Parallel Computing For Bioinformatics And Computational Biology


Parallel Computing For Bioinformatics And Computational Biology
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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.



Bioinformatics


Bioinformatics
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Author : Bertil Schmidt
language : en
Publisher: CRC Press
Release Date : 2010-07-15

Bioinformatics written by Bertil Schmidt and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-15 with Computers categories.


New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive biological



Euro Par 2006 Workshops Parallel Processing


Euro Par 2006 Workshops Parallel Processing
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Author : Wolfgang Lehner
language : en
Publisher: Springer
Release Date : 2007-06-27

Euro Par 2006 Workshops Parallel Processing written by Wolfgang Lehner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-27 with Computers categories.


This book constitutes the thoroughly refereed joint post-proceedings of the three International Workshops on Grid Middleware, CoreGrid 2006, the UNICORE Summit 2006, and the Workshop on Petascale Computational Biology and Bioinformatics, held in Dresden, Germany, in August/September 2006, in conjunction with Euro-Par 2006, the 12th International Conference on Parallel Computing.



Euro Par 2006 Workshops Parallel Processing


Euro Par 2006 Workshops Parallel Processing
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Author : Wolfgang Lehner
language : en
Publisher: Springer
Release Date : 2007-05-29

Euro Par 2006 Workshops Parallel Processing written by Wolfgang Lehner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-29 with Computers categories.


This book constitutes the thoroughly refereed joint post-proceedings of the three International Workshops on Grid Middleware, CoreGrid 2006, the UNICORE Summit 2006, and the Workshop on Petascale Computational Biology and Bioinformatics, held in Dresden, Germany, in August/September 2006, in conjunction with Euro-Par 2006, the 12th International Conference on Parallel Computing.



Emerging Trends In Applications And Infrastructures For Computational Biology Bioinformatics And Systems Biology


Emerging Trends In Applications And Infrastructures For Computational Biology Bioinformatics And Systems Biology
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Author : Hamid R Arabnia
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-03-25

Emerging Trends In Applications And Infrastructures For 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 2016-03-25 with Computers categories.


Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems. The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge. The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications. Explores all the latest advances in this fast-developing field from an applied perspective Provides the only coherent and comprehensive treatment of the subject available Covers the algorithm development, software design, and database applications that have been developed to foster research



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.



High Throughput Image Reconstruction And Analysis


High Throughput Image Reconstruction And Analysis
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Author : A. Ravishankar Rao
language : en
Publisher: Artech House
Release Date : 2009

High Throughput Image Reconstruction And Analysis written by A. Ravishankar Rao and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Medical categories.


This innovative volume surveys the latest image acquisition advances in serial block face techniques in scanning electron microscopy, knife-edge scanning microscopy, and 4D imaging of multi-component biological systems. The book introduces parallel processing for biological applications. You learn advanced parallelization techniques for decomposing a problem domain and mapping it onto a parallel processing architecture using the message-passing interface (MPI) and OpenMP. Case studies show how these techniques have been successfully used in simulation tasks, data mining, and graphical visualization of biological datasets. You also find coverage of methods for developing scalable biological image databases and for facilitating greater interactive visualization of large image sets.



Artificial Intelligence In Bioinformatics


Artificial Intelligence In Bioinformatics
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Author : Mario Cannataro
language : en
Publisher: Elsevier
Release Date : 2022-05-12

Artificial Intelligence In Bioinformatics written by Mario Cannataro and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-12 with Computers categories.


Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the topic, from omics analysis to deep learning and network mining. The book includes a rigorous introduction on bioinformatics, also reviewing how methods are incorporated in tasks and processes. In addition, it presents methods and theory, including content for emergent fields such as Sentiment Analysis and Network Alignment. Other sections survey how Artificial Intelligence is exploited in bioinformatics applications, including sequence analysis, structure analysis, functional analysis, protein classification, omics analysis, biomarker discovery, integrative bioinformatics, protein interaction analysis, metabolic networks analysis, and much more. Bridges the gap between computer science and bioinformatics, combining an introduction to Artificial Intelligence methods with a systematic review of its applications in the life sciences Brings readers up-to-speed on current trends and methods in a dynamic and growing field Provides academic teachers with a complete resource, covering fundamental concepts as well as applications



Distributed And Sequential Algorithms For Bioinformatics


Distributed And Sequential Algorithms For Bioinformatics
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Author : Kayhan Erciyes
language : en
Publisher: Springer
Release Date : 2015-10-31

Distributed And Sequential Algorithms For Bioinformatics written by Kayhan Erciyes and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-31 with Computers categories.


This unique textbook/reference presents unified coverage of bioinformatics topics relating to both biological sequences and biological networks, providing an in-depth analysis of cutting-edge distributed algorithms, as well as of relevant sequential algorithms. In addition to introducing the latest algorithms in this area, more than fifteen new distributed algorithms are also proposed. Topics and features: reviews a range of open challenges in biological sequences and networks; describes in detail both sequential and parallel/distributed algorithms for each problem; suggests approaches for distributed algorithms as possible extensions to sequential algorithms, when the distributed algorithms for the topic are scarce; proposes a number of new distributed algorithms in each chapter, to serve as potential starting points for further research; concludes each chapter with self-test exercises, a summary of the key points, a comparison of the algorithms described, and a literature review.



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.