Ohana is a suite of software for analyzing population structure and admixture history using unsupervised learning methods. We construct statistical models to infer individual clustering from which we identify outliers for selection analyses. This project is directed by Dr. Rasmus Nielsen at University of California Berkeley. Jade Cheng is funded by the Bioinformatics, Computer Science Department at Aarhus University and the Natural History Museum of Denmark at Copenhagen University.
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Summary
Ohana is a suite of software for analyzing population structure and admixture history using unsupervised learning methods. We construct statistical models to infer individual clustering from which we identify outliers for selection analyses. This project is directed by Dr. Rasmus Nielsen at University of California Berkeley. Jade Cheng is funded by the Bioinformatics, Computer Science Department at Aarhus University and the Natural History Museum of Denmark at Copenhagen University.
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