snowdeal.org > {bio,medical}informatics: Genetic Engineering News: NIH Awards Grant to Stanford to Launch Biomedical Computation Center

{bio,medical} informatics

Friday, September 30, 2005

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Genetic Engineering News NIH Awards Grant to Stanford to Launch Biomedical Computation Center

"The National Institutes of Health announced Sept. 29 that it has awarded the Stanford University School of Medicine a grant of $18.8 million to develop a National Center for Biomedical Ontology along with several other collaborating institutions. The goal of the center is to design and implement a new generation of computer systems that will enable researchers to share, compare and analyze data gathered from large biomedical experiments.

The center will be led by Mark Musen, MD, PhD, professor of medicine (medical informatics), whose Stanford research group created Protege, the most widely used ontology-development software in the world."

The National Center for Biomedical Ontology Overview
"The National Center for Biomedical Ontology (cBiO) is a consortium of leading biologists, clinicians, informaticians, and ontologists who develop innovative technology and methods that allow scientists to create, disseminate, and manage biomedical information and knowledge in machine-processable form. The Center's resources include the Open Biomedical Ontologies (OBO) library, the Open Biomedical Data (OBD) repositories, and tools for accessing and using this biomedical information in research. The Center collaborates with biomedical researchers conducting Driving Biological Projects (DBPs) to enable their research and to stimulate technology development in cBiO. The Center is undertaking outreach and educational activities to train the future generation of researchers in using biomedical ontologies and cBiO tools to enhance scientific discovery."

redux [05.01.00]
Stanford Medical Informatics Preprint Archives Ontology-Oriented Design and Programming
"In the construction of both conventional software and intelligent systems, developers continue to seek higher level abstractions that both can aid in conceptual modeling and can assist in implementation and maintenance. In recent years, the artificial intelligence community has placed considerable attention on the notion of explicit ontologies -- shared conceptualizations of application areas that define the salient concepts and relationships among concepts. Such ontologies, when joined with well defined problem-solving methods, provide convenient formalisms for modeling and for implementing solutions to application tasks. This chapter reviews the motivation for seeking such high-level abstractions, and summarizes recent successes in building systems from reusable domain ontologies and problem-solving methods. As the environment for software execution moves from individual workstations to the Internet at large, casting new software applications in terms of these high-level abstractions may make complex systems both easier to build and easier to maintain."

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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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