Probability Models for DNA Sequence Evolution

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Publisher : Springer Science & Business Media
ISBN 13 : 1475762852
Total Pages : 246 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Probability Models for DNA Sequence Evolution by : Rick Durrett

Download or read book Probability Models for DNA Sequence Evolution written by Rick Durrett and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: "What underlying forces are responsible for the observed patterns of variability, given a collection of DNA sequences?" In approaching this question a number of probability models are introduced and anyalyzed.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies that illustrate the use of these results.

Probability Models for DNA Sequence Evolution

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Publisher : Springer Science & Business Media
ISBN 13 : 0387781692
Total Pages : 442 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Probability Models for DNA Sequence Evolution by : Richard Durrett

Download or read book Probability Models for DNA Sequence Evolution written by Richard Durrett and published by Springer Science & Business Media. This book was released on 2008-12-15 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: "What underlying forces are responsible for the observed patterns of variability, given a collection of DNA sequences?" In approaching this question a number of probability models are introduced and anyalyzed.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies that illustrate the use of these results.

Probability Models for DNA Sequence Evolution

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Publisher : Springer Science & Business Media
ISBN 13 : 9780387954356
Total Pages : 342 pages
Book Rating : 4.9/5 (543 download)

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Book Synopsis Probability Models for DNA Sequence Evolution by : Richard Durrett

Download or read book Probability Models for DNA Sequence Evolution written by Richard Durrett and published by Springer Science & Business Media. This book was released on 2002 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many researchers in statistics, biology, mathematics, and computer science are working in the area of genetics. This book presents mathematical techniques for understanding sequence evolution. Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies from the biology literature that illustrate the use of these results. This book is written for mathematicians and for biologists alike. It assumes no previous knowledge of concepts from biology and only a basic knowledge of probability.

Models DNA Sequence Evolution

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Publisher :
ISBN 13 : 9781682511275
Total Pages : 208 pages
Book Rating : 4.5/5 (112 download)

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Book Synopsis Models DNA Sequence Evolution by : Models DNA sequence evolution

Download or read book Models DNA Sequence Evolution written by Models DNA sequence evolution and published by . This book was released on 2016 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Models of DNA Sequence Evolution

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Publisher : Koros Press
ISBN 13 : 9781781631430
Total Pages : 248 pages
Book Rating : 4.6/5 (314 download)

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Book Synopsis Models of DNA Sequence Evolution by : James Lennox

Download or read book Models of DNA Sequence Evolution written by James Lennox and published by Koros Press. This book was released on 2012-08 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: No further information has been provided for this title.

Probability Models for DNA Sequence Evolution

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Publisher :
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis Probability Models for DNA Sequence Evolution by : Rick Durrett

Download or read book Probability Models for DNA Sequence Evolution written by Rick Durrett and published by . This book was released on 2002 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Sequence — Evolution — Function

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Publisher : Springer Science & Business Media
ISBN 13 : 1475737831
Total Pages : 482 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Sequence — Evolution — Function by : Eugene V. Koonin

Download or read book Sequence — Evolution — Function written by Eugene V. Koonin and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Biological Sequence Analysis

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Publisher : Cambridge University Press
ISBN 13 : 113945739X
Total Pages : 372 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Biological Sequence Analysis by : Richard Durbin

Download or read book Biological Sequence Analysis written by Richard Durbin and published by Cambridge University Press. This book was released on 1998-04-23 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.

Models of DNA Sequence Evolution and Applications to Hypothesis Testing

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Publisher :
ISBN 13 :
Total Pages : 298 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Models of DNA Sequence Evolution and Applications to Hypothesis Testing by : Katy L. Simonsen

Download or read book Models of DNA Sequence Evolution and Applications to Hypothesis Testing written by Katy L. Simonsen and published by . This book was released on 1996 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Research Reports

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (913 download)

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Book Synopsis Research Reports by :

Download or read book Research Reports written by and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probabilistic Models of DNA Sequence Evolution with Context Dependeent Rates of Substitution

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Publisher :
ISBN 13 :
Total Pages : 21 pages
Book Rating : 4.:/5 (924 download)

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Book Synopsis Probabilistic Models of DNA Sequence Evolution with Context Dependeent Rates of Substitution by :

Download or read book Probabilistic Models of DNA Sequence Evolution with Context Dependeent Rates of Substitution written by and published by . This book was released on 1998 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:

MODELS OF DNA SEQUENCE EVOLUTION.

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Publisher :
ISBN 13 : 9789391096519
Total Pages : 0 pages
Book Rating : 4.0/5 (965 download)

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Book Synopsis MODELS OF DNA SEQUENCE EVOLUTION. by : R.N. SHUKLA

Download or read book MODELS OF DNA SEQUENCE EVOLUTION. written by R.N. SHUKLA and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probabilistic Models of DNA Sequence Evolution with Context Dependent Rates of Substitution

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Publisher :
ISBN 13 :
Total Pages : 21 pages
Book Rating : 4.:/5 (247 download)

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Book Synopsis Probabilistic Models of DNA Sequence Evolution with Context Dependent Rates of Substitution by : Jens Ledet Jensen

Download or read book Probabilistic Models of DNA Sequence Evolution with Context Dependent Rates of Substitution written by Jens Ledet Jensen and published by . This book was released on 1998 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Basic Probability Models for DNA Sequence Evolution

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Basic Probability Models for DNA Sequence Evolution by : Tania Rosso

Download or read book Basic Probability Models for DNA Sequence Evolution written by Tania Rosso and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Phylogenetic Handbook

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Publisher : Cambridge University Press
ISBN 13 : 0521877105
Total Pages : 750 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis The Phylogenetic Handbook by : Marco Salemi

Download or read book The Phylogenetic Handbook written by Marco Salemi and published by Cambridge University Press. This book was released on 2009-03-26 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: A broad, hands on guide with detailed explanations of current methodology, relevant exercises and popular software tools.

