Resource Statement

The University of Virginia Bioinformatics Core is a centralized resource that provides expert bioinformatics, statistical, and data science support to advance interdisciplinary biomedical research. The Core delivers end-to-end services spanning experimental study design, power and throughput estimation, and standard to advanced analyses of high-throughput molecular, imaging, and clinical data, as well as the development of novel computational and AI/ML-based methods. Apart from providing standard bioinformatics analysis services the core has expertise in accessing, integrating, and analyzing both restricted and unrestricted molecular, clinical, and electronic health record (EHR) data, enabling large-scale integrative analyses and meta-analyses. Services are provided to investigators within and outside UVA through both grant-funded and chargeback-based projects, supporting the management and analysis of complex, large-scale datasets. The mission of the Bioinformatics Core is to maintain a robust computational infrastructure and analytical expertise that measurably enhances investigators’ ability to publish high-impact research and secure extramural funding. The Core is directed by Pankaj Kumar, PhD, Associate Professor, who has interdisciplinary expertise and more than 50 peer-reviewed publications, including first-author papers in Science and Science Advances. Core activities are supported by four full-time and two part-time PhD- and Master’s-level staff, enabling timely, high-quality analytical support. The core is also equipped with the necessary computational infrastructure that is essential for analyzing high-throughput biological data (including shared access to an HPC cluster with >5,000 computing cores, >30,000 GB RAM, and >10 PB disk space, and dedicated access to several high-memory multicore development servers).