pong (Version 1.0) is released!

Nov 15, 2015

pong, our new software for processing and visualizing output from clustering inference (e.g., STRUCTURE and ADMIXTURE Q matrices), has been released! pong is freely available and can be installed using the Python package management system pip. For supporting documentation and an example dataset based on the 1000 Genomes, please see the projects subpage or the Ramachandran Lab Data Repository.

Our submitted paper (Behr, Liu, Liu-Fang, Nakka, and Ramachandran) describing pong’s algorithm and comparing it against state-of-the-art methods can be found on bioRxiv. A screenshot of pong’s D3.js visualization is shown below: