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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.
List 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.
About the author
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.
Summary
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.
Additional text
“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)
Report
"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)
