New text-mining tool lets researchers visualize gene, protein, drug and disease connections

Every day, more than 3,000 new abstracts are uploaded to PubMed, the main biomedical literature reference database. Even in a researcher's narrowly-defined field, it is impossible to stay on top of the ever-evolving webs of interconnections between these papers. For example, a new gene is described - might it be relevant to a researcher's specialty? It could take many painstaking hours of searching to discover the answer. Now a new tool developed in the A.C. Tan lab at the University of Colorado