Del 23 i serien Computational Biology

Distributed and Sequential Algorithms for Bioinformatics

Inbunden, Engelska, 2015

AvKayhan Erciyes

709 kr

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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.

Produktinformation

Utgivningsdatum2015-11-10
Mått155 x 235 x 27 mm
Vikt746 g
FormatInbunden
SpråkEngelska
SerieComputational Biology
Antal sidor367
Upplaga15001
FörlagSpringer International Publishing AG
ISBN9783319249643

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Programmeringsböcker inom Data och IT
Biovetenskap inom Naturvetenskap och teknik

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.

"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)