One further note to all: Chris Oehmen is associated with Washington State and is from PNNL (Pacific Northwest National Lab) dave David Sigfredo Angulo Faculty DePaul University 312-362-5041 dangulo@cti.depaul.edu
-----Original Message----- From: Angulo, David Sent: Tuesday, October 16, 2007 5:23 PM To: lsg-rg@gridforum.org Cc: 'Abbas Farazdel'; 'Oehmen, Christopher S'; 'John Boyle'; 'Julie Wulf-Knoerzer' Subject: LSG-RG talks on Thursday at OGF 21
Dear all:
Life Science Grid Research Group has two scheduled sessions at OGF this week. Both are in Discovery B on Thursday, Oct. 18. The first is at 9AM the second at 11AM.
Besides an open discussion and group business, we will have two presentations:
You can find slides in the LSG-RG section of gridforum.org
John Boyle of the Institute for Systems Biology will talk in the first session
Title: Requirements for a research enterprise for systems biology
Abstract: In systems biology, and many other areas of research, there is a need for the interoperability of tools and data sources which were not originally designed to be ntegrated. Due to the interdisciplinary nature of systems biology, and its association with high throughput experimental platforms, there is an additional need to continually integrate new technologies. This problem is confounded by the fact that as scientists work in isolated groups, integration is rarely a consideration when building the required software tools. This talk will discuss a light-weight software architecture, based upon a common identity system and dynamically discovered interoperable services, used at the ISB through which scientists can both get access to and analyze the plethora of experimentally derived data. The shortcomings of this architecture will be discussed, as well as the need for the adoption of a new type of data infrastructure which is able to fulfill the requirements of the next generation of high throughput experiment technologies.
Chris Oehmen of Washington State will talk in the second session
Title: High-throughput sequence analysis challenges: what the Grid can do for us
Abstract: Exponentially growing sequence data is driving a revolution in bioinformatics and biology in general but the demand for compute resources is quickly outpacing the capacity of conventional platforms. Taking advantage of the unique capabilities of the grid means new algorithms and programming paradigms are needed. We present some challenges and a vision of high-performance bioinformatics using grid technology.
David Sigfredo Angulo Faculty DePaul University 312-362-5041 dangulo@cti.depaul.edu