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BioGRID project

Purpose of the BioGRID project is to conduct a trial for the introduction of a Grid approach in the biotechnology industry. This trial consists of two major steps:
the integration of three existing technologies and
the production of a working prototype.

Healthgrid

Toward a synergy between bio-informatics and medical-informatics through the creation of a common biomedical-Grid offering interoperability of genomics, proteomics and clinical data, with knowledge discovery tools taking advantage of data interoperability and distributed biomedical information system.

Pharmaceutical R&D: Grid Computing - Intel Case study

Distributed Desktop Grid, PC Refresh
Help Novartis Enhance Innovation

Clinical Development Modeling and Simulation

GlaxoSmithKline
United Devices Case Study
Life Sciences: Clinical Development

One such concept has been the self-managing data center, often referred to as "autonomic computing

One such concept has been the self-managing data center, often referred to as "autonomic computing
One such concept has been the self-managing data center, often referred to as "autonomic computing," the term IBM Corp. favors. Here, the goal is to design and implement systems that monitor themselves, repair themselves as necessary, protect themselves from external threats and even re-route their own resources to best meet business needs. (That last factor echoes the promise of another red-hot phenomenon, on-demand — or utility — computing.)

i3ARCHIVE

With NDMA, rapidly growing demand presents no problem. The archive grows in processing and storage power as more demand comes online. This is due to a rapidly scalable back-end processor bank that can be expanded to meet the need.
Image processing can be augmented; storage can be expanded, in direct proportion to the load being placed on the archive. In other words, sudden heavy use will not slow the system. Ongoing technological development promises a secure future for on-demand technology. It's here to stay.

Grid as a bioinformatic tool, Jacq et al., 2004, parallel computing 30, 1093-1107

The grid is a promising tool to resolve the crucial issue of software and data integration in biology. In this paper, we have reported on our experience in the deployment of bioinformatic grid applications within the framework of the DataGrid project. These applications inquired the potential impact of grids for CPU demanding algorithms and bioinformatics web portals and for the update and distribution of biological databases.
Grid computing tests showed how resources sharing improves the current practice of bioinformatics.

Grids and Biology, Professor Carole Goble, University of Manchester, UK

Grids and Biology
A take on the Grid
Issues in Bioinformatics for Grid
Various BioGrids
Applicability of Grid to Biology
Reality check

North Carolina BioGrid

The NC BioGrid project was established in the Fall of 2001 to research and implement new grid computing technologies that will enable researchers and educators throughout North Carolina to take full advantage of the genomic revolution.

The vision for the NC BioGrid was provided by the High Performance Computing and Data Storage Focus Group of the NC Genomics and Bioinformatics Consortium (NCGBC). The NCGBC is facilitated through the NC Biotech Center.

The Web: Tracking 'virtual tumors'

CHICAGO, Nov. 24 (UPI) A team of scientists is developing a "virtual tumor," a computer model viewed over the Internet by cancer researchers around the globe. It is used to observe the tumor as it develops from a single cell organism to a neoplasm, an uncontrolled growth of tissue.

The cutting-edge project, in the planning stages right now, and others like it, promise to harness the power of the Internet in the battle against cancer and in other crucial scientific endeavors in the coming years, experts told UPI's The Web.

Last week that proposal came a step closer to reality, as IBM Corp. announced it is working with Massachusetts General Hospital, Harvard University and the Massachusetts Institute of Technology on a grid-computing project that will help cancer researchers share information.
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