Quantitative 'Omics Core

ABSTRACT QUANITATIVE OMICS (QOC) CORE: The field of precision medicine offers the promise of improving the health of patients through targeted treatments and therapeutics based on the unique characteristics of the individual. Due to its nature, precision medicine studies frequently require custom solutions and novel statistical/bioinformatics methods. For the same reason, they require cross-disciplinary data scientists with a “team-science” background to facilitate both a comprehensive understanding of the needs of domain experts and the requisite technical expertise to support those needs by applying state-of-the-art data science methods and, when necessary, develop custom solutions. The Quantitative ‘OmiCs (QOC) Core has been formulated to address these needs by providing high-quality data science support to the Kansas Institute of Precision Medicine (KIPM). In this Phase 2 application, the QOC Core will seek to expand its expertise to include artificial intelligence, deep-learning, analysis of proteomic and metabolomic data, and molecular modeling guided by the new RPLs associated with this application. In addition, the QOC Core will collaborate with other institutional cores to pool resources, expanding its repertoire of research supporting tools and technologies and enhance its computing infrastructure. This serves both the data science needs of the RPLs and contributes to the long-term sustainability of the QOC Core by broadening the scope and quality of its services. Finally, this Core will seek to recruit users beyond the KIPM to assure its long-term operation.