Compete in GHIST - the Genomic History Inference Strategies Tournament
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Ryan N Gutenkunst
Aug 30, 2024, 3:37:21 PM8/30/24
to fastsimcoal2
Hello fastsimcoal2 users!
I encourage you to participate in GHIST, the Genomic History Inference Strategies Tournament: http://ghi.st <http://ghi.st/> . This year the tournament consists of demographic history inference challenges, so you are all well-placed to compete. A quick round of data analysis could earn you an authorship and help the community learn best practices.
There are many ways to infer population history, natural selection, or other evolutionary properties from genomic data, and it is often unclear which methods work best for which tasks. GHIST is an annual forum for the community to test inference approaches in an unbiased fashion. Each year, the GHIST organizers release simulated population genomic data sets and host a competition to infer various aspects of the processes that generated those data. From the submissions, the community will learn what approaches perform well or poorly in particular circumstances. And it is a great training opportunity! Top competitors will be invited as coauthors on the publication describing the year’s competition.
This year, GHIST consists of 4 demographic history inference tasks, ranging from simple to complex. You can use whatever approach you prefer to tackle each task. The competition will close October 18, 2024. So there is plenty of time, including for new trainees who start in the Fall semester.
To help folks get started, we’ve created a 1-hour workshop which leads you through analyzing the first challenge’s data using dadi-cli and submitting your results. Find that on our webpage: http://ghi.st <http://ghi.st/>
If you have any questions, please contact me as chair of the Design Committee.
Thanks,
Ryan
P.S. Thank you to Laurent for permission to advertise to fastsimcoal2 users!
I encourage you to participate in GHIST, the Genomic History Inference Strategies Tournament: http://ghi.st <http://ghi.st/> . This year the tournament consists of demographic history inference challenges, so you are all well-placed to compete. A quick round of data analysis could earn you an authorship and help the community learn best practices.
There are many ways to infer population history, natural selection, or other evolutionary properties from genomic data, and it is often unclear which methods work best for which tasks. GHIST is an annual forum for the community to test inference approaches in an unbiased fashion. Each year, the GHIST organizers release simulated population genomic data sets and host a competition to infer various aspects of the processes that generated those data. From the submissions, the community will learn what approaches perform well or poorly in particular circumstances. And it is a great training opportunity! Top competitors will be invited as coauthors on the publication describing the year’s competition.
This year, GHIST consists of 4 demographic history inference tasks, ranging from simple to complex. You can use whatever approach you prefer to tackle each task. The competition will close October 18, 2024. So there is plenty of time, including for new trainees who start in the Fall semester.
To help folks get started, we’ve created a 1-hour workshop which leads you through analyzing the first challenge’s data using dadi-cli and submitting your results. Find that on our webpage: http://ghi.st <http://ghi.st/>
If you have any questions, please contact me as chair of the Design Committee.
Thanks,
Ryan
P.S. Thank you to Laurent for permission to advertise to fastsimcoal2 users!
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Ryan Gutenkunst
Professor and Department Head, Molecular and Cellular Biology, University of Arizona
http://gutengroup.arizona.edu, (520) 626-0569, LSS 444A
Ryan Gutenkunst
Professor and Department Head, Molecular and Cellular Biology, University of Arizona
http://gutengroup.arizona.edu, (520) 626-0569, LSS 444A
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