Grid Computing For Bioinformatics And Computational Biology


Grid Computing For Bioinformatics And Computational Biology
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Grid Computing For Bioinformatics And Computational Biology


Grid Computing For Bioinformatics And Computational Biology
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Author : El-Ghazali Talbi
language : en
Publisher: John Wiley & Sons
Release Date : 2007-12-04

Grid Computing For Bioinformatics And Computational Biology written by El-Ghazali Talbi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-04 with Computers categories.


The only single, up-to-date source for Grid issues in bioinformatics and biology Bioinformatics is fast emerging as an important discipline for academic research and industrial applications, creating a need for the use of Grid computing techniques for large-scale distributed applications. This book successfully presents Grid algorithms and their real-world applications, provides details on modern and ongoing research, and explores software frameworks that integrate bioinformatics and computational biology. Additional coverage includes: * Bio-ontology and data mining * Data visualization * DNA assembly, clustering, and mapping * Molecular evolution and phylogeny * Gene expression and micro-arrays * Molecular modeling and simulation * Sequence search and alignment * Protein structure prediction * Grid infrastructure, middleware, and tools for bio data Grid Computing for Bioinformatics and Computational Biology is an indispensable resource for professionals in several research and development communities including bioinformatics, computational biology, Grid computing, data mining, and more. It also serves as an ideal textbook for undergraduate- and graduate-level courses in bioinformatics and Grid computing.



Distributed High Performance And Grid Computing In Computational Biology


Distributed High Performance And Grid Computing In Computational Biology
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Author : Werner Dubitzky
language : en
Publisher: Springer
Release Date : 2007-03-07

Distributed High Performance And Grid Computing In Computational Biology written by Werner Dubitzky and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-07 with Science categories.


The book constitutes the refereed proceedings of the International Workshop on Distributed, High-Performance and Grid Computing in Computational Biology, GCCB 2006, held in Eilat, Israel in January 2007 in conjunction with the 5th European Conference on Computational Biology, ECCB 2006. The 13 revised full papers presented were carefully reviewed and selected from many high quality submissions.



Parallel Computing For Bioinformatics And Computational Biology


Parallel Computing For Bioinformatics And Computational Biology
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Author : Albert Y. Zomaya
language : en
Publisher: John Wiley & Sons
Release Date : 2006-04-14

Parallel Computing For Bioinformatics And Computational Biology written by Albert Y. Zomaya and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-14 with Computers categories.


Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution. A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics. Parallel Computing for Bioinformatics and Computational Biology is a contributed work that serves as a repository of case studies, collectively demonstrating how parallel computing streamlines difficult problems in bioinformatics and produces better results. Each of the chapters is authored by an established expert in the field and carefully edited to ensure a consistent approach and high standard throughout the publication. The work is organized into five parts: * Algorithms and models * Sequence analysis and microarrays * Phylogenetics * Protein folding * Platforms and enabling technologies Researchers, educators, and students in the field of bioinformatics will discover how high-performance computing can enable them to handle more complex data sets, gain deeper insights, and make new discoveries.



Grid Computing In Life Sciences


Grid Computing In Life Sciences
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Author : Tin Wee Tan
language : en
Publisher: World Scientific
Release Date : 2006

Grid Computing In Life Sciences written by Tin Wee Tan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Science categories.


This is the second volume in the series of proceedings from the International Workshop on Life Science Grid. It represents the few, if not the only, dedicated proceedings volumes that gathers together the presentations of leaders in the emerging sub-discipline of grid computing for the life sciences. The volume covers the latest developments, trends and trajectories in life science grid computing from top names in bioinformatics and computational biology: A Konagaya; J C Wooley of the National Science Foundation (NSF) and DoE thought leader in supercomputing and life science computing, and one of the key people in the NSF CIBIO initiative; P Arzberger of PRAGMA fame; and R Sinnott of UK e-Science. Sample Chapter(s). Chapter 1: The Grid as a ba for Biomedical Knowledge Creation (155 KB). Contents: The Grid as a OC BaOCO for Biomedical Knowledge Creation (A Konagaya); Cyberinfrastructure for the Biological Sciences (CIBIO) (J C Wooley); Controlling the Chaos: Developing Post-Genomic Grid Infrastructures (R Sinnott & M Bayer); A Framework for Biological Analysis on the Grid (T Okumura et al.); An Architectural Design of Open Genome Services (R Umetsu et al.); Proteome Analysis Using iGAP in Gfarm (W W Li et al.); Large-Scale Simulation and Prediction of HLA-Epitope Complex Structures (A E H Png et al.); Process Integration for Bio-Manufacturing Grid (Z Q Shen et al.); and other papers. Readership: Practitioners of grid computing as applied to the life sciences, life scientists and biologists working on large computational solutions that require grid computing."



Handbook Of Research On Computational Grid Technologies For Life Sciences Biomedicine And Healthcare


Handbook Of Research On Computational Grid Technologies For Life Sciences Biomedicine And Healthcare
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Author : Cannataro, Mario
language : en
Publisher: IGI Global
Release Date : 2009-05-31

Handbook Of Research On Computational Grid Technologies For Life Sciences Biomedicine And Healthcare written by Cannataro, Mario and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-31 with Medical categories.


"This book provides methodologies and developments of grid technologies applied in different fields of life sciences"--Provided by publisher.



Grid Computing In Life Science


Grid Computing In Life Science
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Author : Akihiko Konagaya
language : en
Publisher: Springer
Release Date : 2005-02-18

Grid Computing In Life Science written by Akihiko Konagaya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-18 with Computers categories.


