Qlucore Omics Explorer facilitates a dynamic, visualization-guided analysis of OMICs data, applicable to various phases of a discovery cycle. With Qlucore you can visualize data, perform quality control, apply statistics, and create graphics for publication such as 3D Principal Component Analysis, heat maps, and various 2D plots. Gene Set Enrichment Analysis (GESA) and gene ontology (GO) are available for biological exploration. Use public data like The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) to test your ideas or generate/narrow new hypotheses. Especially useful for those in the bioinformatics.