Translational bioinformatics transforms basic science discoveries into clinically applicable knowledge. Leveraging a wide range of biomedical data, from next-generation sequencing to millions of electronic healthcare records, researchers develop predictive models to analyze and understand the human system.
Translational bioinformatics focuses on taking biological discoveries made in the lab and finding ways to incorporate those findings in a clinical setting. Researchers in this area work closely with data from patient studies and disease biology to build predictive models and perform extensive analytical functions.
The field includes:
- Using computational and statistical analysis to bridge the gap between basic science and clinical practice
- The application of bioinformatics and computational biology methods to clinical data
- Developing models to translate knowledge generated in model systems (mouse, fly, yeast) into knowledge about human disease
- Using data gathered on patients and human disease and relating it back to basic science principles