Getting poster data...
Carsten Görg, Hannah Tipney, Karin Verspoor, William A Baumgartner Jr., K. Bretonnel Cohen, John Stasko, Lawrence Hunter (Center for Computational Pharmacology, University of Colorado Denver School of Medicine, USA; School of Interactive Computing, Georgia Institute of Technology, USA)Finding relevant publications in the large and rapidly growing body of biomedical literature is challenging. Search queries on PubMed often return thousands of publications and it can be a tedious task to filter out irrelevant publications and choose a manageable set to read. We have developed a human-centered visual analytics tool, named Bio-Jigsaw, which acts like a visual index on a document collection and supports biologists in investigating and understanding connections between biological entities. Bio-Jigsaw identifies biological entities such as genes and pathways and visualizes connections among them via multiple representations. Connections are based on co-occurrence in abstracts and also are drawn from ontologies or annotations in digital libraries. We demonstrate how Bio-Jigsaw can be used to analyze a PubMed search query on "tgfb2" resulting in over 1500 primary papers.