Do you want to run reproducible, bug-free simulations of genetic datasets from published demographic models? Then you need to know about stdpopsim! The PopSim Consortium is hosting an Asia-Pacific-friendly workshop, led by me, on Dec 11th. Details below: (1/n)
Briefly, stdpopsim is a standardised library for population genetic simulations. Using a simple command-line interface, you can generate sample chromosomes from a range of model organisms using recombination maps, demographic models and genomic contigs of your choice. (2/n)
Under the hood, stdpopsim relies on the powerful msprime and SLiM 3 simulation engines to generate datasets in an efficient tree sequence format. But don't worry -- you don't need to know about msprime, SLiM or tree sequences to start working with stdpopsim! (3/n)
The Asia-Pacific workshop will be on Dec 11th at the following time(s): 2-3.30pm NZDT, 12-1.30pm AEDT, 10-11.30am JST, 9-10.30am CST, 2-3.30am CET, 8-9.30pm EST (Dec 10), 5-6.30pm PST (Dec 10). Register via this form: (4/n) https://docs.google.com/forms/u/1/d/e/1FAIpQLSc3dQ-meWyercaDzCabWCkXehzPeMznvnSxVlCevINql5T96A/viewform?usp=send_form
(If you live in another timezone, you may be interested in one of the other workshops -- see here) (5/n) https://twitter.com/evolauterbur/status/1330895406830534656
Currently, stdpopsim supports models for Arabidopsis thaliana , Canis familiaris , Drosophila melanogaster , E. coli , Homo sapiens and Pongo abelii . However, we are working hard to get more organisms (and models) into the library! (6/n)
This is where *you* can help us: the range of species and models covered by stdpopsim is part of what keeps it useful and relevant. We’d *love* to have more input from folks in the Asia-Pacific region about the organisms and demographic models that are of interest to you. (7/n)
If you'd like to learn more about stdpopsim right now, here are some resources you can check out:
(1) Our paper in ELife
https://elifesciences.org/articles/54967
(2) This brief summary in Nature Methods
https://www.nature.com/articles/s41592-020-0951-4
(3) Our doc page:
https://stdpopsim.readthedocs.io/en/latest/index.html
(n/n)
(1) Our paper in ELife
https://elifesciences.org/articles/54967
(2) This brief summary in Nature Methods
https://www.nature.com/articles/s41592-020-0951-4
(3) Our doc page:
https://stdpopsim.readthedocs.io/en/latest/index.html
(n/n)