SysBiolPGWAS: simplifying post-GWAS analysis through the use of computational technologies and integration of diverse omics datasets.

Autor:	Falola O; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria., Adam Y; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria., Ajayi O; South African National Bioinformatics Institute, Life Sciences Building, University of Western Cape, Cape Town 7535, Republic of South Africa., Kumuthini J; South African National Bioinformatics Institute, Life Sciences Building, University of Western Cape, Cape Town 7535, Republic of South Africa., Adewale S; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria., Mosaku A; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria., Samtal C; Laboratory of Biotechnology, Environment, Agri-food and Health, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University, Fez 30000, Morocco., Adebayo G; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria.; Department of Biological Sciences, Covenant University, Ota, Ogun State 112104, Nigeria., Emmanuel J; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria.; Department of Computer & Information Sciences, Covenant University, Ota, Ogun State 112104, Nigeria., Tchamga MSS; African Institute for Mathematical Sciences (AIMS), Muizenberg, Cape Town 7945, South Africa., Erondu U; Department of Computer Science, Landmark University, Omu-Aran, Kwara State 251103, Nigeria., Nehemiah A; Department of Computer Science, Landmark University, Omu-Aran, Kwara State 251103, Nigeria., Rasaq S; Department of Computer Science, Landmark University, Omu-Aran, Kwara State 251103, Nigeria., Ajayi M; Department of Computer Science, Landmark University, Omu-Aran, Kwara State 251103, Nigeria., Akanle B; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria.; Center for System and Information Services, Covenant University, Ota, Ogun State 112104, Nigeria.; Covenant Applied Informatics and Communication Africa Center of Excellence (CApIC-ACE), Covenant University, Ota, Ogun State 112104, Nigeria., Oladipo O; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria.; Center for System and Information Services, Covenant University, Ota, Ogun State 112104, Nigeria.; Covenant Applied Informatics and Communication Africa Center of Excellence (CApIC-ACE), Covenant University, Ota, Ogun State 112104, Nigeria., Isewon I; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria.; Department of Computer & Information Sciences, Covenant University, Ota, Ogun State 112104, Nigeria.; Covenant Applied Informatics and Communication Africa Center of Excellence (CApIC-ACE), Covenant University, Ota, Ogun State 112104, Nigeria., Adebiyi M; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria.; Department of Computer Science, Landmark University, Omu-Aran, Kwara State 251103, Nigeria.; Covenant Applied Informatics and Communication Africa Center of Excellence (CApIC-ACE), Covenant University, Ota, Ogun State 112104, Nigeria., Oyelade J; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria.; Department of Computer & Information Sciences, Covenant University, Ota, Ogun State 112104, Nigeria.; Covenant Applied Informatics and Communication Africa Center of Excellence (CApIC-ACE), Covenant University, Ota, Ogun State 112104, Nigeria., Adebiyi E; Covenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Ogun State 112104, Nigeria.; Department of Computer & Information Sciences, Covenant University, Ota, Ogun State 112104, Nigeria.; Covenant Applied Informatics and Communication Africa Center of Excellence (CApIC-ACE), Covenant University, Ota, Ogun State 112104, Nigeria.; Applied Bioinformatics Division, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany.
Jazyk:	angličtina
Zdroj:	Bioinformatics (Oxford, England) [Bioinformatics] 2023 Jan 01; Vol. 39 (1).
DOI:	10.1093/bioinformatics/btac791
Abstrakt:	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, and it mostly requires big data. The challenge however is, scientists are required to have sufficient experience with several of these technically complex and complicated tools in order to complete the pGWAS analysis. Results: We present SysBiolPGWAS, a pGWAS web application that provides a comprehensive functionality for biologists and non-bioinformaticians to conduct several pGWAS analyses to overcome the above challenges. It provides unique functionalities for analysis involving multi-omics datasets and visualization using various bioinformatics tools. SysBiolPGWAS provides access to individual pGWAS tools and a novel custom pGWAS pipeline that integrates several individual pGWAS tools and data. The SysBiolPGWAS app was developed to be a one-stop shop for pGWAS analysis. It targets researchers in the area of the human genome and performs its analysis mainly in the autosomal chromosomes. Availability and Implementation: SysBiolPGWAS web app was developed using JavaScript/TypeScript web frameworks and is available at: https://spgwas.waslitbre.org/. All codes are available in this GitHub repository https://github.com/covenant-university-bioinformatics. (© The Author(s) 2022. Published by Oxford University Press.)
Databáze:	MEDLINE
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