SysBiolPGWAS: Simplifying Post GWAS analysis through the use of computational technologies and integration of diverse Omics datasets


 
 
 Post-GWAS analysis is designed to decipher the functional consequences of significant Single Nucleotide Polymorphisms (SNP) in the era of Genome Wide Association Studies (GWAS). This can be translated into research insights and clinical benefits such as effectiveness of strategies for disease screening, treatment and prevention. However, the setup of post-GWAS (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.
 
 
 
 We present SysBiolPGWAS, a post-GWAS web application that provides a comprehensive functionality for biologists and non-bioinformaticians to conduct several post-GWAS 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 post-GWAS tools and a novel custom post-GWAS pipeline which integrates several individual post-GWAS tools and data. The SysBiolPGWAS app was developed to be a one-stop shop for post-GWAS analysis. It targets researchers in the area of the human genome and performs its analysis mainly in the autosomal chromosomes.
 
 
 
 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.
