The purpose of this course is to provide graduate students with the theoretical knowledge and practical skills for the evolutionary analysis of next generation sequence data. The course will entail data retrieval and assembly, alignment techniques, variant calling, gene expression analyses, hypothesis testing, and population genomic and phylogenomic approaches. The course will be presented as a series of short lectures and lab exercises over the last two weeks of January.
Format: A mix of lecture and lab exercises, running in a 2-hour block. (2 credits)
Recommended Prerequisites: Students should have basic knowledge in R and some command line knowledge (although the latter could be obtained during the course)
Evaluation: Participation in discussions and lab exercises.