PopMLvis: a tool for analysis and visualization of population structure using genotype data from genome-wide association studies

Abstract

One of the aims of population genetics is to identify genetic differences/similarities among individuals of multiple ancestries. Many approaches including principal component analysis, clustering, and maximum likelihood techniques can be used to assign individuals to a given ancestry based on their genetic makeup. Although there are several tools that implement such algorithms, there is a lack of interactive visual platforms to run a variety of algorithms in one place. Therefore, we developed PopMLvis, a platform that offers an interactive environment to visualize genetic similarity data using several algorithms, and generate figures that can be easily integrated into scientific articles. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-024-05908-1. Keywords: Population genetics, Bioinformatics software, Machine learning, GWAS analysis