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. 

Translational Bioinformatics looks to take the ever increasing volume of biomedical data and use it to improve human health. It is of particular relevance to precision medicine, the idea of adapting care and treatment to individual patients. 
The last decade has seen an explosion in the information available about the health and physiology of people. From ever-cheaper and ever-faster genetic sequencing, through sophisticated molecular analysis of metabolites to personal fitness and medical devices, we are faced with a cornucopia of information that could potentially be used. But understanding this information is not straightforward. There are practical issues of handling and comparing such massive and varied data, and scientific issues in how to best interpret and understand the patterns seen.

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




Image result for biogen idecOPTIMISE 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

Read more about the project here