Welcome to the Machine Learning in Population Genetics Workshops repository! This repository contains a collection of workshops designed to provide hands-on experience with various tools and methodologies at the intersection of machine learning and population genetics.
Each workshop focuses on a specific tool or framework and includes its own set of materials, datasets, scripts, and examples.
The repository is organized into subfolders, each corresponding to a specific tool or topic. Each subfolder contains its own README file with detailed instructions, requirements, and usage guidelines for the workshop.
Below is a list of the available workshops in this repository:
-
SBI Workshop
Description: Explore how neural posterior estimation can be used to infer ancestral population sizes from genetic data. -
IntroUNET
Description: Learn how to use IntroUNET to detect genomic regions affected by introgression and pull out introgressed haplotpyes. -
PoMoBalance
Description: Explore how estimate parameters for Balancing Selection with Polymorphism-aware Phylogenetic Models
To get started, clone this repository and navigate to the workshop folder you are interested in. Follow the instructions in the respective README file to set up dependencies and start the workshop.
Each workshop may have specific software or package dependencies. Check the individual README files in each subfolder for detailed installation steps and requirements.
Happy learning! If you have any questions or suggestions, feel free to open an issue or contact us.