Getting poster data...
Carsten Goerg (Georgia Institute of Technology, Atlanta, United States of America)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 Jigsaw, which acts like a visual index on a document collection and supports biologists in investigating and understanding connections between biological entities. 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. The attached image shows two views a biologist generated while exploring a collection with about 1500 publications retrieved from a PubMed search using the query “tgfb2.” The List View at the top shows connections between entities through connecting lines and background shading. The Word Tree View at the bottom shows sentences in the abstract collection containing “tamoxifen.” These and other representations h