23-27 November 2020
Due to the COVID-19 outbreak, this course will be held online
Phylogenetic inference and divergence-time estimation with genomic data sets
Recent advances in sequencing technology, and the rapid increase in the availability of genetic data, have revolutionized the field of phylogenetics. While genomic data promise unprecedented
insights into the evolution of the tree of life, they also pose new challenges that must be addressed to avoid misleading results and to fully leverage the potential of the genome-scale data
sets. These challenges include the identification of orthologuous sequences that are suitable as phylogenetic markers, the selection of appropriate models of sequence evolution, and the detection
of gene-tree discordance due to incomplete lineage sorting and introgression. In this workshop we will present theory and exercises to infer time-calibrated phylogenies from multi-locus, RADseq,
and whole-genome data sets while accounting for these confounding factors.
The workshop will be delivered over the course of five days. Each day will include an introductory lecture with class discussion of key concepts. The remainder of each day will consist of
practical hands-on sessions. These sessions will involve a combination of both mirroring exercises with the instructors to demonstrate a skill as well as applying these skills on your own to
complete individual exercises. After and during each exercise, interpretation of results will be discussed as a group. Computing will be done using tools installed on the attendees laptop
This workshop is aimed at researchers, PhD or postdoc level planning to infer phylogenetic relationships and divergence times from multi-locus, RADseq, or whole-genome data.