The 2024 Genomic History Inference Strategies Tournament (GHIST) is live!

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 you 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

For questions, please contact Ryan Gutenkunst <rgutenk@arizona.edu>,
chair of the Design Committee.

"Gutenkunst, Ryan N - (rgutenk)" <rgutenk@arizona.edu>

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