The study of health and disease through multi-omics research generates vast amounts of interconnected data. Unlocking their secrets requires complex bioinformatic exploration.
This analysis is accelerated by a dedicated and flexible software application that is not only reliable and provides reproducible results, but also facilitates collaboration between project investigators and their teams. To this end, Evotec has developed PanHunter, a platform that combines peer-reviewed statistical analysis algorithms with the potential of machine learning and artificial intelligence. With an easy-to-use graphical interface, it enables in-depth analysis of multi-omics datasets with the flexibility to handle just a few inputs or correlate millions of data points with ease. PanHunter is web-based, a Software-as-a-Service (SaaS) platform.
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