Computational Molecular Evolution (Oxford Series in Ecology and Evolution)

by Ziheng Yang

Publisher: Oxford University Press, USA

Written in English
Cover of: Computational Molecular Evolution (Oxford Series in Ecology and Evolution) | Ziheng Yang
Published: Pages: 376 Downloads: 610
Share This
The Physical Object
Number of Pages376
ID Numbers
Open LibraryOL7401097M
ISBN 100198567022
ISBN 109780198567028

Evolutionary algorithms form a subset of evolutionary computation in that they generally only involve techniques implementing mechanisms inspired by biological evolution such as reproduction, mutation, recombination, natural selection and survival of the fittest. Candidate solutions to the optimization problem play the role of individuals in a population, and the cost function determines the. He joined UCL in , first as a lecturer, then reader and professor. He teaches statistical genetics. He has published about research papers and book chapters in molecular evolution, phylogenetics, population genetics, and computational biology. His program package paml is widely used in the molecular evolution community.5/5(2). Applicants from labs with a strong focus on computational molecular evolution methodology need to carefully outline their motivation for attending the course in this context, since they have ready access to expert supervision and are likely to be very skilled already in the topics we teach, or are in the course of becoming very skilled therein. Over the previous ten years, distinctive progress has occurred inside the analysis of molecular evolution. Among the many many most important parts that are liable for this progress are the occasion of newest statistical methods and advances in computational technology.

Biology Stack Exchange is a question and answer site for biology researchers, academics, and students. Book suggestion on computational molecular evolution. Ask Question Asked 6 years ago. Browse other questions tagged bioinformatics book-recommendation molecular-evolution or . Research in this subgroup is aimed at uncovering biophysical laws of evolution and is specifically applying this new knowledge to the spread of pathogens in human epidemics. Using protein biophysics, we build a bridge between molecular genetics, which studies mutations at a molecular level, and population genetics, which studies the evolution. This book summarizes the statistical models and computational algorithms for comparative analysis of genetic sequence data in the fields of molecular evolution, molecular phylogenetics, and statistical phylogeography. The book presents and explains the models of nucleotide, amino acid, and codon substitution, and their use in calculating pairwise sequence distances and in reconstruction of Author: Ziheng Yang. "This book nicely integrates molecular evolution and bioinformatics, two disciplines that go hand in hand, as rightfully claimed by the authors. Many bioinformatics applications are based on principles of molecular evolution, and to study molecular evolution is unthinkable nowadays without having access to the necessary tools and implementations.

Computational Molecular Evolution (Oxford Series in Ecology and Evolution) by Ziheng Yang Download PDF EPUB FB2

Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics.

Yang describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of Cited by: Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics.

Yang describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of. Buy Computational Molecular Evolution (Oxford Series in Ecology and Evolution) by Yang, Ziheng (ISBN: ) from Amazon's Book Store.

Everyday low prices and free delivery on eligible orders.5/5(2). Computational Molecular Evolution Ziheng Yang Oxford Series in Ecology and Evolution.

Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics. Yang describes the models, methods and algorithms that are most useful for.

This book summarizes the statistical models and computational algorithms for comparative analysis of genetic sequence data in the fields of molecular evolution, molecular phylogenetics, and Author: Ziheng Yang. Computational Molecular Evolution (Oxford Series in Ecology and Evolution series) by Ziheng Yang.

The field of molecular evolution has experienced explosive growth in recent years due to the rapid accumulation of genetic sequence data, continuous improvements to computer hardware and software, and the development of sophisticated analytical.

A molecular evolutionary framework is central to many Bioinformatics approaches used in these analyses. Additionally, explicit use of molecular evolutionary and phylogenetic analyses provide important insights in their own right, e.g., analysis of adaptive evolution in viruses providing clues of their interaction with host immune systems.

Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum Author: Ziheng Yang.

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. "This book nicely integrates molecular evolution and bioinformatics, two disciplines that go hand in hand, as rightfully claimed by the authors. Many bioinformatics applications are based on principles of molecular evolution, and to study molecular evolution is unthinkable nowadays without having access to the necessary tools and implementations.

