Due to unexpected changes, this course has been postponed to 2020. If you open an application now, we will roll it over into the 2020 course application pool.
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
$3,200. Includes course materials, on-campus double-occupancy lodging, meals, parking, wi-fi.
The tuition for 2020 may change.