Next-generation Resources for High Content Analysis

Listen/download podcast (14:33 min)

This podcast takes a look at the computing resource requirements imposed by today’s new generation of high content analysis instruments, which are capable of generating tens of terabytes of data for each sample run. Discusses computational, storage and archiving approaches to address the “data explosion” that is developing in fields such as high throughput gene sequencing, drug design and development and digital pathology, as well as many others.

Douglas Brown, Ph.D.
Life Sciences Program Manager, Hewlett Packard
Douglas Brown is the Life Sciences Program Manager for HP's Americas SCI/High Performance Computing team. As part of HP's extended Health and Life Sciences team, Doug works with life sciences research customers to understand emerging requirements and to provide the most appropriate compute and storage HPC infrastructure to meet those requirements.  During 2008, he has had a special focus on next-generation life sciences research technologies.  Prior to his role at HP, Doug was trained in both molecular genetics at Stanford University and software engineering at the University of Wisconsin at Madison.

Moderated by:
John Joyce, Ph.D.
Contributing Editor. Scientific Computing
With a doctorate in analytical chemistry, John comes to SC via a convoluted route. After finishing playing with the 88" variable energy cyclotron at Texas A&M University, he spent 10 years with The Dow Chemical Company, where he ended up in the Analytical Sciences' Instrument Development & Automation Group. He is currently the LIMS manager for the Commonwealth of Virginia's Division of Consolidated Laboratory Services. In addition to writing Scientific Computing's monthly Tips & Techniques column, John also coordinates much of the magazine's LIMS/Laboratory Informatics coverage.

Listen/download podcast (14:33 min)