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Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine and Healthcare Two Volumes [Hardback]

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  • Formāts: Hardback, 774 pages, weight: 3520 g
  • Izdošanas datums: 30-Jun-2009
  • Izdevniecība: Medical Information Science Reference
  • ISBN-10: 1605663743
  • ISBN-13: 9781605663746
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  • Cena: 639,92 €
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  • Formāts: Hardback, 774 pages, weight: 3520 g
  • Izdošanas datums: 30-Jun-2009
  • Izdevniecība: Medical Information Science Reference
  • ISBN-10: 1605663743
  • ISBN-13: 9781605663746
Citas grāmatas par šo tēmu:
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. 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.
Foreword xxxvii
Preface xl
Acknowledgment xlv
Section I Infrastructures and Services for HealthGrids and BioGrids
SHARE: A European Healthgrid Roadmap
1(29)
Mark Olive
Hanene Boussi Rahmouni
Tony Solomonides
Vincent Breton
Nicolas Jacq
Yannick Legre
Ignacio Blanquer
Vicente Hernandez
Isabelle Andoulsi
Jean Herveg
Celine Van Doosselare
Petra Wilson
Alexander Dobrev
Karl Stroetmann
Veli Stroetmann
Types of Resources and their Discovery in HealthGrids
30(16)
Aisha Naseer
Lampros K. Stergioulas
Data Provenance in Scientific Workflows
46(14)
Khalid Belhajjame
Paolo Missier
Carole A. Goble
Provenance Tracking and End-User Oriented Query Construction
60(16)
Bartosz Balis
Marian Bubak
Michal Pelczar
Jakub Wach
Data Protection and Data Security Regarding Grid Computing in Biomedical Research
76(14)
Yassene Mohammed
Fred Viezens
Frank Dickmann
Jurgen Falkner
Thomas Lingner
Dagmar Krefting
Ulrich Sax
Parallel, Distributed, and Grid-Based Data Mining: Algorithms, Systems, and Applications
90(31)
Moez Ben HajHmida
Antonio Congiusta
Section II Grids for Genomics and Proteomics
High Performance BLAST Over the Grid
121(28)
Vincent Breton
Eddy Caron
Frederic Desprez
Gael Le Mahec
Functional Genomics Applications in GRID
149(19)
Luciano Milanesi
Ivan Merelli
Gabriele Trombetti
Paolo Cozzi
Alessandro Orro
PheGee@Home: A Grid-Based Tool for Comparative Genomics
168(19)
Bertil Schmidt
Chen Chen
Weiguo Liu
Wayne P. Mitchell
High-Throughput GRID Computing for Life Sciences
187(19)
Giulia De Sario
Angelica Tulipano
Giacinto Donvito
Giorgio Maggi
Andreas Gisel
Management and Analysis of Mass Spectrometry Proteomics Data on the Grid
206(22)
Mario Cannataro
Pietro Hiram Guzzi
Giuseppe Tradigo
Pierangelo Veltri
High-Throughput Data Analysis of Proteomic Mass Spectra on the SwissBioGrid
228(17)
Andreas Quandt
Sergio Maffioletti
Cesare Pautasso
Heinz Stockinger
Frederique Lisacek
Peter Kunszt
Data Mining in Proteomics Using Grid Computing
245(24)
Fotis E. Psomopoulos
Pericles A. Mitkas
Section III Grid-Based Bioinformatics Environments
ProGenGrid: A Grid Problem Solving for Bioinformatics
269(23)
Maria Mirto
Italo Epicoco
Massimo Cafaro
Sandro Fiore
Marco Passante
Alessandro Negro
Giovanni Aloisio
A Graphical Workflow Modeler for Docking Process in Drug Discovery
292(15)
Qiang Wang
Yunming Ye
Kunqian Yu
Joshua Zhexue Huang
BioSimGrid Biomolecular Simulation Database
307(20)
Kaihsu Tai
Mark S. P. Sansom
Molecular Structure Determination on the Grid
327(20)
