PR statistics is running a course on population genomics, this course is suitable for anyone studying population genomics in marine mammal populations. The skills learned are transferable across all taxa. Please email oliverhooker@prstatistics.com with any questions. The Practice of RADseq: Population Genomics Analysis with Stacks (RADS02) <https://www.prstatistics.com/course/the-practice-of-radseq-population-genomics-analysis-with-stacks-rads02/> https://www.prstatistics.com/course/the-practice-of-radseq-population-genomi... 2nd - 6th October 2023, 09:00-16:00 CDT (Central Daylight Time), however all sessions will be recorded and made available daily allowing attendees from different time zones to follow. Cost Early bird - book before 18th September £350.00 Normal - book after 18th September £450.00 Delivered by Dr Julian Catchen <https://catchenlab.life.illinois.edu/> Please feel free to share! About This Course 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: - Navigate the UNIX file system, execute commands, and interact with bioinformatic data files; - Understand how to perform a de novo analysis – without a reference genome – including parameter optimization; - Understand how PCR duplicates and other molecular library characteristics affect analysis; - Complete a reference genome-based analysis; - Take the outputs from Stacks to complete a Structure analysis (de novo), a genome scan based on FST(reference-based), and a private allele analysis. Please email oliverhooker@prstatistics.com -- Oliver Hooker PhD. PR statistics