Translational Bioinformatics is the development of storage, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical data, and genomic data, into proactive, predictive, preventive, and participatory health. Here at the DSI our translational bioinformatics team work on an array of projects.
The Translational Bioinformatics group engages with these problems on a number of levels, from the lab bench to the hospital bedside. We have developed a number of software platforms to store and analyse complex biomedical data, using computationally intense methods. In collaboration with hospitals and clinicians, we gathering information on different diseases and conditions, making large cohorts for understanding complex conditions. Finally, we are developing new algorithms for analysis, including graphical models and algorithms for integrating multiple levels of information.
Projects concerning Translational Bioinformatics
U-BIOPRED: Unbiased BIOmarkers in PREDiction of respiratory disease outcomes
Using samples and medical information from hundreds of adults and children, the project aims to identify different sub-types of severe asthma.
Check out the U-BIOPRED website here.
European Translational Information and Knowledge Management Services (eTRIKS)
We are developing a sustainable open-source data and knowledge management platform to support translational research. TranSMART, an open-source knowledge management platform combining a data repository with a suite of search and analysis tools, is a core component of the eTRIKS platform development.
See the eTRIKS website here.
Check out the tranSMART foundation here.
OPTIMISE is a Joint Working collaboration between Imperial College London and the biopharmaceutical company Biogen Idec. The OPTIMISE project develops and deploys tools for collecting a wide range of data from people with MS in addition to routine clinical assessments. The project works to integrate brain scans, genomics data, biomarkers from blood samples, self-reported quality of life measures and data from sensors that track movement into a single database