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{bio,medical} informatics

Tuesday, May 11, 2004

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find related articles. powered by google. Macworld Apple's $200,000 research-donation

"Apple will donate a Workgroup Cluster for Bioinformatics to five of "America's most important, innovative and visionary scientific research projects."

"The purpose of program is to provide innovative scientists with computer hardware that will enhance their ability to conduct their research in unique ways," according to Apple."

redux [03.23.04]
find related articles. powered by google. The Mac Observer Xserve G5 Shipping, Apple Introduces Bio Sciences Cluster

"The Xserve G5 uses a new version of the G5 processor from IBM that uses less power and generates less heat than the version used in Apple's current Power Mac G5 models. The Xserve line itself is a major component of Apple's push into the new server-oriented markets such as rendering farms, IT server rooms, and even scientific uses, which brings us to Apple's other announcement today, a new bio sciences cluster.

The company has announced the Apple Workgroup Cluster for Bioinformatics. The Cluster is based on the Xserve G5, and, as the name implies, is configured specifically for bio sciences. The solution comes with a software package from The Bio Team."

redux [02.12.04]
find related articles. powered by google. Macworld Scientists: The Latest Mac Converts

""For our [Mars] landing site work, we always get the highest-end desktop Mac we can find, so we just got one of the G5s with dual 2-GB processors and 8 GB of RAM," Matt Golombek, a planetary geologist at NASA's Jet Propulsion Laboratory, told the E-Commerce Times."

""If you pull up a shot of NASA after the [first] Mars landing and look at the desktops, you'll see a couple of PC laptops there, but you'll see more PowerBooks," Jon Rubinstein, senior vice president for hardware engineering at Apple, told the E-Commerce Times."

[ 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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