MetaGenyo framework

MetaGenyo is a web-based meta-analysis tool for Genetic Association Studies (GAS). MetaGenyo delivers a complete workflow that may be done in a user-friendly environment without the need for a programming experience. MetaGenyo was created to walk users through the essential phases of a GAS meta-analysis, including the Hardy-Weinberg test, a statistical association for multiple genetic models, heterogeneity analysis, testing for journal publication bias, subgroup analysis, and findings robustness testing.

One of the key features of MetaGenyo is its ability to integrate multiple bioinformatics tools and databases seamlessly. It incorporates popular algorithms and pipelines for data analysis, allowing researchers to perform comprehensive analyses without manually switching between different software packages. By streamlining the analysis workflow, MetaGenyo improves efficiency and reduces the chance of errors.

Furthermore, the framework offers various statistical and visualization tools for data interpretation. It enables researchers to perform differential expression analysis, pathway enrichment analysis, and functional annotation of genetic variants. The results can be visualized through interactive plots and customizable reports, making extracting meaningful insights from complex genomic data easier.

The MetaGenyo framework is a powerful and versatile tool that simplifies genetic and genomic data analysis and interpretation. It provides researchers with a comprehensive set of tools, integration with external resources, and interactive visualization capabilities, ultimately enhancing our understanding of the intricate complexities of the genome.

References

Martorell-Marugan, Jordi, et al. “MetaGenyo: a web tool for meta-analysis of genetic association studies.” BMC bioinformatics 18.1 (2017): 1-6.