News:The Practice of RADseq: Population Genomics Analysis with Stacks (RADS02) Early bird deadline approaching - 20th September
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oliverhooker ▴ 110

Early bird deadline approaching - 18th September

The Practice of RADseq: Population Genomics Analysis with Stacks (RADS02)

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.


Early bird - book before 20th September £350.00 (limited to 20 places)

Normal - book after 20th September £450.00

Delivered by Dr Julian Catchen

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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.

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population-genomics radseq stacks • 994 views
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For what little it's worth, I attended a version of this workshop (albeit at no cost to me) given by Prof. Catchen 5-6 years ago, and it was very helpful. If you're thinking about using RADSeq data for the first time, this is a good resource.


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