Species Tree Inference

Species Tree Inference
Author: Laura Kubatko
Publisher: Princeton University Press
Total Pages: 352
Release: 2023-03-14
Genre: Science
ISBN: 0691245150

An up-to-date reference book on phylogenetic methods and applications for evolutionary biologists The increasingly widespread availability of genomic data is transforming how biologists estimate evolutionary relationships among organisms and broadening the range of questions that researchers can test in a phylogenetic framework. Species Tree Inference brings together many of today’s leading scholars in the field to provide an incisive guide to the latest practices for analyzing multilocus sequence data. This wide-ranging and authoritative book gives detailed explanations of emerging new approaches and assesses their strengths and challenges, offering an invaluable context for gauging which procedure to apply given the types of genomic data and processes that contribute to differences in the patterns of inheritance across loci. It demonstrates how to apply these approaches using empirical studies that span a range of taxa, timeframes of diversification, and processes that cause the evolutionary history of genes across genomes to differ. By fully embracing this genomic heterogeneity, Species Tree Inference illustrates how to address questions beyond the goal of estimating phylogenetic relationships of organisms, enabling students and researchers to pursue their own research in statistically sophisticated ways while charting new directions of scientific discovery.

Bioinformatics and Phylogenetics

Bioinformatics and Phylogenetics
Author: Tandy Warnow
Publisher: Springer
Total Pages: 410
Release: 2019-04-08
Genre: Computers
ISBN: 3030108376

This volume presents a compelling collection of state-of-the-art work in algorithmic computational biology, honoring the legacy of Professor Bernard M.E. Moret in this field. Reflecting the wide-ranging influences of Prof. Moret’s research, the coverage encompasses such areas as phylogenetic tree and network estimation, genome rearrangements, cancer phylogeny, species trees, divide-and-conquer strategies, and integer linear programming. Each self-contained chapter provides an introduction to a cutting-edge problem of particular computational and mathematical interest. Topics and features: addresses the challenges in developing accurate and efficient software for the NP-hard maximum likelihood phylogeny estimation problem; describes the inference of species trees, covering strategies to scale phylogeny estimation methods to large datasets, and the construction of taxonomic supertrees; discusses the inference of ultrametric distances from additive distance matrices, and the inference of ancestral genomes under genome rearrangement events; reviews different techniques for inferring evolutionary histories in cancer, from the use of chromosomal rearrangements to tumor phylogenetics approaches; examines problems in phylogenetic networks, including questions relating to discrete mathematics, and issues of statistical estimation; highlights how evolution can provide a framework within which to understand comparative and functional genomics; provides an introduction to Integer Linear Programming and its use in computational biology, including its use for solving the Traveling Salesman Problem. Offering an invaluable source of insights for computer scientists, applied mathematicians, and statisticians, this illuminating volume will also prove useful for graduate courses on computational biology and bioinformatics.

The Phylogenetic Handbook

The Phylogenetic Handbook
Author: Marco Salemi
Publisher: Cambridge University Press
Total Pages: 750
Release: 2009-03-26
Genre: Science
ISBN: 0521877105

A broad, hands on guide with detailed explanations of current methodology, relevant exercises and popular software tools.

Topics in Phylogenetic Species Tree Inference Under the Coalescent Model

Topics in Phylogenetic Species Tree Inference Under the Coalescent Model
Author: Yuan Tian
Publisher:
Total Pages: 160
Release: 2016
Genre:
ISBN:

Phylogenetic tree inference is a fundamental tool to estimate the ancestor-descendant relationships for different species. Currently, it is of great interest to explore the evolutionary relationships for a set of species for which DNA data have been collected and thus accurate and efficient methods are required to estimate phylogenetic trees. However, because the evolutionary relationships can be analyzed at two distinct levels (gene trees and species trees), and it is not necessary for the gene trees and species trees to agree with one another, phylogenetic inference has become increasingly complicated. Incomplete lineage sorting (ILS) is considered to be one of the major factors that cause disagreement between species trees and gene trees. The coalescent process is a widely-accepted model for ILS, and numerous genealogy-based phylogenetic inference methods have been established based on the coalescent model. In this thesis, coalescent-based methods for phylogenetic tree inference are studied. In Chapter 2, the expected amount of incongruence between gene trees under the same species tree is considered. More specifically, the extent of gene tree incongruence arising from incomplete lineage sorting, as modeled by the coalescent process, is computed. The results in Chapter 2 highlight the fact that substantial discordance among gene trees may occur, even when the number of species is very small. In Chapter 3, a coalescent model for three species that allows gene flow between both pairs of sister populations is proposed, and the resulting gene tree history distribution is derived. The results suggest conditions under which the species tree and associated parameters, such as the ancestral effective population sizes and the rates of gene flow, are not identifiable from the gene tree topology distribution when gene flow is present, but indicate that the coalescent history distribution may identify the species tree and associated parameters. In Chapter 4, a rooting method based on the site pattern probabilities under the coalescent model is developed. The proposed technique provides a method to root every four-taxon species tree within a larger species tree of more than four taxa. The inferred roots for the four-taxon subtrees are then used together to estimate the root for the larger species tree. This rooting method is a computationally feasible method, and is the first method proposed to root a species tree that explicitly incorporates the coalescent process.

