Grid Computing in Life Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Grid Computing in Life Science write by Akihiko Konagaya. This book was released on 2005-03-07. Grid Computing in Life Science available in PDF, EPUB and Kindle. This book constitutes the thoroughly refereed postproceedings of the First International Life Science Grid Workshop, LSGRID 2004, held in Kanazawa, Japan in May/ June 2004. The 10 revised full papers and 5 invited papers presented were carefully selected and went through two rounds of reviewing and revision. Among the topics addressed are grid environment for bioinformatics, grid architectures, database federation, proteome annotation, grid workflow software, functional genome annotation, protein classification, tree inference, parallel computing, high performance computing, grid infrastructures, functional genomics, and evolutionary algorithms.
Grid Computing in Life Sciences
Grid Computing in Life Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Grid Computing in Life Sciences write by Tin Wee Tan. This book was released on 2006. Grid Computing in Life Sciences available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare write by Cannataro, Mario. This book was released on 2009-05-31. Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare available in PDF, EPUB and Kindle. "This book provides methodologies and developments of grid technologies applied in different fields of life sciences"--Provided by publisher.
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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Grid Computing In The Life Science - Proceedings Of The 2nd International Life Science Grid Workshop, Lsgrid 2005 write by Tin Wee Tan. This book was released on 2006-10-26. Grid Computing In The Life Science - Proceedings Of The 2nd International Life Science Grid Workshop, Lsgrid 2005 available in PDF, EPUB and Kindle. 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.
Grid Computing for Bioinformatics and Computational Biology
Grid Computing for Bioinformatics and Computational Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Grid Computing for Bioinformatics and Computational Biology write by El-Ghazali Talbi. This book was released on 2007-12-04. Grid Computing for Bioinformatics and Computational Biology available in PDF, EPUB and Kindle. 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.
