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Preparing Your Life Sciences Organization for Bioinformatics

Overview Studying the relationships of proteins to disease states requires a new generation of information systems and computational resources to manage extraordinary amounts of information. The complexity associated with discovering, testing, and packaging new molecules requires an IT infrastructure that enables the protection, management, and sharing of this mission-critical data. In addition, market leadership in the development and commercialization of drugs and therapeutics will be determined by a life sciences enterprise's ability to store, process, distribute and manage complex bioscience, clinical trial and market research data.
This paper recommends a model architecture for next generation bioinformatics information management requirements including attributes for availability, security, data protection, data mobility, data repurposing, and data sharing.

Further White Paper Details
Publisher	EMC	File Format	PDF, requires Acrobat Rdr 5
Date Published	July 2001	Downloads	191
Format	White Papers
Topics	Data Visualization, Biomedical, Biometrics

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