Researchers in the ?eld of life sciences rely increasingly on information te- nology to extract and manage relevant knowledge. The complex computational and data management needs of life science research make Grid technologies an attractive support solution. However, many important issues must be addressed before the Life Science Grid becomes commonplace. The 1st International Life Science Grid Workshop (LSGRID 2004) was held in Kanazawa Japan, May 31–June 1, 2004. This workshop focused on life s- ence applications of grid systems especially for bionetwork research and systems biology which require heterogeneous data integration from genome to phenome, mathematical modeling and simulation from molecular to population levels, and high-performance computing including parallel processing, special hardware and grid computing. Fruitful discussions took place through 18 oral presentations, including a keynote address and ?ve invited talks, and 16 poster and demonstration p- sentations in the ?elds of grid infrastructure for life sciences, systems biology, massive data processing, databases and data grids, grid portals and pipelines for functional annotation, parallel and distributed applications, and life science grid projects. The workshop emphasized the practical aspects of grid techno- gies in terms of improving grid-enabled data/information/knowledge sharing, high-performance computing, and collaborative projects. There was agreement among the participants that the advancement of grid technologies for life science research requires further concerted actions and promotion of grid applications. We therefore concluded the workshop with the announcement of LSGRID 2005.



Emerging Trends In Computational Biology Bioinformatics And Systems Biology


Emerging Trends In Computational Biology Bioinformatics And Systems Biology
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Author : Hamid R Arabnia
language : en
Publisher: Morgan Kaufmann
Release Date : 2015-08-11

Emerging Trends In Computational Biology Bioinformatics And Systems Biology written by Hamid R Arabnia and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-11 with Computers categories.


Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. • Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. • Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. • Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications. Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems. Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications. Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.



Grid Computing In Life Science


Grid Computing In Life Science
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Author : Akihiko Konagaya
language : en
Publisher: Springer
Release Date : 2005-02-18

Grid Computing In Life Science written by Akihiko Konagaya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-18 with Computers categories.


Researchers in the ?eld of life sciences rely increasingly on information te- nology to extract and manage relevant knowledge. The complex computational and data management needs of life science research make Grid technologies an attractive support solution. However, many important issues must be addressed before the Life Science Grid becomes commonplace. The 1st International Life Science Grid Workshop (LSGRID 2004) was held in Kanazawa Japan, May 31–June 1, 2004. This workshop focused on life s- ence applications of grid systems especially for bionetwork research and systems biology which require heterogeneous data integration from genome to phenome, mathematical modeling and simulation from molecular to population levels, and high-performance computing including parallel processing, special hardware and grid computing. Fruitful discussions took place through 18 oral presentations, including a keynote address and ?ve invited talks, and 16 poster and demonstration p- sentations in the ?elds of grid infrastructure for life sciences, systems biology, massive data processing, databases and data grids, grid portals and pipelines for functional annotation, parallel and distributed applications, and life science grid projects. The workshop emphasized the practical aspects of grid techno- gies in terms of improving grid-enabled data/information/knowledge sharing, high-performance computing, and collaborative projects. There was agreement among the participants that the advancement of grid technologies for life science research requires further concerted actions and promotion of grid applications. We therefore concluded the workshop with the announcement of LSGRID 2005.



Grid Computing In The Life Science Proceedings Of The 2nd International Life Science Grid Workshop Lsgrid 2005


Grid Computing In The Life Science Proceedings Of The 2nd International Life Science Grid Workshop Lsgrid 2005
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Author : Tin Wee Tan
language : en
Publisher: World Scientific
Release Date : 2006-10-26

Grid Computing In The Life Science Proceedings Of The 2nd International Life Science Grid Workshop Lsgrid 2005 written by Tin Wee Tan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-26 with Science categories.


This is the second volume in the series of proceedings from the International Workshop on Life Science Grid. It represents the few, if not the only, dedicated proceedings volumes that gathers together the presentations of leaders in the emerging sub-discipline of grid computing for the life sciences.The volume covers the latest developments, trends and trajectories in life science grid computing from top names in bioinformatics and computational biology: A Konagaya; J C Wooley of the National Science Foundation (NSF) and DoE thought leader in supercomputing and life science computing, and one of the key people in the NSF CIBIO initiative; P Arzberger of PRAGMA fame; and R Sinnott of UK e-Science.



Healthgrid Applications And Technologies Meet Science Gateways For Life Sciences


Healthgrid Applications And Technologies Meet Science Gateways For Life Sciences
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Author : S. Gesing
language : en
Publisher: IOS Press
Release Date : 2012-05-10

Healthgrid Applications And Technologies Meet Science Gateways For Life Sciences written by S. Gesing and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-10 with Medical categories.


The integration of grid, cloud and other e-infrastructures into the fields of biology, bioinformatics, biomedicine, and healthcare are crucial if optimum use is to be made of the latest high-performance and distributed computer technology in these areas. Science gateways are concerned with offering intuitive graphical user interfaces to applications, data, and tools on distributed computing infrastructures. This book presents the joint proceedings of the Tenth HealthGrid Conference and the Fourth International Workshop on Science Gateways for Life Sciences (IWSG-Life), held in Amsterdam, Netherlands in May 2012. The HealthGrid conference promotes the exchange and debate of ideas, technologies and solutions likely to promote the integration of grids into biomedical research and health in the broadest sense. The IWSG-Life workshop series is a forum that brings together scientists from the field of life sciences, bioinformatics, and computer science to advance computational biology and chemistry in the context of science gateways. These events have been jointly organized to maximize the benefit from synergies and stimulate the forging of further links in joint research areas. The book is divided into three parts. Part I includes contributions accepted to the HealthGrid conference; Part II contains the papers about various aspects of the development and usage of science gateways for life sciences. The joint session is recorded in Part III, and addresses the topic of science gateways for biomedical research. The book will provide insights and new perspectives for all those involved in the research and use of infrastructures and technology for healthcare and life sciences.