Molecular Evolution

Molecular Evolution
Author: Ziheng Yang
Publisher: Oxford University Press
Total Pages: 509
Release: 2014
Genre: Science
ISBN: 0199602603

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 and efficient computational algorithms to enable their effective analysis and interpretation. 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. Written by an expert in the field, the book emphasizes conceptual understanding rather than mathematical proofs. The text is enlivened with numerous examples of real data analysis and numerical calculations to illustrate the theory, in addition to the working problems at the end of each chapter. The coverage of maximum likelihood and Bayesian methods are in particular up-to-date, comprehensive, and authoritative. This advanced textbook is aimed at graduate level students and professional researchers (both empiricists and theoreticians) in the fields of bioinformatics and computational biology, statistical genomics, evolutionary biology, molecular systematics, and population genetics. It will also be of relevance and use to a wider audience of applied statisticians, mathematicians, and computer scientists working in computational biology.

Analysis of Phylogenetics and Evolution with R

Analysis of Phylogenetics and Evolution with R
Author: Emmanuel Paradis
Publisher: Springer Science & Business Media
Total Pages: 221
Release: 2006-11-25
Genre: Science
ISBN: 0387351000

This book integrates a wide variety of data analysis methods into a single and flexible interface: the R language. The book starts with a presentation of different R packages and gives a short introduction to R for phylogeneticists unfamiliar with this language. The basic phylogenetic topics are covered. The chapter on tree drawing uses R's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devoted to the development of phylogenetic methods with R and interfaces with other languages (C and C++). Some exercises conclude these chapters.

Fungal Phylogenetics and Phylogenomics

Fungal Phylogenetics and Phylogenomics
Author:
Publisher: Academic Press
Total Pages: 342
Release: 2017-11-17
Genre: Science
ISBN: 0128132620

Fungal Phylogenetics and Phylogenomics, Volume 100, the latest release in the Advances in Genetics series, presents users with new chapters that delve into such topics as the Advances of fungal phylogenomics and the impact on fungal systematics, Data crunching for fungal phylogenomics: insights into data collection and phylogenetic inference based on genome data for fungi, Genomic and epigenomic traits of emerging fungal pathogens, Advances in fungal gene cluster diversity and evolution, Phylogenomics of Fusarium oxysporum species complex, Phylogenomic analyses of pathogenic yeasts, and the Phylogenetics and phylogenomics of rust fungi. The series continually publishes important reviews of the broadest interest to geneticists and their colleagues in affiliated disciplines, critically analyzing future directions. Critically analyzes future directions for the study of clinical genetics Written and edited by recognized leaders in the field Presents new medical breakthroughs that are occurring as a result of advances in our knowledge of genetics

Tree Thinking: An Introduction to Phylogenetic Biology

Tree Thinking: An Introduction to Phylogenetic Biology
Author: David A. Baum
Publisher: Roberts
Total Pages: 0
Release: 2012-08-10
Genre: Science
ISBN: 9781936221165

Baum and Smith, both professors evolutionary biology and researchers in the field of systematics, present this highly accessible introduction to phylogenetics and its importance in modern biology. Ever since Darwin, the evolutionary histories of organisms have been portrayed in the form of branching trees or “phylogenies.” However, the broad significance of the phylogenetic trees has come to be appreciated only quite recently. Phylogenetics has myriad applications in biology, from discovering the features present in ancestral organisms, to finding the sources of invasive species and infectious diseases, to identifying our closest living (and extinct) hominid relatives. Taking a conceptual approach, Tree Thinking introduces readers to the interpretation of phylogenetic trees, how these trees can be reconstructed, and how they can be used to answer biological questions. Examples and vivid metaphors are incorporated throughout, and each chapter concludes with a set of problems, valuable for both students and teachers. Tree Thinking is must-have textbook for any student seeking a solid foundation in this fundamental area of evolutionary biology.

Bayesian Phylogenetics

Bayesian Phylogenetics
Author: Ming-Hui Chen
Publisher: CRC Press
Total Pages: 398
Release: 2014-05-27
Genre: Mathematics
ISBN: 1466500794

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 current trends in Bayesian phylogenetic research. Encouraging interdisciplinary research, this book introduces state-of-the-art phylogenetics to the Bayesian statistical community and, likewise, presents state-of-the-art Bayesian statistics to the phylogenetics community. The book emphasizes model selection, reflecting recent interest in accurately estimating marginal likelihoods. It also discusses new approaches to improve mixing in Bayesian phylogenetic analyses in which the tree topology varies. In addition, the book covers divergence time estimation, biologically realistic models, and the burgeoning interface between phylogenetics and population genetics.

Computational Molecular Evolution

Computational Molecular Evolution
Author: Ziheng Yang
Publisher: Oxford University Press, USA
Total Pages: 374
Release: 2006-10-05
Genre: Medical
ISBN: 0198566999

This book describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes.