pong

SUMMARY: Pong is a tool for analyzing and visualizing latent cluster membership using multilocus genotype data, which is commonly used in population genetics. The tool employs an efficient algorithm for solving the Assignment Problem, resulting in faster and more accurate results than other methods that process mixed-membership model outputs. Pong provides an interactive visualization of population structure and has been shown to identify previously overlooked aspects of global human population structure. It is freely available and can be installed using the Python package management system pip.

Topic

Genetics;Population genetics

Detail

  • Operation: Pathway or network visualisation;Pathway or network analysis

  • Software interface: Command-line user interface

  • Language: Javascript;Python

  • License: -

  • Cost: Free

  • Version name: 1.5

  • Credit: Brown University Undergraduate Teaching and Research Award (UTRA), Research Experiences for Undergraduates Supplement to a National Science Foundation Faculty Early Career Development Award, The Pew Charitable Trusts, Alfred P. Sloan.

  • Input: -

  • Output: -

  • Contact: sramachandran@brown.edu

  • Collection: -

  • Maturity: Stable

Publications

  • pong: fast analysis and visualization of latent clusters in population genetic data.
  • Behr AA, et al. pong: fast analysis and visualization of latent clusters in population genetic data. pong: fast analysis and visualization of latent clusters in population genetic data. 2016; 32:2817-23. doi: 10.1093/bioinformatics/btw327
  • https://doi.org/10.1093/bioinformatics/btw327
  • PMID: 27283948
  • PMC: PMC5018373

Download and documentation

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