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    Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine and Healthcare (Hardback) Edited by Mario Cannataro

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    DescriptionGrids are currently used in many sectors of life sciences, including basic sciences such as genomics, proteomics, and bioinformatics. "The Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare" brings together state-of-the art methodologies and developments of grid technologies applied in different fields of life sciences. This "Handbook of Research" considers the use of grid technologies to support research and application of each information level where life science research takes place - a useful reference source for academicians, medical practitioners, and researchers involved in all areas of healthcare technologies. It includes: over 25 authoritative contributions by the world's leading experts in grid technologies for life sciences, biomedicine, and healthcare; comprehensive coverage of each specific topic, highlighting recent trends and describing the latest advances in the field; and, more than 1,000 references to existing literature and research on grid technologies for life sciences, biomedicine, and healthcare. A compendium of 230 key terms with detailed definitions, this book is organized by topic and indexed, making it a convenient method of reference for all IT/IS scholars and professionals. It features cross-referencing of key terms, figures, and information pertinent to grid technologies for life sciences, biomedicine, and healthcare.


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  • Full bibliographic data for Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine and Healthcare

    Title
    Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine and Healthcare
    Authors and contributors
    Edited by Mario Cannataro
    Physical properties
    Format: Hardback
    Number of pages: 1054
    Width: 224 mm
    Height: 292 mm
    Thickness: 76 mm
    Weight: 3,515 g
    Language
    English
    ISBN
    ISBN 13: 9781605663746
    ISBN 10: 1605663743
    Classifications

    BIC E4L: HEA
    Nielsen BookScan Product Class 3: S6.6
    Ingram Subject Code: PI
    Libri: I-PI
    BIC subject category V2: PS
    Warengruppen-Systematik des deutschen Buchhandels: 26920
    LC subject heading:
    BISAC V2.8: SCI000000, MED009000
    BIC subject category V2: MQW
    DC22: 570.285
    LC subject heading:
    DC21: 570.285
    LC subject heading:
    BIC subject category V2: UTG
    LC classification: 2009001527
    Thema V1.0: PS, MQW, UTG
    Edition
    1
    Illustrations note
    black & white illustrations
    Publisher
    IGI Global
    Imprint name
    Medical Information Science Reference
    Publication date
    15 June 2009
    Publication City/Country
    Hershey
    Author Information
    Mario Cannataro is an Associate Professor of computer engineering at University �Magna Gr�cia� of Catanzaro, Italy, since 2002. He received the Laurea Degree (cum laude) in computer engineering from the University of Calabria, Italy, in 1993. His current research interests include grid computing, bioinformatics, computational proteomics and genomics, grid-based problem solving environments, and adaptive hypermedia systems. He published a book and more than 100 papers on international journals and conference proceedings. Mario Cannataro is a co-founder of Exeura and is a member of ACM and IEEE Computer Society. Prof. Cannataro can be reached at cannataro@unicz.it.
    Table of contents
    Biomedical application Data mining in proteomics Data provenance in scientific workflows Docking process in drug discovery Grid-based epidemic surveillance system Grid-based tool for comparative genomics Heart failure awareness management system Managing uncertain data Molecular structure determination Multiple repositories for digital content Polymorph prediction data for drug development Resource discovery in health grids