6 November 2008
Royal Holloway, University of London
Scientists across the world generate, collate and analyse huge quantities of numerical data as part of their research. Finding an efficient way to manage this information and to present it in digestible formats for the non-specialist has always been a challenge.
Scientists at Royal Holloway, University of London, have developed BioSynLab, a software tool for the analysis of large metabolic datasets that reduces dramatically the time required for the analysis. It is designed to help scientists visualise, and ultimately prepare for publication, metabolomic data generated from a number of different analytical techniques.
Metabolomics is a term used to describe the emerging science of measurement and analysis of metabolites, such as sugars and fats, in the cells of organisms at specific times and under specific conditions. The field of metabolomics overlaps with biology, chemistry, mathematics, and computer science and is now seen to be the centre of drug discovery and development.
This software has been developed from BBSRC research at Royal Holloway.