scale genomic studies of environmental stress and contributes to a growing network of data scientists that provides a resource for long-term problem solving and professional development. The network provides any individual participant access to the multidisciplinary collective skill set of the group.
Environmental Genomics is designed to give participants the knowledge and computational skills to design, analyze, and interpret population-scale genomics studies of environmental stress. It seeks to guide research towards understanding how gene function is influenced by environmental conditions while accounting for variation that exists within and among natural populations.
Topics covered include:
- Sequence analysis workflows and use of R statistical analysis tools
- Experimental design for environmental genomics research and laboratory training
- Biodiversity, Biocomplexity, and Genomics
- Visualizing complex data
- Advanced transcriptomic analysis
- Population genomics
- Enrichment analysis pathways and networks
- Data navigation and management
Evening synthesis sessions with course faculty and invited lecturers are designed to reinforce course curricula. Course participants are also given the opportunity to share their own research projects with the group and receive feedback about successfully integrating course material into their research.
Prior Environmental Genomics course faculty and invited lecturers include:
- Ben Brown
- Sue Celniker
- Gary Churchill
- John Colbourne
- Michael Herman
- Loretta Johnson
- Leonid Kruglyac
- Trudy Mckay
- John Novembre
- Joseph Shaw
- Kelley Thomas
- Wes Warren
- Andrew Whitehead
- Rick Woychik
Applicants may be interested in taking the Applied Bioinformatics course immediately prior to this course as introduction and preparation for the Environmental Genomics experience. For beginners, the two courses combine to offer an immersion-based, quick on-ramp to the field. Students enrolled in both courses receive complimentary on-campus housing to enjoy Acadia National Park and the Bar Harbor area for the two days between courses.
$3,200. Includes course materials, on-campus double-occupancy lodging, meals, parking, wi-fi.
- Benjamin L. King, Ph.D.Assistant Professor of BioinformaticsUniversity of Maine
Saturday, 5pm: Arrival and check into housing
Dinner and course introduction
Sunday through Friday: Course sessions
Saturday by 9am: Check out of housing and depart
Schedule details will be provided to course registrants as we approach the start date.
Double occupancy on-campus housing is provided. Single occupancy housing, if available, may be purchased for an additional fee.