PopMLvis: a tool for analysis and visualization of population structure using genotype data from genome-wide association studies
Mohamed Elshrif, Keivin Isufaj, Khalid Kunji, Mohamad Saad — BMC Bioinformatics (2024)
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.
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Keivin Isufaj
Software Engineer
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