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{bio,medical} informatics

Sunday, March 12, 2000

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The Boston Globe a genome greenmailer?
"In the end, the difference between J. Craig Venter's model and that of Michael Bloomberg is that Bloomberg's head start in business was legitimate. It began with something he really did own, through licensing fees: the data on a huge set of privately owned but publicly traded government bonds.

Venter, on the other hand, wants the Genome Project to grant him a few years' corner on the genome data simply because he muscled in and now threatens to make trouble for all concerned - a business model more like corporate greenmail than legitimate entrepreneurship."

"But one Bill Gates is enough. Let the biotech Bloombergs make their millions downstream from the data itself. The human genome data set is a classic example of the fruits of basic research - its preservation as public knowledge is the greatest test case of the new era. We should ensure its availability to all those who wish to work with it, even if it takes an act of Congress - which, in the end, it probably will."
Financial Post How the market found the map of the human genome
"A complicated war is clearly under way, a war over science, business and ideological strategies. The U.S. government may ultimately determine the victor. But the overall message should be clear. Celera's drive to make profit, as a private competitive company, has already produced major benefits. These include a flood of investment capital drawn from stock market investors (Celera shares, once at $7, are now above $200). A great scientific leap will be achieved years ahead of plan. More companies are entering the field. And Celera, with its new capital, intends to begin packaging its genome science into programs that will be accessible to scientists, researchers, biotech and pharmaceutical companies -- proving, once again, that the private system works better than the public."

[ 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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