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
Distributed and sequential algorithms for bioinformatics
β Scribed by Erciyes K.
- Publisher
- Springer
- Year
- 2015
- Tongue
- English
- Leaves
- 376
- Series
- Computational Biology volume 23
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content: IntroductionPart I: BackgroundIntroduction to Molecular BiologyGraphs, Algorithms and ComplexityParallel and Distributed ComputingPart II: Biological SequencesString AlgorithmsSequence AlignmentClustering of Biological SequencesSequence RepeatsGenome AnalysisPart III: Biological NetworksAnalysis of Biological NetworksCluster Discovery in Biological NetworksNetwork Motif SearchNetwork AlignmentPhylogenetics Epilogue
β¦ Subjects
Bioinformatics.;Distributed algorithms.;Bio-informatique.;Algorithmes reΜpartis.
π SIMILAR VOLUMES
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
<p><p>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 l
Algorithms: Sequential, Parallel, and Distributed offers in-depth coverage of traditional and current topics in sequential algorithms, as well as a solid introduction to the theory of parallel and distributed algorithms. In light of the emergence of modern computing environments such as parallel com
This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, and approximation algorithms and heuristics for such problems. The work also provides a comparative analysis of
This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, and approximation algorithms and heuristics for such problems. The work also provides a comparative analysis of