Description: 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. 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. 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
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EAN: 9783319387482
UPC: 9783319387482
ISBN: 9783319387482
MPN: N/A
Book Title: Distributed and Sequential Algorithms for Bioinfor
Item Length: 23.4 cm
Number of Pages: 367 Pages
Language: English
Publication Name: Distributed and Sequential Algorithms for Bioinformatics
Publisher: Springer International Publishing Ag
Publication Year: 2016
Subject: Medicine, Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 5854 g
Type: Textbook
Author: Kayhan Erciyes
Item Width: 155 mm
Format: Paperback