MRI: Acquisition of Computing Equipment for Supporting Data-Intensive Bioinformatics Research at the University of Kansas
Project Award Date: 09-01-2013
The objective of this proposal is to acquire a 100,000-core hybrid cyberinfrastructure to support the fast growing computing needs of bioinformatics research at the University of Kansas. There is a clear trend in biological research toward data driven science, in which large amounts of information coming from instruments for automated sequencing, high throughput screening systems, and other high volume robotic analytical techniques, is mined and analyzed to look
for patterns from which hypotheses can be developed. Along with data-driven science as a source of insights, detailed modeling and simulation of biological structures and processes are becoming indispensable tools to test models, to evaluate experimental methodologies and to interpret their results. These two factors are driving the need for computing capacity in across a broad spectrum of biological research nationally. At KU we observe the same trend. KU research
has experienced steady growth in data-intensive science research program awards that rely on High Performance Computing (HPC) resources. In order to properly support current and near-term research goals and to maintain a forward position in computationally intensive research we propose to construct a computational instrument aimed at leading research in a wide range of research areas with a primary focus on bioinformatics.