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{bio,medical} informatics

Thursday, April 25, 2002

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find related articles. powered by google. BBC Computing power brought online

"The British arm of an ambitious plan to harness the computer processing power of the country's universities has being officially opened."

"The centre will co-ordinate national and international work to get computers connected to the net to work together on scientific problems.

"We have only begun to investigate how the Grid can help tackle some of the big challenges facing the scientific community," said Professor Malcolm Atkinson, director of the Centre."

find related articles. powered by google. Grid Computing Planet Grid Computing May Transform Life Sciences Research

""Internal Grids are an enormous untapped resource," said Scott Kahn of Accelrys. "It's already in-house, it's already running, and it's already being maintained. It's rare that in a day, you can change your processing power by a thousand times."

Stuart Henderson of PwC Consulting said life sciences' evolving R&D model will be a "big driver" of Grid computing's growth. The emerging "learn and confirm" model will stand the old R&D model on its head by placing in silico research first and research on patients and in laboratories second."

redux [04.02.02]
find related articles. powered by google. CIO Power Pool

"For example, Baird claims that one Platform customer, a bioinformatics company, planned to spend approximately $3 million on new hardware to expand its computing resources. Instead it spent around $150,000 to install a grid, and it no longer needs to buy the new hardware.

Despite the potential benefits, grid-ready applications remain a rare bird. The technology best serves problems that are computationally intensive using algorithms that developers can break down into discrete computational units, such as genetic research where scientists must mathematically analyze thousands of genes in combination to find matches."

redux [03.04.02]
find related articles. powered by google. Physics Today The Grid: A New Infrastructure for 21st Century Science

"It is commonly observed that people overestimate the short-term impact of change but underestimate long-term effects.10 It will surely take longer than some expect before Grid concepts and technologies transform the practice of science, engineering, and business, but the combination of exponential technology trends and R&D advances noted in this article are real and will ultimately have dramatic impacts.

In a future in which computing, storage, and software are no longer objects that we possess, but utilities to which we subscribe, the most successful scientific communities are likely to be those that succeed in assembling and making effective use of appropriate Grid infrastructures and thus accelerating the development and adoption of new problem solving-methods within their discipline."

redux [02.19.02]
find related articles. powered by google. The New York Times Grid Project to Wed Web Services
[requires 'free' registration]

"A worldwide computing project known as grid, whose long-term vision is to bring the power of supercomputing to individuals, is taking a step out of the laboratory and into the commercial mainstream."

"The grid researchers in the labs have used their technology to enable far-flung groups of scientists to collaborate on complex projects that require lots of computing firepower including climate modeling, high-energy physics, genetic research and earthquake simulations."

redux [02.06.01]
find related articles. powered by google. EyeForPharma GRID and distributed computing in pharmaceutical R&D

"Sixty-nine percent (69%) of respondents said they were addressing the lack of processing power by deploying GRID, clustered or distributed computing technologies. Of those, 100% are utilizing clusters. And according to the study, 69% of those are Linux clusters.

"In addition, 46% are deploying distributed computing technology and 23% are utilizing GRID computing somewhere in their organization."

redux [11.28.01]
find related articles. powered by google. News.Com IBM computers picked for cancer research

"IBM will supply the University of Pennsylvania and four hospitals with computers that will link into a computing "grid" to check for breast cancer, the company will announce Wednesday.

The grid will be used to detect breast cancer in patients, store mammograms in digital form and identify populations that are particularly susceptible, the company said in a statement. The system can be used, for example, to compare a new mammogram to a previous year's image to detect changes.

IBM, along with rivals such as Sun Microsystems and Compaq Computer, have been backing grid computing, which joins computers and storage systems into a large pool of computing power.

redux [11.21.01]
find related articles. powered by google. Scientific Computing World Scientific sharing across computer networks in USA

"The US National Science Foundation has announced a $12 million programme - called the NSF Middleware Initiative (NMI) - to develop middleware: software that allows scientists to share applications, scientific instruments and data, and collaborate with their colleagues across high-performance networks.

The effort will build on the success of the Globus project in developing middleware tools for grid computing, and will integrate Globus and other emerging middleware components into a well-tested, comprehensive, commercial-quality, middleware distribution package that runs on multiple platforms. These middleware distributions will be disseminated to research labs and universities worldwide."

redux [11.12.01]
find related articles. powered by google. ZDNet News New boost for open-source supercomputing

"Platform Computing, a company that tries to harness the collective computing power on computer networks, has signed a deal to commercialize an open-source supercomputing project.

Platform is working with the Globus Project to commercialize the Globus Toolkit for governing the use of computers and storage systems joined into a large computing "grid," Platform said Wednesday."

"Grid computing, though, often uses higher-powered computers than mere desktop PCs, and has attracted the interest of IBM, which thinks corporate customers as well as academics will use grid methods. IBM is working with Globus to boost this expansion.

Grid computing has long held potential for some types of computing tasks--typically those that don't require as much communication between one computing task and another. For this reason, they don't replace single mammoth supercomputers such as those from Cray. However, grid computing is popular among pharmaceutical companies and others."

find related articles. powered by google. Technical Report, Monash University The Virtual Laboratory: Enabling On-Demand Drug Design with the World Wide Grid

"Computational Grids are emerging as a popular paradigm for solving large-scale compute and data intensive problems in science, engineering, and commerce. However, application composition, resource management and scheduling in these environments is a complex undertaking. In this paper, we illustrate the creation of a virtual laboratory environment by leveraging existing Grid technologies to enable molecular modeling for drug design on distributed resources. It involves screening millions of molecules of chemical compounds against a protein target, chemical database (CDB) to identify those with potential use for drug design. We have grid-enabled the molecular docking process by composing it as a parameter sweep application using the Nimrod-G tools. We then developed new tools for remote access to molecules in CDB small molecule database. The Nimrod-G resource broker along with molecule CDB data broker is used for scheduling and on-demand processing of jobs on distributed grid resources. The results demonstrate the ease of use and suitability of the Nimrod-G and virtual laboratory tools."

[ rhetoric ]

Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.


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