Statistical Methods in Molecular Evolution

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Publisher : Springer Science & Business Media
ISBN 13 : 0387277331
Total Pages : 503 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Statistical Methods in Molecular Evolution by : Rasmus Nielsen

Download or read book Statistical Methods in Molecular Evolution written by Rasmus Nielsen and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related species, molecular evolution has become one of the most active and fastest growing fields of study in genomics and bioinformatics. Most studies in molecular evolution rely heavily on statistical procedures based on stochastic process modelling and advanced computational methods including high-dimensional numerical optimization and Markov Chain Monte Carlo. This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes an introductory section suitable for readers that are new to the field, a section discussing practical methods for data analysis, and more specialized sections discussing specific models and addressing statistical issues relating to estimation and model choice. The chapters are written by the leaders of field and they will take the reader from basic introductory material to the state-of-the-art statistical methods. This book is suitable for statisticians seeking to learn more about applications in molecular evolution and molecular evolutionary biologists with an interest in learning more about the theory behind the statistical methods applied in the field. The chapters of the book assume no advanced mathematical skills beyond basic calculus, although familiarity with basic probability theory will help the reader. Most relevant statistical concepts are introduced in the book in the context of their application in molecular evolution, and the book should be accessible for most biology graduate students with an interest in quantitative methods and theory. Rasmus Nielsen received his Ph.D. form the University of California at Berkeley in 1998 and after a postdoc at Harvard University, he assumed a faculty position in Statistical Genomics at Cornell University. He is currently an Ole Rømer Fellow at the University of Copenhagen and holds a Sloan Research Fellowship. His is an associate editor of the Journal of Molecular Evolution and has published more than fifty original papers in peer-reviewed journals on the topic of this book. From the reviews: "...Overall this is a very useful book in an area of increasing importance." Journal of the Royal Statistical Society "I find Statistical Methods in Molecular Evolution very interesting and useful. It delves into problems that were considered very difficult just several years ago...the book is likely to stimulate the interest of statisticians that are unaware of this exciting field of applications. It is my hope that it will also help the 'wet lab' molecular evolutionist to better understand mathematical and statistical methods." Marek Kimmel for the Journal of the American Statistical Association, September 2006 "Who should read this book? We suggest that anyone who deals with molecular data (who does not?) and anyone who asks evolutionary questions (who should not?) ought to consult the relevant chapters in this book." Dan Graur and Dror Berel for Biometrics, September 2006 "Coalescence theory facilitates the merger of population genetics theory with phylogenetic approaches, but still, there are mostly two camps: phylogeneticists and population geneticists. Only a few people are moving freely between them. Rasmus Nielsen is certainly one of these researchers, and his work so far has merged many population genetic and phylogenetic aspects of biological research under the umbrella of molecular evolution. Although Nielsen did not contribute a chapter to his book, his work permeates all its chapters. This book gives an overview of his interests and current achievements in molecular evolution. In short, this book should be on your bookshelf." Peter Beerli for Evolution, 60(2), 2006

Bioinformatics for DNA Sequence Analysis

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Publisher : Humana Press
ISBN 13 : 9781588299109
Total Pages : 354 pages
Book Rating : 4.2/5 (991 download)

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Book Synopsis Bioinformatics for DNA Sequence Analysis by : David Posada

Download or read book Bioinformatics for DNA Sequence Analysis written by David Posada and published by Humana Press. This book was released on 2009-05-07 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent accumulation of information from genomes, including their sequences, has resultednotonlyinnewattemptstoansweroldquestionsandsolvelongstandingissues inbiology,butalsointheformulationofnovelhypothesesthatarisepreciselyfromthis wealth of data. The storage, processing, description, transmission, connection, and analysis of these data has prompted bioinformatics to become one the most relevant applied sciences for this new century, walking hand-in-hand with modern molecular biology and clearly impacting areas like biotechnology and biomedicine. Bioinformatics skills have now become essential for many scientists working with DNA sequences. With this idea in mind, this book aims to provide practical guidance andtroubleshootingadviceforthecomputationalanalysisofDNAsequences,covering a range of issues and methods that unveil the multitude of applications and relevance that Bioinformatics has today. The analysis of protein sequences has been purposely excludedtogainfocus.Individualbookchaptersareorientedtowardthedescriptionof theuseofspecificbioinformaticstools,accompaniedbypracticalexamples,adiscussion on the interpretation of results, and specific comments on strengths and limitations of the methods and tools. In a sense, chapters could be seen as enriched task-oriented manuals that will direct the reader in completing specific bioinformatics analyses. The target audience for this book is biochemists, and molecular and evolutionary biologiststhatwanttolearnhowtoanalyzeDNAsequencesinasimplebutmeaningful fashion. Readers do not need a special background in statistics, mathematics, or computer science, just a basic knowledge of molecular biology and genetics. All the tools described in the book are free and all of them can be downloaded or accessed throughtheweb.Mostchapterscouldbeusedforpracticaladvancedundergraduateor graduate-level courses in bioinformatics and molecular evolution.