Visomics is an open-source tool for the exploration of biological omics data with a focus on genomics, proteomics, transcriptomics, and metabolomics.  This innovative tool provides researchers with powerful statistical methods, intuitive visualizations, and pre-existing chemical pathway diagrams necessary for the analysis and evaluation of relationships and behaviors among large numbers of analytes and biomarkers. Visomics is a flexible, user-friendly, end-to-end software solution that incorporates data ingestion, analysis and visualization tasks for a variety of data types and sizes.  

Clinical researchers are using Visomics to perform deep analysis in the areas of reproductive and perinatal health, cardiovascular disorders, and breast cancer with the goal of gaining new insight into disease pathogenesis and developing preventative, diagnostic, and therapeutic treatment strategies. By facilitating data analyses and data mining activities for hypothesis generation and testing, Visomics will enable more widespread use of omics data and ultimately lead to improved, personalized medicine.

Visomics development is supported by Kitware Inc., the Hamner Institute for Health Sciences, the University of Washington, and the University of North Carolina at Chapel Hill.