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Using Principal Component Analysis (PCA) to understand human genetic variation based on data from the International Genome Sample Resource (IGSR)

This project reads in human genetic data from the IGSR in VCF format and performs PCA using scikit-learn and plots the results using altair, providing insights on human genetic variation based on geographic location

To download the data, run: download.sh

Then parse the data: vcf_to_matrix

Then finally run the python notebook plot_pca.ipynb

Results for Chromosome 22: res