Computer Science

Enormous amounts of data are being generated in health care, computational biology, homeland security and other areas, but analyzing these massive and unstructured data sets has proven cumbersome and difficult. An emerging research field known as data and visual analytics is helping sift through such mountains of information to find and put together individual pieces of a picture.
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Researchers are collecting vast amounts of diverse genomic data with ever-increasing speed, but effective ways to visualize these data in an integrated manner have lagged behind the ability to generate them. To address this growing need, researchers at the Broad Institute have developed the Integrative Genomics Viewer (IGV), a novel and freely available visualization tool that helps users simultaneously integrate and analyze different types of genomic data.
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As the size of complex scientific data sets grows exponentially, so does the need for scientists to explore the data visually and collaboratively in ultra-high resolution environments. To that end, the California Institute for Telecommunications and Information Technology (Calit2) has unveiled the highest-resolution display system for scientific visualization in the world at the University of California, San Diego.
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The world's leading network scientists will share their latest research at a conference hosted by the New York Hall of Science on May 20 - 25.
NetSci 2007: International Workshop and Conference on Network Scien
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