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Author: Sumeet Kumar
Publisher:
ISBN:
Category : Nucleotide sequence
Languages : en
Pages : 130
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Book Description
Author: Sumeet Kumar
Publisher:
ISBN:
Category : Nucleotide sequence
Languages : en
Pages : 130
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Book Description
Author: Michael M. Miyamoto
Publisher: Oxford University Press, USA
ISBN: 0195066987
Category : DNA
Languages : en
Pages : 369
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Book Description
With increasing frequency, systematic and evolutionary biologists have turned to the techniques of molecular biology to complement their traditional morphological and anatomical approaches to questions of historical relationship and descent among groups of animals and plants. In particular, the comparative analysis of DNA sequences is becoming a common and important focus of research attention today. This volume surveys the emerging field of molecular systematics of DNA sequences by focusing on the following topics: DNA sequence data acquisition; phylogenetic inference; congruence and consensus problems; limitations of molecular data; and integration of molecular and morphological data sets. The volume takes its inspiration from a major symposium sponsored by the American Society of Zoologists and the Society of Systematic Zoology in December, 1989.
Author: Barry G. Hall
Publisher: Sinauer Associates, Incorporated
ISBN:
Category : Science
Languages : en
Pages : 258
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Book Description
Barry G. Hall helps beginners get started in creating phylogenetic trees from protein or nucleic acid sequence data.
Author: Marco Salemi
Publisher: Cambridge University Press
ISBN: 0521877105
Category : Science
Languages : en
Pages : 750
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Book Description
A broad, hands on guide with detailed explanations of current methodology, relevant exercises and popular software tools.
Author: Marco Salemi
Publisher: Cambridge University Press
ISBN: 9780521803908
Category : Computers
Languages : en
Pages : 456
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Book Description
Sample Text
Author: Yihui Xie
Publisher: CRC Press
ISBN: 1000290883
Category : Business & Economics
Languages : en
Pages : 353
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Book Description
This new book written by the developers of R Markdown is an essential reference that will help users learn and make full use of the software. Those new to R Markdown will appreciate the short, practical examples that address the most common issues users encounter. Frequent users will also benefit from the wide ranging tips and tricks that expose ‘hidden’ features, support customization and demonstrate the many new and varied applications of the software. After reading this book users will learn how to: Enhance your R Markdown content with diagrams, citations, and dynamically generated text Streamline your workflow with child documents, code chunk references, and caching Control the formatting and layout with Pandoc markdown syntax or by writing custom HTML and LaTeX templates Utilize chunk options and hooks to fine-tune how your code is processed Switch between different language engineers to seamlessly incorporate python, D3, and more into your analysis
Author: Emmanuel Paradis
Publisher: Springer Science & Business Media
ISBN: 0387351000
Category : Science
Languages : en
Pages : 221
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Book Description
This book integrates a wide variety of data analysis methods into a single and flexible interface: the R language. The book starts with a presentation of different R packages and gives a short introduction to R for phylogeneticists unfamiliar with this language. The basic phylogenetic topics are covered. The chapter on tree drawing uses R's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devoted to the development of phylogenetic methods with R and interfaces with other languages (C and C++). Some exercises conclude these chapters.
Author: Roderick D.M. Page
Publisher: John Wiley & Sons
ISBN: 1444313363
Category : Science
Languages : en
Pages : 352
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Book Description
The study of evolution at the molecular level has given the subject of evolutionary biology a new significance. Phylogenetic 'trees' of gene sequences are a powerful tool for recovering evolutionary relationships among species, and can be used to answer a broad range of evolutionary and ecological questions. They are also beginning to permeate the medical sciences. In this book, the authors approach the study of molecular evolution with the phylogenetic tree as a central metaphor. This will equip students and professionals with the ability to see both the evolutionary relevance of molecular data, and the significance evolutionary theory has for molecular studies. The book is accessible yet sufficiently detailed and explicit so that the student can learn the mechanics of the procedures discussed. The book is intended for senior undergraduate and graduate students taking courses in molecular evolution/phylogenetic reconstruction. It will also be a useful supplement for students taking wider courses in evolution, as well as a valuable resource for professionals. First student textbook of phylogenetic reconstruction which uses the tree as a central metaphor of evolution. Chapter summaries and annotated suggestions for further reading. Worked examples facilitate understanding of some of the more complex issues. Emphasis on clarity and accessibility.
Author: Eugene V. Koonin
Publisher: Springer Science & Business Media
ISBN: 1475737831
Category : Science
Languages : en
Pages : 482
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Book Description
Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.
Author: Douglas Barrick
Publisher: CRC Press
ISBN: 131536302X
Category : Medical
Languages : en
Pages : 553
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Book Description
"an impressive text that addresses a glaring gap in the teaching of physical chemistry, being specifically focused on biologically-relevant systems along with a practical focus.... the ample problems and tutorials throughout are much appreciated." –Tobin R. Sosnick, Professor and Chair of Biochemistry and Molecular Biology, University of Chicago "Presents both the concepts and equations associated with statistical thermodynamics in a unique way that is at visual, intuitive, and rigorous. This approach will greatly benefit students at all levels." –Vijay S. Pande, Henry Dreyfus Professor of Chemistry, Stanford University "a masterful tour de force.... Barrick's rigor and scholarship come through in every chapter." –Rohit V. Pappu, Edwin H. Murty Professor of Engineering, Washington University in St. Louis This book provides a comprehensive, contemporary introduction to developing a quantitative understanding of how biological macromolecules behave using classical and statistical thermodynamics. The author focuses on practical skills needed to apply the underlying equations in real life examples. The text develops mechanistic models, showing how they connect to thermodynamic observables, presenting simulations of thermodynamic behavior, and analyzing experimental data. The reader is presented with plenty of exercises and problems to facilitate hands-on learning through mathematical simulation. Douglas E. Barrick is a professor in the Department of Biophysics at Johns Hopkins University. He earned his Ph.D. in biochemistry from Stanford University, and a Ph.D. in biophysics and structural biology from the University of Oregon.
