Statistical Analysis Of Molecular And Genomic Evolution

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Statistical Analysis Of Molecular And Genomic Evolution

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Author : Xun Gu
language : en
Publisher: Oxford University Press
Release Date : 2024-04-30

Statistical Analysis Of Molecular And Genomic Evolution written by Xun Gu and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-30 with Mathematics categories.

Proposes a new framework of knowledge for the field of evolutionary genomics. Written at the simplest mathematical level whilst offering a clear explanation of complex statistical models and principles.

Statistical Analysis Of Molecular And Genomic Evolution

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Author : Xun Gu
language : en
Publisher: Oxford University Press
Release Date : 2024-10-08

Statistical Analysis Of Molecular And Genomic Evolution written by Xun Gu and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Science categories.

The field of molecular and genomic evolution has been catalysed by the ever increasing availability of high throughput data such as transcriptome evolution, genotype-phenotype evolution, and genetic robustness. However, there is also an urgent requirement for the emergence of new paradigms (universally accepted scientific frameworks) supported by conceptual breakthroughs, since there is now widespread agreement that genome evolution research should be far more than a static pattern characterized by some well-known arguments and yet more big data for testing or extension. Furthermore, while the internet has made a vast body of literature and data widely accessible, researchers are increasingly facing significant challenges in how to select from this huge reserve appropriately and systematically. Statistical Analysis of Molecular and Genomic Evolution sets out to provide a solution to the most frequently asked question by next-generation young researchers in the area of evolutionary genomics: What is the knowledge that is essential for moving the research forward and where can it be found? Although the book incorporates the latest research foci, it is written at the simplest mathematical level whilst sophisticated enough to provide a deep understanding of current principles and methods. Technical issues are described only briefly, mathematical derivations are kept to a minimum, and it is structured and presented in a way that encourages its use as a graduate textbook. Mindful of the steep learning curve that some biologist readers may face, online appendices review basic mathematical and statistical concepts used in the book, and provide further examples and practical exercises. This is an advanced textbook suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of molecular phylogenetics, evolutionary biology, bioinformatics, mathematics, and statistics.

Statistical Methods In Molecular Evolution

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Author : Rasmus Nielsen
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-06

Statistical Methods In Molecular Evolution written by Rasmus Nielsen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-06 with Science categories.

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 And Evolutionary Analysis Of Biological Networks

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Author : Michael P. H. Stumpf
language : en
Publisher: World Scientific
Release Date : 2010

Statistical And Evolutionary Analysis Of Biological Networks written by Michael P. H. Stumpf and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Science categories.

Networks provide a very useful way to describe a wide range of different data types in biology, physics and elsewhere. Apart from providing a convenient tool to visualize highly dependent data, networks allow stringent mathematical and statistical analysis. In recent years, much progress has been achieved to interpret various types of biological network data such as transcriptomic, metabolomic and protein interaction data as well as epidemiological data. Of particular interest is to understand the organization, complexity and dynamics of biological networks and how these are influenced by network evolution and functionality. This book reviews and explores statistical, mathematical and evolutionary theory and tools in the understanding of biological networks. The book is divided into comprehensive and self-contained chapters, each of which focuses on an important biological network type, explains concepts and theory and illustrates how these can be used to obtain insight into biologically relevant processes and questions. There are chapters covering metabolic, transcriptomic, protein interaction and epidemiological networks as well as chapters that deal with theoretical and conceptual material. The authors, who contribute to the book, are active, highly regarded and well-known in the network community.

Genomic Evolution

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Author : M. Prakash
language : en
Publisher: Discovery Publishing House
Release Date : 2007

Genomic Evolution written by M. Prakash and has been published by Discovery Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Biochemistry categories.

This book is the outcome of the dissertation submitted to Berhampur University in partial fulfillment of requirements for the degree of Master of Philosophy. And it deals with the need and importance of tourism on economic development. The importance of tourism as a contributor of economic growth is so widely accepted that year after year throughout the world. Now however, an account of fast expansion of tourism, a large number of economic benefits are flowing from this industry. The study highlights the tourism potential at Chilika Lake, Orissa, India. And mainly deals on the influence of socio-economic variables on demand for recreation in Chilika, to appreciate the willingness to pay of tourists for conservation and protection of Chilika, and estimate the total recreation value of the lake. It is hoped that the book will be immensely useful in guiding the policy makers, planners, administrators, environmentalist and researchers in formulating policy paradigms in India.

Handbook Of Statistical Genomics

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Author : David J. Balding
language : en
Publisher: John Wiley & Sons
Release Date : 2019-09-10

Handbook Of Statistical Genomics written by David J. Balding and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-10 with Science categories.

A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.

Topological Data Analysis For Genomics And Evolution

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Author : Raul Rabadan
language : en
Publisher: Cambridge University Press
Release Date : 2019-12-19

Topological Data Analysis For Genomics And Evolution written by Raul Rabadan and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-19 with Mathematics categories.

An introduction to geometric and topological methods to analyze large scale biological data; includes statistics and genomic applications.

Handbook Of Statistical Bioinformatics

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Author : Henry Horng-Shing Lu
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-17

Handbook Of Statistical Bioinformatics written by Henry Horng-Shing Lu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-17 with Mathematics categories.

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 and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology.

Computational Analysis Of Genome Evolution

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Author : Aaron E. Darling
language : en
Publisher:
Release Date : 2006

Computational Analysis Of Genome Evolution written by Aaron E. Darling and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.

Genomes Evolution And Culture

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Author : Rene J. Herrera
language : en
Publisher: John Wiley & Sons
Release Date : 2016-03-01

Genomes Evolution And Culture written by Rene J. Herrera and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-01 with Science categories.

This book combines recent information and discoveries in the field of human molecular biology and human molecular evolution. It provides an interdisciplinary approach drawing together data from various diverse disciplines to address both the more classical anthropological content and the current more contemporary molecular focus of courses. Chapters include a history of human evolutionary genetics; the human genome structure and function; population structure and variability; gene and genomic dynamics; culture; health and disease; bioethics; future.