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New center to apply computing to large-scale genomic problems

August 2, 2016

The human genome consists of three billion nucleotides that, when strung together, offer a glimpse into the basic processes of life as well as risk for disease. However, breakthroughs in the use of this genomic information have been limited due to the difficulty in quickly and accurately analyzing a rapidly expanding amount of genomic data.


August 2, 2016


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Ancestral trees determine disease-causing genetic variants

March 21, 2016

Many of our most widespread diseases, such as diabetes, cancer, cardiovascular disease, and mental illness, are associated with variants in our genes. How do these variants in our genomes carry across generations, and how do they ultimately affect our health? University of Illinois researchers are trying to unlock the mystery.


March 21, 2016


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Illinois Initiative Creates Futuristic Facility

December 1, 2013

Illinois Initiative Creates Futuristic Facility

Through the CompGen initiative, the University’s Institute for Genomic Biology and the Coordinated Science Laboratory in the College of Engineering are bringing together top faculty in genomic and computational sciences to create a dynamic team that will develop new technology for genomic breakthroughs.


December 1, 2013


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CompGen: High-Performance Computing for Genetics

October 22, 2013

CompGen: Using High-Performance Computing to Unlock the Mysteries of Genetics

When scientists first mapped the human genome in 2000, the promise of personalized medicine went from a remote dream to a breakthrough within grasp.  Thirteen years later, however, momentum has slowed because the ability to sequence DNA has begun to outpace computing – in particular, the capability of storing, transmitting and, most critically, analyzing the data.


October 22, 2013


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Illinois Bringing Next-Gen Genomics Computing to India

September 23, 2013

Illinois Bringing Next-Gen Genomics Computing to India, as Featured in Magazine Current Science

IGB Director Gene Robinson, with Professor of Engineering Ravishankar K. Iyer, recently spoke in Bangalore, India on a next-generation computing project to allow the analysis of large amounts of genomic sequence data, as reported in the September 25 issue of Current Science.

"The genomic data is doubling every 1.5 years," says Robinson. "The current methods are unable to handle large datasets. Therefore, a new technology framework is required."


September 23, 2013


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