Russ Miller
Charles M. Weeks
Section IV Grids for Medical Informatics
Aspects of Visualization and the Grid in a Biomedical Context
347(16)
Ian Greenshields
Gamal El-Sayed
Grid Analysis of Radiological Data
363(29)
Cecile Germain-Renaud
Vincent Breton
Patrick Clarysse
Bertrand Delhay
Yann Gaudeau
Tristan Glatard
Emmanuel Jeannot
Yannick Legre
Johan Montagnat
Jean Marie Moureaux
Angel Osorio
Xavier Pennec
Joel Schaerer
Romain Texier
Grid Computing in 3D Electron Microscopy Reconstruction
392(18)
J.R. Bilbao Castro
I. Garcia Fernandez
J.J. Fernandez
Hybrid Mock Circulatory System to Test Cardiovascular Prostheses on the Grid
410(16)
Francesco Maria Colacino
Maurizio
Gionata Fragomeni
Section V Collaborative Grids for Healthcare and Clinical Applications
Grid Technologies in Epidemiology
426(18)
Ignacio Blanquer
Vicente Hernandez
IntegraEPI: Epidemiologic Surveillance on the Grid
444(25)
Fabricio Alves Burbosa da Silva
Henrique Fabricio Gagliardi
Eduardo Gallo
Maria Antonia Madope
Virgilio Cavicchioli Neto
Ivan Torres Pisa
Domingos Alves
Gridifying Biomedical Applications in the Health-e-Child Project
469(25)
David Manset
Frederic Pourraz
Alexey Tsymbal
Jerome Revillard
Konstantin Skaburskas
Richard McClatchey
Ashiq Anjum
Alfonso Rios
Martin Huber
e-Infrastructures Fostering Multi-Centre Collaborative Research into the Intensive Care Management of Patients with Brain Injury
494(20)
Richard O. Sinnott
Ian Piper
Section VI Grid-Based Virtual Laboratories for Bioinformatics and e-Science
Semantic Integration for Research Environments
514(17)
Tomasz Gubala
Marian Bubak
Peter M.A. Sloot
Virtual Laboratory for Collaborative Applications
531(21)
Marian Bubak
Maciej Malawski
Tomasz Gubala
Marek Kasztelnik
Piotr Nowakowski
Daniel Harezlak
Tomasz Bartynski
Joanna Kocot
Eryk Ciepiela
Wlodzimierz Funika
Dariusz Krol
Bartosz Balis
Matthias Assel
Alfredo Tirado-Ramos
Leveraging the Power of the Grid with Opal
552(25)
Sriram Krishnan
Luca Clementi
Zhaohui Ding
Wilfred Li
The LIBI Grid Platform for Bioinformatics
577(38)
Section VII Building and Deploying HealthGrids
UNICORE: A Middleware for Life Sciences Grids
615(29)
Piotr Bala
Kim Baldridge
Emilio Benfenati
Mose Casalegno
Uko Maran
Lukasz Miroslaw
Vitaliy Ostropytskyy
Katharina Rasch
Sulev Sild
Robert Schone
Bernd Schuller
Nadya Williams
A Grid Paradigm for e-Science Applications
644(20)
Livia Torterolo
Luca Corradi
Barbara Canesi
Marco Fato
Roberto Barbera
Salvatore Scifo
Antonio Calanducci
Diego Scardaci
Giordano Scuderi
gLibrary/DRI: A Grid-Based Platform to Host Multiple Repositories for Digital Content
664(24)
Roberto Barbera
Antonio Calanducci
Juan Manuel Gonzalez Martin
Francisco Prieto Castrillo
Raul Ramos Pollan
Manuel Rubio del Solar
Dorin Tcaci
Section VIII Selected Readings
Porting Applications to Grids and Clouds
688(24)
Wolfgang Gentzsch
Evaluating a Bio-Inspired Approach for the Design of a Grid Information System: The SO-Grid Portal
712(19)
Agostino Forestiero
Carlo Mastroianni
Fausto Pupo
Giandomenico Spezzano
Large-Scale Co-Phylogenetic Analysis on the Grid
731
Heinz Stockinger
Alexander F. Auch
Markus Goker
Jan Meier-Kolthoff
Alexandros Stamatakis
Mario Cannataro is an Associate Professor of computer engineering at University ļæ½Magna Grļæ½ciaļæ½ 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.