Bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. Bioinformatics is an especially integral part of understanding precision medicine and omics, and the need for strong computational analysis underpins other BIO5 research emphasis areas such as imaging, wearable technology, and ecosystem genomics. Big data approaches reveal patterns that enable the connection across levels of analysis not possible at an experimental scale.
We are poised for major growth in a comprehensive, bioinformatics infrastructure. The National Science Foundation-sponsored CyVerse and the UArizona Center for Biomedical Informatics and Biostatistics bring strengths in extracting actionable knowledge from large data sets. In addition, UArizona’s partnership with Banner Health makes enormous amounts of health data available to researchers to analyze and drive subsequent experiments and drug discovery. New teams are using this data to predict health events like asthma attacks, ultimately reducing health care burdens by focusing on prevention instead of treatment.
At the UA we are managing the massive, one-of-a-kind cyberinfrastructure, CyVerse. This $100 million cyberinfrastructure makes it possible to store, share, and analyze one of the largest data collections in the world. Using CyVerse, teams of researchers can address questions that were previously unapproachable because the computational requirements were too large or complex.