Berlin, 2-6 December 2019
Adaptation to spatial and temporal variation in selection fuels much of the conspicuous diversity we see within and between species, and the genomics era is providing us with an unprecedented opportunity to understand the molecular basis of adaption in natural populations. But for many, analysis and interpretation of this genomic data remains a challenge. Our course will guide biologists through the analysis and interpretation of genome-wide genetic data to study adaptation. Participants will receive training in population genetics and statistics that forms the basis for adaptation genomic approaches. They will also receive hands-on experience in the preparation of genomic data, the use of bioinformatic tools to identify regions of the genome that have been under selection and regions that area associated with population structure, phenotypic variation and environmental variation,and in identifying thefunctional significance of these regions using comparative tools. The course will combine lectures, groups discussions and hands-on practical exercises using bioinformatic analysis pipelines.
Genomic data handling, preparation and filtering. Determining population structure and calculating population genomic summary statistics. Quantify changes in allele frequencies during rapid adaptation Identifying signatures of selection, finding regions of high differentiation and identifying genotype-environment and genotype-phenotype associations. Identifying potential candidate genes or gene pathways within genomic regions of interest.
Students and researchers of ecology and evolution who are planning to or have started to use genome-wide genetic data to address questions regarding adaptation. Ideally, participants should be familiar with commonly used DNA sequencing technologies and have experience working in the command line on Linux or Unix systems.
By the end of this course, participants will be able to:
Monday- 09:30- 17:30
-Lecture+ Discussion: What is Adaptation Genomics and what questions can we and should we address with our genomic data.
-Lecture: Introduction to Genomic Data and Experimental Design
-Exercise: Handling genomic data
-Exercise: Quality control and filtering
COURSE + REFRESHMENTS
COURSE + REFRESHMENTS + LUNCH and ACCOMMODATION
> 30 days before the start date = 30% cancellation fee
< 30 days before the start date= No Refund.
Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.