The 2013 Bio-IT World Conference will be held from April 9-11 in Boston. The event represents a unique opportunity for visitors to learn how informatics plays a key role in multiple disciplines within life sciences. Today life sciences is evolving as it tries to cope with the deluge of data that is generated from rapidly evolving new technologies. As data-intensive technologies take hold in a variety of research areas in life sciences, finding ways to develop efficient tools that can help analyze data is a major challenge for the IT industry. As a leader in the evolving high performance computing industry, Cray is creating unique solutions that leverage big data and supercomputing know-how.
Cray’s presence at the Bio-IT World Conference
The life sciences community is becoming more dependent on data-intensive research as a means to achieve knowledge discovery gains. As life sciences continue to evolve, the best way to support knowledge discovery increasingly depends on being able to process and analyze extremely large quantities of data. Carlos P. Sosa, Manager of the Chemistry and Life Sciences Segment at Cray, will present on how Cray’s high-performance computing systems are contributing to major knowledge discovery advances in life sciences.
Sosa’s presentation – Building Bridges: Evolving High Performance Computing in the Life Sciences – will take place at 2:15pm on Wednesday, April 10. He will focus on how Cray is engaging the scientific community to develop better high performance computing solutions that enable enhanced research and develop next-generation applications.
An example in aligning science and computing will also be presented at the 2013 Bio-IT World Conference when Jack Wells, Director of Science, Oak Ridge Leadership Computing, presents about the research being done using the Cray Titan supercomputer.
Considering Cray’s impact on life sciences
Cray has had a major impact on the life sciences community by helping researchers complete important projects. A few of these include efforts from research groups at the University of Chicago through the use of the Beagle supercomputing system, such as:
- Taeyoon Kim’s group at the University of Chicago – Using computational modeling to support research exploring how a cell contracts with an external matrix.
- Aaron Dinner’s group at the University of Chicago – Testing new software with the help of high-performance computing systems.
- Rick Stevens’ group at the University of Chicago and Argonne National Laboratory – Built flux balance analysis (FBA) based metabolic models for all sequenced microbes using high-performance computing.
- Maryellen Giger’s group at the University of Chicago – Has used high-performance computers for advanced breast cancer image analysis and computer aided diagnosis.
To learn more about Cray’s work in the life sciences community stop by booth 334 at the Bio-it conference.