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Evolutionary Bioinformatics, Donald R. Forsdyke


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Автор: Donald R. Forsdyke
Название:  Evolutionary Bioinformatics
ISBN: 9781489981714
Издательство: Springer
Классификация:








ISBN-10: 1489981713
Обложка/Формат: Paperback
Страницы: 509
Вес: 0.73 кг.
Дата издания: 24.11.2014
Язык: English
Размер: 234 x 156 x 27
Основная тема: Life Sciences
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Where most books on bioinformatics still serve gene-hunting biologists, this revised second edition takes a different approach that eschews tidy `family trees` in favor of `non-genic` areas of bioinformatics, such as exploring genomes as information channels.


Algorithms in Bioinformatics

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.

Elements of Evolutionary Genetics

Автор: Charlesworth Brian
Название: Elements of Evolutionary Genetics
ISBN: 0981519423 ISBN-13(EAN): 9780981519425
Издательство: Macmillan Learning
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Цена: 12472.00 р.
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Описание: This textbook shows readers how models of the genetic processes involved in evolution are made (including natural selection, migration, mutation, and genetic drift in finite populations), and how the models are used to interpret classical and molecular genetic data.

Evolutionary bioinformatics /

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.

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Автор: Clara Pizzuti; Marylyn D. Ritchie; Mario Giacobini
Название: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
ISBN: 3642011837 ISBN-13(EAN): 9783642011832
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tubingen, Germany, in April 2009 co located with the Evo 2009 events. This book includes such topics as biomarker discovery, cell simulation and modeling, and ecological modeling.

Evolutionary Writings: Including the Autobiographies

Автор: Darwin Charles, Secord James A.
Название: Evolutionary Writings: Including the Autobiographies
ISBN: 0199580146 ISBN-13(EAN): 9780199580149
Издательство: Oxford Academ
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Цена: 1582.00 р.
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Описание: This volume brings together key chapters from Darwin`s most important books, including the Journal of Researches on the Beagle voyage (1845), the Origin of Species (1859), the Descent of Man (1871), and the full text of his delightful autobiography. They are accompanied by responses from 19th-century readers from around the world.

Homology, Genes, and Evolutionary Innovation

Автор: Wagner Geunter P., Wagner Gunter P.
Название: Homology, Genes, and Evolutionary Innovation
ISBN: 0691156468 ISBN-13(EAN): 9780691156460
Издательство: Wiley
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Цена: 7920.00 р.
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Описание: Homology - a similar trait shared by different species and derived from common ancestry, such as a seal`s fin and a bird`s wing - is one of the most fundamental yet challenging concepts in evolutionary biology. This book provides a mechanistically based theory of what homology is and how it arises in evolution.

Bioinformatics Volume II: Structure, Function, and Applications

Автор: Jonathan M. Keith
Название: Bioinformatics Volume II: Structure, Function, and Applications
ISBN: 1493966111 ISBN-13(EAN): 9781493966110
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics.

Developing Bioinformatics Computer Skills

Автор: Gibas, Cynthia
Название: Developing Bioinformatics Computer Skills
ISBN: 1565926641 ISBN-13(EAN): 9781565926646
Издательство: Wiley
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Цена: 7126.00 р.
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Описание: The application of computational and analytical methods to biological problems is a rapidly evolving scientific discipline. This book is designed to help any biologist develop a structured approach to data, as well as provide the tools they`ll need to analyze it.

Evolutionary Biomechanics

Автор: Taylor Adrian
Название: Evolutionary Biomechanics
ISBN: 0198566387 ISBN-13(EAN): 9780198566380
Издательство: Oxford Academ
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Цена: 6651.00 р.
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Описание: Recent research in biomechanics is increasingly revealing a set of special cases where universal physical laws constrain the trajectories and, more controversially, even the endpoints of the evolutionary process. For the first time this book brings together a broad range of examples from the latest research in evolutionary biomechanics to examine this phenomenon.

Bioinformatics Research and Applications

Автор: Anu Bourgeois; Pavel Skums; Xiang Wan; Alex Zeliko
Название: Bioinformatics Research and Applications
ISBN: 3319387812 ISBN-13(EAN): 9783319387819
Издательство: Springer
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Цена: 7826.00 р.
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Описание: This book constitutes the proceedings of the 12th International Symposium on Bioinformatics Research and Applications, ISBRA 2016, held in Minsk, Belarus, in June 2016. The 25 papers presented in this volume were carefully reviewed and selected from 77 submissions.

Agricultural Bioinformatics

Автор: Kavi Kishor P.B.; Rajib Bandopadhyay; Prashanth Su
Название: Agricultural Bioinformatics
ISBN: 8132234863 ISBN-13(EAN): 9788132234869
Издательство: Springer
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Цена: 25155.00 р.
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Описание: A common approach to understanding the functional repertoire of a genome is through functional genomics. With systems biology burgeoning, bioinformatics has grown to a larger extent for plant genomes where several applications in the form of protein-protein interactions (PPI) are used to predict the function of proteins. With plant genes evolutionarily conserved, the science of bioinformatics in agriculture has caught interest with myriad of applications taken from bench side to in silico studies. A multitude of technologies in the form of gene analysis, biochemical pathways and molecular techniques have been exploited to an extent that they consume less time and have been cost-effective to use. As genomes are being sequenced, there is an increased amount of expression data being generated from time to time matching the need to link the expression profiles and phenotypic variation to the underlying genomic variation. This would allow us to identify candidate genes and understand the molecular basis/phenotypic variation of traits. While many bioinformatics methods like expression and whole genome sequence data of organisms in biological databases have been used in plants, we felt a common reference showcasing the reviews for such analysis is wanting. We envisage that this dearth would be facilitated in the form of this Springer book on Agricultural Bioinformatics. We thank all the authors and the publishers Springer, Germany for providing us an opportunity to review the bioinformatics works that the authors have carried in the recent past and hope the readers would find this book attention grabbing.

Statistical Modelling in Biostatistics and Bioinformatics

Автор: Gilbert MacKenzie; Defen Peng
Название: Statistical Modelling in Biostatistics and Bioinformatics
ISBN: 3319357646 ISBN-13(EAN): 9783319357645
Издательство: Springer
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Цена: 12577.00 р.
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Описание: The coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series and longitudinal data analysis, (c) Statistical model development and (d) Applied statistical modelling.


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