Bioinformatics Training in Diabetes, Endocrinology and Metabolic Diseases Research Areas
May 2019 Council
Point(s) of Contact
Arthur L. Castle, Ph.D.
Contemporary medical research is increasingly dependent on high dimensional and high throughput technologies that generate enormous amounts of complex data. NIDDK supported research projects in diabetes, endocrinology and related metabolic diseases have already generated many large datasets that require complex computational analysis. Genomics, transcriptomics, epigenomics, proteomics and metabolomics studies are currently being used to identify biomarkers of disease, to assess multifactorial relationships between cells and tissues, or to reveal systems biology principles underlying the etiology of diseases. The generation and use of these datasets are only likely to increase in the future. Therefore, there is a need to train more future investigators to have these skills in bioinformatics in addition to traditional subject area knowledge. To meet this need, we propose supporting pre- and postdoctoral fellows to obtain interdisciplinary training from outstanding faculty sponsors in bioinformatics and scientific research relevant to the mission of NIDDK's Division of Diabetes, Endocrinology and Metabolic Diseases.