Algorithms in Bioinformatics, Mihai Pop; H?l?ne Touzet

Автор: Sung
Название: Algorithms in Bioinformatics
ISBN: 1420070339 ISBN-13(EAN): 9781420070330
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.

Автор: Dan Brown; Burkhard Morgenstern
Название: Algorithms in Bioinformatics
ISBN: 3662447525 ISBN-13(EAN): 9783662447529
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book constitutes the refereed proceedings of the 14th International Workshop on Algorithms in Bioinformatics, WABI 2014, held in Wroclaw, Poland, in September 2014. WABI 2014 was one of seven conferences that were organized as part of ALGO 2014. WABI is an annual conference series on all aspects of algorithms and data structure in molecular biology, genomics and phylogeny data analysis. The 26 full papers presented together with a short abstract were carefully reviewed and selected from 61 submissions. The selected papers cover a wide range of topics from sequence and genome analysis through phylogeny reconstruction and networks to mass spectrometry data analysis.

Автор: Keith Crandall; Jens Lagergren
Название: Algorithms in Bioinformatics
ISBN: 3540873600 ISBN-13(EAN): 9783540873600
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Constitutes the refereed proceedings of the 8th International Workshop on Algorithms in Bioinformatics, WABI 2008, held in Karlsruhe, Germany, in September 2008 as part of the ALGO 2008 meeting. This title includes topics that range in biological applicability from genome mapping, to sequence assembly, to microarray quality, to molecular modeling.

Автор: Frith
Название: Algorithms in Bioinformatics
ISBN: 3319436805 ISBN-13(EAN): 9783319436807
Издательство: Springer
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Цена: 9083.00 р.
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Описание: The 25 full papers together with 2 invited talks presented were carefully reviewed and selected from 54 submissions. The selected papers cover a wide range of topics from networks, tophylogenetic studies, sequence and genome analysis, comparative genomics, and mass spectrometry data analysis.

Автор: Erciyes, Kayhan
Название: Distributed and sequential algorithms for bioinformatics
ISBN: 3319249649 ISBN-13(EAN): 9783319249643
Издательство: Springer
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Цена: 11878.00 р.
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Описание: 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.

Автор: Steven L. Salzberg; Tandy Warnow
Название: Algorithms in Bioinformatics
ISBN: 3642042406 ISBN-13(EAN): 9783642042409
Издательство: Springer
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Цена: 18284.00 р.
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Описание: These proceedings contain papers from the 2009 Workshop on Algorithms in Bioinformatics (WABI), held at the University of Pennsylvania in Philadelphia, Pennsylvania during September 12-13, 2009.

Автор: Forsdyke, Donald R.
Название: Evolutionary bioinformatics /
ISBN: 3319287532 ISBN-13(EAN): 9783319287539
Издательство: Springer
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Цена: 26552.00 р.
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Описание: Now in its third edition and supplemented with more online material, this book aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people.