Translational Clinical Bioinformatics
Translational bioinformatics involves collecting, storing, analyzing, and interpreting genome and biomedical data for improvement of human health. This multidisciplinary area of informatics focuses on the interface between bioinformatics and clinical research.
Genome sequencing is one of the main components that assists in the practice of precision medicine and informatics plays a significant role in providing the infrastructure and tools to manage and analyze the complex genomics data. The clinical interpretation of molecular alterations is at the heart of providing the value of precision medicine. We at CB2 are working on setting up a secure infrastructure for storage and analysis of genome sequencing data from patients in association with the clinical data. We aim to transform unusable unstructured data into secure structured actionable data for data driven insights. The goals are to improve the information flow between clinical and molecular data and implement methods that can utilize omics and clinical data for discovery. There are many elements to this initiative, as to how the data is accessed, processed and communicated within the infrastructure and between systems, which includes security, data interoperability, data standards and administrative as well as regulatory compliance. We are currently evaluating existing standards, identifying the gaps, and making changes that will be beneficial to the biomedical research at UAHS. Our beginning efforts are with the projects in the Oncology space. As we develop the translational bioinformatics efforts, other areas of biomedical research will be included in the initiative too.
For any queries, please reach out to:
Ritu Pandey, MSc, PhD
Associate Director, Translational Clinical Bioinformatics
Associate Research Professor, Cellular and Molecular Medicine
ritu@arizona.edu
A translational bioinformatics symposium will be held in the Spring 2025 at U of A. Details will be announced soon.