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{bio,medical} informatics

Monday, June 04, 2001

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"What both the Blueprint and DoubleTwist efforts point to is an era in which scientific discoveries are just as likely to come from parsing trillions of bits of data that already exist somewhere in a computer as they are to be discovered through finely tuned experiments in a wet lab. The efforts also signal a much more collaborative type of science than has ever before existed. As Kovac put it, "Biology is no longer about researchers in their laboratories, but a more dynamic community living and breathing in an age of interconnectedness." If Kovac, Couch, and others can pull off their grand bioinformatics projects of connecting the most brilliant minds in biology, they might turn out to be right that the impact of this new technology during the next decade will be greater than what we have seen so far from the Internet."

redux [05.19.01]
Nature: Web Debates Evolution and scientific literature: towards a decentralized adaptive web
"As our systems grow more sophisticated, we will see applications that support not just links between authors and papers but relationships between users and information repositories, and users and communities. What is required is a mechanism to enable communication between these relationships that leads to information exchange, adaptation and recombination. A new generation of information-retrieval tools and applications are being designed that will support self-organizing knowledge on distributed networks driven by human interaction (see Active Recommendation Project at Los Alamos. For example, to support trans-disciplinary science we stimulate different databases to learn new terms and adapt existing keywords to the categories recognized by different communities. This capability would allow a physicist or chemist to collaborate with colleagues in the life sciences without having to learn an entirely new vocabulary."

"Through the use of these new tools, we will derive a shared knowledge structure that is based on users and usage in addition to that provided by author citations. Thus, the aggregated connections that readers make between papers and concepts will provide an alternative conceptualization of a given knowledge space. Such techniques will be coupled with classical search and retrieval methods, and these capabilities have an obvious utility for discovering and supporting evolving knowledge from these networks."

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“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.”

BIOINFORMATICS IN THE 21st CENTURY

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