Buy Computational Molecular Evolution () (): NHBS - Ziheng Yang, Oxford University PressPrice Range: £ - £ O8RTUQ0KPC // Computational Molecular Evolution (Paperback) «Doc Computational Molecular Evolution (Paperback) By Ra Fisher Professor of Statistical Genetics Ziheng Yang Oxford University Press, United Kingdom, Paperback.

Book Condition: New. x mm. Language: English. Brand New Book. The field of molecular evolution has. The field of molecular evolution has experienced explosive growth in recent years due to the rapid accumulation of genetic sequence data, continuous improvements to computer hardware and software, and the development of sophisticated analytical methods.

The increasing availability of large genomic data sets requires powerful statistical methods to analyze and interpret them, generating both. Computational Molecular Evolution book. Read reviews from world’s largest community for readers. The field of molecular evolution has experienced explosi /5.

Get this from a library. Computational molecular evolution. [Ziheng Yang] -- "Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum. Computational molecular evolution is a fast growing research area.

The growth is fertilized by the ease with which a tremendous amount of molecular sequence data can be produced efficiently and a similar growth in the technical development of : Le Sy Vinh, Arndt von Haeseler.

Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and prerequisites, step-by-step, readily reproducible computational protocols (using command line or graphical user interfaces, sometimes including computer code), and tips on.

Buy Computational Molecular Evolution (Oxford Series in Ecology and Evolution) by Yang, Ziheng (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on 5/5(2). Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study forward.

Abstract. In this chapter, we give a brief yet self-contained introduction to computational molecular evolution. In particular, we present the emergence of the use of likelihood-based methods, review the standard DNA substitution models, and introduce how model choice by: Get this from a library.

Computational molecular evolution. [Ziheng Yang] -- Covering the modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics, this book is useful for students and.

Computational Molecular Evolution Ziheng Yang (@) University College London Preface Part I: Modeling Molecular Evolution CHAPTER 1 Models of Nucleotide Substitution Introduction Markov Models of Nucleotide Substitution and Distance Estimation The JC69 Model The K80 Model HKY85, F84, TN93 Size: 66KB.

Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study : Humana Press.

Computational Materials Engineering is an advanced introduction to the computer-aided modeling of essential material properties and behavior, including the physical, thermal and chemical parameters, as well as the mathematical tools used to perform simulations. Its emphasis will be on crystalline materials, which includes all metals.

The basis of Computational Materials Engineering allows. Molecular Evolution: A Statistical Approach is a significant update of Ziheng Yang's previous book Computational Molecular Evolution, which was published in It extends the content of the earlier book in a number of ways.

Most chapters have the same core material as the earlier book but with additional discussion of the more recent : Barbara R. Holland. Annual Reports in Computational Chemistry.

Explore book series content Latest volume All volumes. Volume pp. 1– () Volume pp. 3– () View all volumes. Find out more. About the book series. Search in this book series. Looking for an author or a specific volume/issue. Use advanced search Structures and evolution. Computational Molecular Evolution Ziheng Yang.

YANG “FM” — /9/1 — — PAGE iii — #3 Computational Molecular Evolution who would like to work in this exciting area of computational biology. The book assumes an elementary knowledge of genetics, as provided, for example, by Chapter 1 of Graur and Li ().

Knowledge of. Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics. Yang describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of Price: $ This book provides a comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics.

It describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to Author: Ziheng Yang. He was a co-organizer of the Royal Society Discussion Meeting on "Statistical and computational challenges in molecular phylogenetics and evolution" on 28–29 Apriland the Royal Society Discussion Meeting on "Dating species divergence using rocks and clocks", on 9–10 November Alma mater: Beijing Agricultural University.

In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive introduction to bioinformatics in the context of evolutionary biology. This accessible text: provides a thorough examination of sequence analysis, biological databases, pattern recognition, and applications to genomics, microarrays, and proteomics emphasizes the.Molecular Evolution: a statistical approach presents and explains modern statistical methods and computational algorithms for the comparative analysis of genetic sequence data in the fields of molecular evolution, molecular phylogenetics, statistical phylogeography, and comparative genomics/5(10).This book constitutes the refereed proceedings of the 17th Annual International Conference on Research in Computational Molecular Biology, RECOMBheld in Beijing, China, in April The 32 revised full papers were carefully reviewed and selected from submissions.