10 edition of Parallel Computing for Bioinformatics and Computational Biology found in the catalog.
April 21, 2006
Written in English
|The Physical Object|
|Number of Pages||816|
Computational Systems Biology of Synaptic Plasticity Modelling of Biochemical Pathways Related to Memory Formation and Impairment By: Don Kulasiri & Yao He Biophysics and Biochemistry of Protein . CiteScore: ℹ CiteScore: CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. .
and bioinformatics when the focus is on constructing and using computational tools for biology. With this distinction the work presented in this dissertation clearly falls in the category of computational biology. Computational File Size: 1MB. Albert Y. Zomaya has written: 'Parallel Computing for Bioinformatics and Computational Biology' -- subject(s): Bioinformatics, Computational biology, Computer Technology, Engineering, Nonfiction.
Albert Y. Zomaya is currently the Chair Professor of High Performance Computing & Networking and Australian Research Council Professorial Fellow in the School of Information Technologies, The University of is also the Director of the Centre for Distributed and High Performance Computing,.He is currently the Editor in Chief of IEEE Transactions on Sustainable Computing Fields: Complex Systems, Parallel and Distributed Computing, Green Computing. Parallel Computing in Bioinformatics and Computational Biology Miller & Green Wiley Book Series on Parallel and Distributed Computing Albert Zomaya, ed. - 2 - 7. Driven by the fact that science is a .
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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 Format: Hardcover. 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 Manufacturer: Wiley-Interscience.
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.
The book provides the fundamentals concepts of computational biology and bioinformatics in parallel to gaining actual skills in computing and the ability to write your own Python programs.
What I love about the book is how the authors ensure the concepts and skills are applicable to a clear and defined biological by: 2. Free Online Library: Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies.(Brief Article, Book Review) by "SciTech Book News"; Publishing industry Library and information science Science and technology, general Books Book.
Parallel Computing for Biological Systems 96 Parallel Simulations Spatial Modeling of Cellular Systems Modeling Colonies of Cells References 5 Parallel Computation. Our researchers work on core computational biology-related problems, including genomics, proteomics, metagenomics, and phylogenomics.
We develop novel techniques that combine ideas from mathematics, computer science, probability, statistics, and physics, and we help identify and formalize computational. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays.
In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology. Parallel Computing for Bioinformatics and Computational Biology isa contributed work that serves as a repository of case studies,collectively demonstrating how parallel computing streamlinesdifficult problems in 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 Author: Albert Zomaya.
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. In book: Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies, pp.1 - 28 Cite this publication Nouhad J.
RizkAuthor: Nouhad J. Rizk. Computational biology Bioinformatics and/or computational biology is broadly defined as the development and application of informatics techniques for solving problems arising in biological sciences.
(ed) () Parallel computing for bioinformatics and computational biology: models, enabling technolgoies, and case studies.
Search book. Abstract. In the last 10 years, we are witnessing one of the major revolutions in parallel systems. The consolidation of heterogeneous systems at different levels -from desktop computers to large-scale systems such as supercomputers, clusters or grids, through all kinds of low-power devices- is providing a computational Cited by: 8.
Two factors continue to drive the increasing use of modern parallel computer architectures to address problems in computational biology and bioinformatics: high-throughput techniques for DNA sequencing and gene expression analysis—which have led to an exponential growth in the amount of digital biological data—and the multi- and many-core revolution within computer architecture.
Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes.
The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. Current Volumes Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications, (Tony Hu & Yi Pan) Grid Computing for Bioinformatics and Computational Biology (Talbi & Zomaya) Bioinformatics.
Table of contents for Parallel computing for bioinformatics and computational biology: models, enabling technologies, and case studies / Albert Y. Zomaya. Bibliographic record and links to related. 32 Parallel Bioinformatics on Computational Grids i Hans De Sterck, Rob Markel, and Rob Knight Introduction 1 The TaskSpaces Framework 4 Application: Finding Correctly Folded RNA Motifs in Sequence Space 10 Case Study: Operating the Framework on a Computational.
Parallel computing for bioinformatics and computational biology: models, enabling technologies, and case studies. [Albert Y Zomaya;] -- Parallel Computing for Bioinformatics is the first book to deal with the topic of parallel computing and bioinformatics.
The discipline of bioinformatics and computational biology sits at the interface between biology, the quantitative sciences (such as mathematics, statistics, computer science) and engineering, and spans levels of investigation from single genes to systems.
Section Bioinformatics and Computational Biology .John Wiley, p. ISBN:This is the first book that deals with the topic of parallel computing and its use to drive applications in bioinformatics and computational biology in such a comprehensive manner.
The material included in this book .Purchase Parallel Programming - 1st Edition. Print Book & E-Book. ISBN