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Knowledge Engine is ready to accelerate genomic research

January 31, 2020

Five years ago, a team of computer scientists, biomedical researchers, and bioinformaticians set out to bring the power of collective knowledge to genomic research. Their new publication in PLOS Biology shares the culmination of that effort, an analytical platform that guides researchers through the process of interpreting complex genomic datasets.


January 31, 2020


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Genomics Among the Biggest of Big Data, Experts Say

July 7, 2015

Each cell in the body contains a whole genome, yet the data packed into a few DNA molecules could fill a hard drive. As more people have their DNA sequenced, that data will require massive computational and storage capabilities beyond anything previously anticipated, says a new assessment from computational biologists and computer scientists at the University of Illinois and Cold Spring Harbor Laboratory.


July 7, 2015


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Cutting Big Data Down to a Usable Size

July 6, 2015

Next generation DNA sequencing technologies have turned the vision of precision medicine into a plausible reality, but also threaten to overwhelm computing infrastructures with unprecedented volumes of data.  A recent $1.3M award from the National Institutes of Health will allow researchers at the University of Illinois and Stanford to help address this challenge by developing novel data compression strategies.


July 6, 2015


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Illinois, Mayo Clinic Collaborate to Revolutionize Genomic Data Analysis

October 9, 2014

Today’s researchers, working with the advantages of new, sophisticated laboratory technology, have unleashed a river of valuable biomedical data—much more, in fact, than many of them have the tools to properly analyze, or the capacity to store.  In 2012, the National Institutes of Health created the Big Data to Knowledge (BD2K) initiative to enable efforts to harness the potential of this flood of information.  As part of the first wave of BD2K funding, the University of Illinois at Urbana-Champaign and


October 9, 2014


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