Statistical Methods In Molecular Evolution PDF Books

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Statistical Methods In Molecular Evolution

Statistical Methods In Molecular Evolution
Author: Rasmus Nielsen
Publisher: Springer Science & Business Media
ISBN: 9780387223339
Size: 26.20 MB
Format: PDF
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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
Statistical Methods in Molecular Evolution
Language: en
Pages: 505
Authors: Rasmus Nielsen
Categories: Science
Type: BOOK - Published: 2005-04-21 - Publisher: Springer Science & Business Media
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
Molecular Evolution
Language: en
Pages: 528
Authors: Ziheng Yang
Categories: Science
Type: BOOK - Published: 2014-05-16 - Publisher: OUP Oxford
Studies of evolution at the molecular level have experienced phenomenal growth in the last few decades, due to rapid accumulation of genetic sequence data, improved computer hardware and software, and the development of sophisticated analytical methods. The flood of genomic data has generated an acute need for powerful statistical methods
Statistical Methods in Molecular Evolution
Language: en
Pages: 505
Authors: Rasmus Nielsen
Categories: Science
Type: BOOK - Published: 2006-03-30 - Publisher: Springer Science & Business Media
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
Evolutionary Genomics
Language: en
Pages: 556
Authors: Maria Anisimova
Categories: Medical
Type: BOOK - Published: 2012-03-08 - Publisher: Humana Press
Together with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent
Molecular Evolution and Phylogenetics
Language: en
Pages: 352
Authors: Masatoshi Nei, Sudhir Kumar
Categories: Science
Type: BOOK - Published: 2000-07-27 - Publisher: Oxford University Press
During the last ten years, remarkable progress has occurred in the study of molecular evolution. Among the most important factors that are responsible for this progress are the development of new statistical methods and advances in computational technology. In particular, phylogenetic analysis of DNA or protein sequences has become a
Statistical Models and Methods in Molecular Evolution
Language: en
Pages: 254
Authors: Trang Diem Nguyen
Categories: Science
Type: BOOK - Published: 1991 - Publisher:
Books about Statistical Models and Methods in Molecular Evolution
Computational Methods in Biomedical Research
Language: en
Pages: 432
Authors: Ravindra Khattree, Dayanand Naik
Categories: Mathematics
Type: BOOK - Published: 2007-12-12 - Publisher: CRC Press
Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging computational statistical methods that
The Evaluation of Surrogate Endpoints
Language: en
Pages: 408
Authors: Geert Molenberghs, Tomasz Burzykowski, Marc Buyse
Categories: Mathematics
Type: BOOK - Published: 2005-02-28 - Publisher: Springer Science & Business Media
The identification and use of surrogate endpoints, i.e., measures that can replace or supplement other endpoints in evaluations of experimental treatments or other interventions, is a general strategy that has stimulated both enthusiasm and scepticism. This book offers a balanced account on this controversial topic.
Handbook of Statistical Bioinformatics
Language: en
Pages: 630
Authors: Henry Horng-Shing Lu, Bernhard Schölkopf, Hongyu Zhao
Categories: Mathematics
Type: BOOK - Published: 2011-05-17 - Publisher: Springer Science & Business Media
Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics
Molecular Evolution, Producing the Biochemical Data
Language: en
Pages: 896
Authors: Henry Horng-Shing Lu, Bernhard Schölkopf, Hongyu Zhao
Categories: Science
Type: BOOK - Published: 2005-06-15 - Publisher: Elsevier
The critically acclaimed laboratory standard, Methods in Enzymology, is one of the most highly respected publications in the field of biochemistry. Since 1955, each volume has been eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. The series contains much material still relevant today - truly an essential