Models And Algorithms For Whole Genome Evolution And Their Use In Phylogenetic Inference
DOWNLOAD
Download Models And Algorithms For Whole Genome Evolution And Their Use In Phylogenetic Inference PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Models And Algorithms For Whole Genome Evolution And Their Use In Phylogenetic Inference book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Models And Algorithms For Genome Evolution
DOWNLOAD
Author : Cedric Chauve
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-17
Models And Algorithms For Genome Evolution written by Cedric Chauve 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 2013-09-17 with Computers categories.
This authoritative text/reference presents a review of the history, current status, and potential future directions of computational biology in molecular evolution. Gathering together the unique insights of an international selection of prestigious researchers, this must-read volume examines the latest developments in the field, the challenges that remain, and the new avenues emerging from the growing influx of sequence data. These viewpoints build upon the pioneering work of David Sankoff, one of the founding fathers of computational biology, and mark the 50th anniversary of his first scientific article. The broad spectrum of rich contributions in this essential collection will appeal to all computer scientists, mathematicians and biologists involved in comparative genomics, phylogenetics and related areas.
Models And Algorithms For Whole Genome Evolution And Their Use In Phylogenetic Inference
DOWNLOAD
Author : Yu Lin
language : en
Publisher:
Release Date : 2012
Models And Algorithms For Whole Genome Evolution And Their Use In Phylogenetic Inference written by Yu Lin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Algorithms In Bioinformatics
DOWNLOAD
Author : Teresa M. Przytycka
language : en
Publisher: Springer
Release Date : 2011-08-31
Algorithms In Bioinformatics written by Teresa M. Przytycka and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-31 with Computers categories.
This book constitutes the refereed proceedings of the 11th International Workshop on Algorithms in Bioinformatics, WABI 2011, held in Saarbrücken, Germany, in September 2011. The 30 papers presented were carefully reviewed and selected from 77 submissions. They cover aspects of algorithms in bioinformatics, computational biology and systems biology.
Statistical Methods In Molecular Evolution
DOWNLOAD
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
Algorithms In Bioinformatics
DOWNLOAD
Author : Aaron Darling
language : en
Publisher: Springer
Release Date : 2013-08-16
Algorithms In Bioinformatics written by Aaron Darling and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-16 with Computers categories.
This book constitutes the refereed proceedings of the 13th International Workshop on Algorithms in Bioinformatics, WABI 2013, held in Sophia Antipolis, France, in September 2013. WABI 2013 is one of seven workshops which, along with the European Symposium on Algorithms (ESA), constitute the ALGO annual meeting and highlights research in algorithmic work for bioinformatics, computational biology and systems biology. The goal is to present recent research results, including significant work-in-progress, and to identify and explore directions of future research. The 27 full papers presented were carefully reviewed and selected from 61 submissions. The papers cover all aspects of algorithms in bioinformatics, computational biology and systems biology.
Atlas Of Protein Sequence And Structure
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1969
Atlas Of Protein Sequence And Structure written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Amino acid sequence categories.
Phylogenomics
DOWNLOAD
Author : Igor Mokrousov
language : en
Publisher: Elsevier
Release Date : 2024-05-17
Phylogenomics written by Igor Mokrousov and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-17 with Medical categories.
Phylogenomics: Foundations, Methods, and Pathogen Analysis offers a deep overview of phylogenomics as a field, compelling recent developments, and detailed methods and approaches for conducting new research. Early chapters introduce phylogenomic taxonomies of organisms and pathogens, phylogenomic networks, phylogenomics of virus virulence, and ancient DNA analysis, with a second section offering methods, detailed descriptions and step-by-step instruction in genome assembly and annotation, horizontal gene transfer studies, Bayesian evaluation, phylogenetic tree building, microbial evolution modeling, and molecular epidemiology. The book's final section offers various examples of phylogenomic analysis across medically significant bacteria and viruses, including Yersinia pestis, Salmonella, Shigella, Vibrio cholera, and Mycobacterium tuberculosis, amongst others. - Offers a full overview of phylogenetics and phylogenomics, from its foundations to methods and specialized case studies - Presents methodologies and algorithms for phylogenomic research studies and analyzes medically significant microorganisms - Considers examples of phylogenomic analysis across a range of medically significant pathogens - Includes chapter contributions from leading international experts
Handbook Of Statistical Genetics
DOWNLOAD
Author : David J. Balding
language : en
Publisher: John Wiley & Sons
Release Date : 2008-06-10
Handbook Of Statistical Genetics 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 2008-06-10 with Science categories.
The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance. As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research. Edited by the leading international authorities in the field. David Balding - Department of Epidemiology & Public Health, Imperial College An advisor for our Probability & Statistics series, Professor Balding is also a previous Wiley author, having written Weight-of-Evidence for Forensic DNA Profiles, as well as having edited the two previous editions of HSG. With over 20 years teaching experience, he’s also had dozens of articles published in numerous international journals. Martin Bishop – Head of the Bioinformatics Division at the HGMP Resource Centre As well as the first two editions of HSG, Dr Bishop has edited a number of introductory books on the application of informatics to molecular biology and genetics. He is the Associate Editor of the journal Bioinformatics and Managing Editor of Briefings in Bioinformatics. Chris Cannings – Division of Genomic Medicine, University of Sheffield With over 40 years teaching in the area, Professor Cannings has published over 100 papers and is on the editorial board of many related journals. Co-editor of the two previous editions of HSG, he also authored a book on this topic.
Bayesian Phylogenetics
DOWNLOAD
Author : Ming-Hui Chen
language : en
Publisher: CRC Press
Release Date : 2014-05-27
Bayesian Phylogenetics written by Ming-Hui Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-27 with Mathematics categories.
Offering a rich diversity of models, Bayesian phylogenetics allows evolutionary biologists, systematists, ecologists, and epidemiologists to obtain answers to very detailed phylogenetic questions. Suitable for graduate-level researchers in statistics and biology, Bayesian Phylogenetics: Methods, Algorithms, and Applications presents a snapshot of c
Ai 2009 Advances In Artificial Intelligence
DOWNLOAD
Author : Ann Nicholson
language : en
Publisher: Springer
Release Date : 2009-11-18
Ai 2009 Advances In Artificial Intelligence written by Ann Nicholson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-18 with Computers categories.
This book constitutes the refereed proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence, AI 2009, held in Melbourne, Australia, in December 2009. The 68 revised full papers presented were carefully reviewed and selected from 174 submissions. The papers are organized in topical sections on agents; AI applications; computer vision and image processing; data mining and statistical learning; evolutionary computing; game playing; knowledge representation and reasoning; natural language and speech processing; soft computing; and user modelling.