Article
SysBiolPGWAS: simplifying post-GWAS analysis through the use of computational technologies and integration of diverse omics datasets.
Bioinformatics (Oxford, England) - 1 Jan 2023
Falola Oluwadamilare, Adam Yagoub, Ajayi Olabode, Kumuthini Judit, Adewale Suraju, Mosaku Abayomi, Samtal Chaimae, Adebayo Glory, Emmanuel Jerry, Tchamga Milaine S S, Erondu Udochukwu, Nehemiah Adebayo, Rasaq Suraj, Ajayi Mary, Akanle Bola, Oladipo Olaleye, Isewon Itunuoluwa, Adebiyi Marion, Oyelade Jelili, Adebiyi Ezekiel
Abstract excerpt
MOTIVATION: Post-genome-wide association studies (pGWAS) analysis is designed to decipher the functional consequences of significant single-nucleotide polymorphisms (SNPs) in the era of GWAS. This can be translated into research insights and clinical benefits such as the effectiveness of strategies for disease screening, treatment and prevention. However, the setup of pGWAS (pGWAS) tools can be quite complicated,...
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