Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare (2 Volumes)

Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare (2 Volumes)

Mario Cannataro (University Magna Graecia of Catanzaro, Italy)
Release Date: May, 2009|Copyright: © 2009 |Pages: 960
DOI: 10.4018/978-1-60566-374-6
ISBN13: 9781605663746|ISBN10: 1605663743|EISBN13: 9781605663753
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Description & Coverage
Description:

Grids 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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • 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
Reviews and Testimonials

The book surveys state-of-the art research, methodologies and applications of Grid technology in different fields of Life Sciences, from basic science to clinical and healthcare applications.

– Mario Cannataro, University Magna Graecia of Catanzaro, Italy
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Editor/Author Biographies
Mario Cannataro has been an associate professor of computer engineering at University “Magna Græcia” (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 has published a book and more than 100 papers in international journals and conference proceedings. Mario Cannataro is a co-founder of Exeura and is a member of ACM and IEEE Computer Society.
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Editorial Review Board
  • Ignacio Blanquer, Universidad Politécnica de Valencia, Spain
  • Marian Bubak, AGH University of Science and Technology, Poland
  • Vincent Breton, LPC Clermont-Ferrand, France
  • Vicente Hernández, Universidad Politécnica de Valencia, Spain
  • Yannick Legre, CNRS/IN2P3 and HealthGrid, France
  • Luciano Milanesi, Institute of Biomedical Technologies – CNR, Italy
  • Paolo Romano, National Cancer Research Institute, Italy
  • Richard Sinnott, National e-Science Centre at the University of Glasgow, UK
  • Tony Solomonides, University of the West of England, UK
  • Domenico Talia, University of Calabria, Italy