Hello plotly community, this was my first visualization/dashboard project, so feedback or suggestions would be appreciated.
The app uses a few locations in the genome to discriminate between global populations in a large public genomic dataset. The source code is on GitHub for any interested in the technical details, which include dimensionality reduction techniques like PCA, tSNE and UMAP.
For any users who have a Kaggle account and 23andMe data, it might be of interest to check out a Kaggle kernel where users can plot their own genomic data in the context of these dimensions, although I would really like to add this functionality to the app itself.
