The Bio-Health Informatics group from the School of Computer Science combines biological and genetic information with clinical data and computer information systems. Our work optimises the use of data, information, and knowledge across molecular biology, clinical e-science and health care.
Advances in technology since the 1970s have made bioinformatics one of the fastest growing biological disciplines. Researchers in the area have now recorded over one million DNA and protein sequences. This sheer volume of raw data hides a wealth of potential knowledge, on everything from protein structure to disease mechanisms.
Biologists and the pharmacists face the challenge of extracting useful information from these sequences. When combined with clinical and health data, there is a vast amount of information that can be gleaned and deduced using computer science, information theory, and biology. By helping develop standards, systems and shared data representations, they support the vision of post-genomic medicine.
His research has followed a theme of the computer science associated with managing and using complex information in inter-disciplinary settings, from early research into presenting complex information in audio to blind people, through research into tools for data analysis in e-Science to his principle research area in biomedical semantics. The research into semantically describing and managing biomedical data has had a counterpart in my activity within e-Science research. I led the user activity of the Taverna Workflow Workbench (led by Carole Goble) in analysis of biomedical data.