[R-sig-genetics] Machine and Deep Learning Methods in Population Genomics and Phylogeography

[i@io m@iii@g oii phys@ii@-courses@org]

Dear all,
 
There are only a few seats left for the Physalia online course: Machine and Deep Learning Methods in Population Genomics and Phylogeography, scheduled from 31 March to 3 April.
 
 
 
Course website: [ https://www.physalia-courses.org/courses-workshops/deep-learning-in-popgen/ ]( https://www.physalia-courses.org/courses-workshops/deep-learning-in-popgen/ )
 
 
 
This course will focus on using deep learning, specifically Convolutional Neural Networks (CNN), to extract information from genetic data for population genomics and phylogeography inference. The theoretical background for simulating genetic data and developing machine and deep learning architectures will be covered and followed by practical examples, in modules structured over four days.
 
On the first day, the participants will learn how to simulate genetic data under competing demographic scenarios and use ABC for their inference. Day 2 will include an introduction to machine learning and its applications to evolutionary genomics. In Day 3, deep learning will be introduced and used to compare the demographic scenarios conceived in previous days. Day 4 will be dedicated to the simulation of genomic regions with selective sweeps and using CNN to detect such regions on real genomes. The course is structured to include lectures with discussions of key concepts and practical hands-on sessions, contextualised with research study cases.
 
 
 
For the full list of our courses and workshops, please visit: [ https://www.physalia-courses.org/courses-workshops/ ]( https://www.physalia-courses.org/courses-workshops/deep-learning-in-popgen/ )
 
 
 
Best regards,
 
Carlo
 
 
 
 
 
 
 
 
 
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Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info using physalia-courses.org

mobile: +49 17645230846
 
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