Genre: Information/Explanation

Arguably the richest source of information in biomedicine is the biomedical literature . We are developing methods to extract this information , using approaches that automatically extract words and phases from documents , and combine them with sequence , structural and other experimental data to predict such features as protein-protein interactions , protein subcellular location and other features of protein / gene function . Manchester hosts , and several of our informatics groups are involved in , the National Centre for Text-Mining . We are also exploiting ontologies to construct integrated bioinformatics analyses over disparate , heterogeneous information sources , as well as applying description logic approaches to a variety of data-capture issues in biology .