Distributed and Sequential Algorithms for Bioinformatics

Author:   Kayhan Erciyes
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   23
ISBN:  

9783319387482


Pages:   367
Publication Date:   23 August 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Distributed and Sequential Algorithms for Bioinformatics


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Overview

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.

Full Product Details

Author:   Kayhan Erciyes
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   23
Weight:   5.854kg
ISBN:  

9783319387482


ISBN 10:   3319387480
Pages:   367
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Part I: Background.- Introduction to Molecular Biology.- Graphs, Algorithms and Complexity.- Parallel and Distributed Computing.- Part II: Biological Sequences.- String Algorithms.- Sequence Alignment.- Clustering of Biological Sequences.- Sequence Repeats.- Genome Analysis.- Part III: Biological Networks.- Analysis of Biological Networks.- Cluster Discovery in Biological Networks.- Network Motif Search.- Network Alignment.- Phylogenetics.- Epilogue.

Reviews

This volume covers a variety of algorithms-sequential, parallel, and distributed-towards the construction and analysis of biological sequences and networks. ... This volume is mostly suited to the computational biologist who wants to learn about the algorithms landscape, both sequential and distributed, both sequential and distributed ... . (Lenwood S. Heath, Mathematical Reviews, March, 2017) Because of its clear layout and well-thought-out design, this book is suitable for students and researchers in computer science as well as in biology. It is my sincere hope that it will introduce new groups of researchers to these very important problems and motivate them to look for new and more efficient solutions to them. This book is an excellent resource for anyone with an interest in bioinformatics. (Burkhard Englert, Computing Reviews, computingreviews.com, September, 2016)


Author Information

Dr. K. Erciyes is Rector of Izmir University, Turkey, where he also serves as a professor in the Computer Engineering Department. His other publications include the Springer title Distributed Graph Algorithms for Computer Networks.

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