This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.
TIME ZONE – Central Standard Time – however all sessions will be recorded and made available allowing attendees from different time zones to follow.
This course is aimed at introducing researchers to the theory and practice of using reduced representation libraries – such as RAD sequencing – to preform population genomic analysis in non-model organisms. The course will center on running the software pipeline Stacks, focusing on how the characteristics of the underlying molecular libraries result in weak or robust analytical results. Sessions will be live online, consisting of a blend of lectures, interactive demonstrations, and lab practicals, where participants will have the opportunity to ask questions throughout. Computation will be done on the Amazon AWS Cloud.
By the end of the course, participants should be able to:
Graduate students, post-doctoral researchers, or professionals who wish to learn how to analyze genomic RAD-based data.
Availability – TBC
Duration – 5 days
Contact hours – Approx. 35 hours
ECT’s – Equal to 3 ECT’s
Language – English
Data and analytical approaches will be presented in a lecture format to introduce key concepts. In the beginning, participants will work interactively with the instructor to understand fundamentals. Once completed, the course will shift into a lab practical format, where the instructor introduces the lab, then free time is given for participants to complete the lab with the instructor present to answer questions. At the end of each practical, the instructor will go over the key ideas and results.
Basic understanding of evolution (mutation, drift, selection, migration, HWE) and population-genomic concepts (e.g., FST, population structure) is assumed.
No computational background knowledge is assumed, however, experience in UNIX and/or bioinformatics analysis will enable participants to move at a faster pace.
Students will need a laptop or desktop with a fast and reliable internet connection. The computer can run any operating system including MacOS, Windows, or Linux, as we will connect, via the terminal, to our AWS instance on the Amazon Cloud.
PLEASE READ – CANCELLATION POLICY
Cancellations/refunds are accepted as long as the course materials have not been accessed,.
There is a 20% cancellation fee to cover administration and possible bank fess.
If you need to discuss cancelling please contact firstname.lastname@example.org.
If you are unsure about course suitability, please get in touch by email to find out more email@example.com
Day 1: 09:00 – 16:00 (Central Standard Time, i.e., Chicago)
Day 2: 09:00 – 16:00
Day 3: 09:00 – 16:00
Day 4: 09:00 – 16:00
Day 5: 09:00 – 16:00
Dr. Julian Catchen is an Associate Professor at the University of Illinois at Urbana-Champaign where he runs a population genomics lab that focuses on how the evolution of the genome affects underlying genomic architecture. He is the primary author of Stacks and has been involved in RADseq analysis since 2009, working on projects in a variety of fishes, birds, and insects while applying a diversity of genomic analyses including defining population structure, conducting genome scans, private allele analysis, and phylogenetics.
Lab Website: https://catchenlab.life.illinois.edu/
Google Scholar: https://scholar.google.com/citations?user=YKnVJaAAAAAJ&hl=en
Research Gate: https://www.researchgate.net/profile/Julian-Catchen