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Two groups of Computation Institute researchers at the U.S. Department of Energy's (DOE) Argonne National Laboratory earned special awards from the office of the U.S. Secretary of Energy for addressing the global health challenges of Ebola and cancer.

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An international team of scientists including the Computation Institute has determined the 3-D atomic structures of more than 1,000 proteins that are potential targets for drugs and vaccines to com

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The U.S. Department of Energy's (DOE's) Exascale Computing Project (ECP) announced its first round of funding, including projects from CI Senior Fellows on astronomy, cancer, and urban science.

The CI’s 2014-15 Inside the Discovery Cloud speaker series focused on collaboration, presenting pairs of speakers who are working together to unlock new knowledge through computation. Attendees heard about how new computational approaches are changing medicine, biology, social science, public policy, and more, and discover opportunities for new collaborations and student research projects. View the videos of these stimulating talks.

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Andrey Rzhetsky, professor of medicine and human genetics, isn’t a computer scientist by trade. But the messy complexity of biomedicine is a problem that fairly cries out for analysis by computation. It was also the perfect springboard for him to discuss the overarching theme in his work in his talk for the Visualization Speaker Series, “Adventures in Analysis of Large Biomedical Datasets”: getting data for complex networks, combining data sets, and drawing from them some “non-obvious conclusions.”

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Text mining is often discussed in the context of humanities research or marketing, where an enormous pool of text can be computationally sifted for new insight or targeted advertising.

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“Big data,” as vague and buzzwordy as the term is, has arguably led to major changes in finance, advertising, and elections.

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The microbiome is currently one of the most exciting areas of research, as scientists uncover new knowledge about the invisible microbial communities living in our bodies, on our skin, and in our e

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When the metagenomics platform MG-RAST was launched in 2007, data was scarce.

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The greatest scientific challenges of our time aren't contained by national borders.