Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare, Volume 1

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Cannataro, Mario
IGI Global, May 31, 2009 - Medical - 960 pages
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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.

 

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Contents

A European Healthgrid Roadmap
1
Types of Resources and their Discovery in HealthGrids
30
Data Provenance in Scientific Workflows
46
Provenance Tracking and EndUser Oriented Query Construction
60
Data Protection and Data Security Regarding Grid Computing in Biomedical Research
76
Algorithms Systems and Applications
90
High Performance BLAST Over the Grid
121
Functional Genomics Applications in GRID
149
Hybrid Mock Circulatory System to Test Cardiovascular Prostheses on the Grid
410
Grid Technologies in Epidemiology
426
Epidemiologic Surveillance on the Grid
444
Gridifying Biomedical Applications in the HealtheChild Project
469
eInfrastructures Fostering MultiCentre Collaborative Research into the Intensive Care Management of Patients with Brain Injury
494
Semantic Integration for Research Environments
514
Virtual Laboratory for Collaborative Applications
531
Leveraging the Power of the Grid with Opal
552

A GridBased Tool for Comparative Genomics
168
HighThroughput GRID Computing for Life Sciences
187
Management and Analysis of Mass Spectrometry Proteomics Data on the Grid
206
HighThroughput Data Analysis of Proteomic Mass Spectra on the SwissBioGrid
228
Data Mining in Proteomics Using Grid Computing
245
A Grid Problem Solving Environment for Bioinformatics
269
A Graphical Workflow Modeler for Docking Process in Drug Discovery
292
BioSimGrid Biomolecular Simulation Database
307
Molecular Structure Determination on the Grid
327
Aspects of Visualization and the Grid in a Biomedical Context
347
Grid Analysis of Radiological Data
363
Grid Computing in 3D Electron Microscopy Reconstruction
392
The LIBI Grid Platform for Bioinformatics
577
A Middleware for Life Sciences Grids
615
A Grid Paradigm for eScience Applications
644
A GridBased Platform to Host Multiple Repositories for Digital Content
664
Porting Applications to Grids and Clouds
688
The SOGrid Portal
712
LargeScale CoPhylogenetic Analysis on the Grid
731
Compilation of References
1
About the Contributors
1
Index
37
Copyright

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About the author (2009)

Mario Cannataro has been an associate professor of computer engineering at University “Magna Gręcia” (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. [Editor]

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