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

Autor:	Mohamed Elshrif, Keivin Isufaj, Khalid Kunji, Mohamad Saad
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Population genetics Bioinformatics software Machine learning GWAS analysis Computer applications to medicine. Medical informatics R858-859.7 Biology (General) QH301-705.5
Zdroj:	BMC Bioinformatics, Vol 25, Iss 1, Pp 1-14 (2024)
Druh dokumentu:	article
ISSN:	1471-2105
DOI:	10.1186/s12859-024-05908-1
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/1496543d05714c9982029421aa722d0c Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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