EasyOmics-A graphical interface for population-scale omics data association, integration and visualization

The rapid growth of population-scale whole genome resequencing, RNA sequencing, bisulfate sequencing, metabolomics and proteomic profiling has led quantitative genetics into a big omics data era. Performing omics data association analysis, such as genome, transcriptome, proteome and methylome wide association analysis, and integrative analysis on multiple omics dataset requires various bioinformatics tools rely on advanced programming skills and command-line environments, which are challenging for most wet-lab biologists. Here, we present EasyOmics a stand-alone R Shiny application with a user-friendly interface for wet-lab biologists to perform population-scale omics data association, integration and visualization. The toolkit incorporates multiple functions designed to meet the increasing demand for big omics data analyses, ranging from data quality control, heritability estimation, genome wide association analysis, conditional association analysis, omics quantitative trait locus mapping, omics wide association analysis, omics data integration and data visualization etc. A wide variety of publication quality graphs can be prepared in EasyOmics using R plot engine with point-and-click. EasyOmics is a platform-independent software that can be run under all operating systems with a docker container for easy installation. It is freely available to non-commercial users at docker hub https://hub.docker.com/repository/docker/yuhan2000/gwas/general.