genetic-genealogy

Data Science techniques applied to human DNA data

Using G25 coordinates for both ancestral and modern DNA samples publicly available from scientific research

Global 25 coordinates from: https://vahaduo.github.io/g25download/

(Originally from Eurogenes — see https://eurogenes.blogspot.com/2019/07/getting-most-out-of-global25_12.html)

Datasets manually filtered by epoch / age (Bronze, Iron, etc)

Additional data comes from

• David Reich's Lab at Harvard (https://dataverse.harvard.edu/dataset.xhtml)
• Indo-European.eu (https://indo-european.eu/ancient-dna/)
• YFull's ancient DNA samples (https://www.yfull.com/ancient/)

R code using Jupyter notebooks includes

• Principal Component Analysis
• Hierarchical Clustering
• K-means Clustering
• Nearest Neighbors
• Graph Analysis
• XGBoost

Also see my blog at https://timpiatenko.substack.com/s/genetic-genealogy

Specifically this post: https://open.substack.com/pub/timpiatenko/p/genetic-analysis-tools-for-the-hobbyists