This workshop will start with a short lecture introduction to population genomics (~15mins), followed by hands-on experience on how to handle and visualize population genomic data (largely) using a published data set (Malinsky, et al. 2015. Genomic islands of speciation separate cichlid ecomorphs in an East African crater lake Science 350: 1493-1498).
Participants who have their own population genomic data sets are encouraged to bring them, and we can brainstorm ways to analyze these data as a group.
The workshop will cover:
- How to calculate basic summary statistics from population genomic data.
- How to infer population structure in population genomic data.
- How to infer demographic histories for population genomic data.
- Hopefully (!), how to start identifying targets of selection in population genomic data.
- Common pitfalls when analyzing population genomic data.
- We assume no prior experience with population genomics - i.e., it is okay if you don't know what a VCF is!
- However, you should understand basics of how high-throughput sequencing works.
- Basic familarity with R is useful, though not required.
- Graduate students, postdocs, and other researchers interested in population genetics
There are a few things you need to do to be prepared:
- Brush up your R skills
- Pull up and bring along any data sets you might have
- Download a few programs needed for analysis (TBA)
- ~3 hours, with a short break for tea.
- We appreciate you taking the time to register (it's free) - it gives us an idea of who’s attending our TEA Talks, and the presenters some background on their audience. We will also provide morning tea, so numbers are needed for catering.
Hosted by the Centre for Biodiversity Analysis, TEA Talks (Techniques in Evolutionary Analysis) are a monthly series of short workshops that introduce a range of current methods and analytical approaches in phylogenetics, bioinformatics and macroevolution.