Species Tree Inference : : A Guide to Methods and Applications / / ed. by Laura Kubatko, L. Lacey Knowles.

• Superior document: Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2023 English
• MitwirkendeR: Blischak, Paul D.,; Brown, Jeremy M.,; Cao, Zhen,; Cloutier, Alison,; Cobb, Kerry,; DiGiacomo, Alexandria A.,; Eaton, Deren A. R.,; Edwards, Scott V.,; Gallivan, Kyle A.,; Gates, Daniel J.,; Grayson, Phil,; Knowles, L. Lacey,; Kubatko, Laura S.,; Liu, Xinhao,; McKenzie, Patrick F.,; Mirarab, Siavash,; Molloy, Erin,; Mount, Genevieve G.,; Nakhleh, Luay,; Oaks, Jamie R.,; Ogilvie, Huw A.,; Pease, James B.,; Pilson, Diana,; Sackton, Timothy B.,; Smith, Stacey D.,; Smith, Stephen A.,; Solís-Lemus, Claudia,; Swofford, David L.,; Thompson, Coleen E.,; Waight, Emiko M.,; Walker, Joseph F.,; Warnow, Tandy,; Weinheimer, Ellen I.,; Wilgenbusch, James C.,; Wolfe, Andrea D.,; Yan, Zhi,
• HerausgeberIn: Knowles, L. Lacey,; Kubatko, Laura,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2023]; ©2023
• Year of Publication: 2023
• Language: English
• Physical Description: 1 online resource (352 p.) :; 101 b/w figures. 6 tables.
• Other title: Frontmatter --; Short Contents --; Preface --; Acknowledgments --; Contributors --; CHAPTER 1 Introduction to Species Tree Inference --; PART I Analytical and Methodological Developments --; Introduction --; CHAPTER 2 Large-Scale Species Tree Estimation --; CHAPTER 3 Species Tree Estimation Using ASTRAL: Practical Considerations --; CHAPTER 4 Species Tree Estimation Using Site Pattern Frequencies --; CHAPTER 5 Practical Aspects of Phylogenetic Network Analysis Using PhyloNet --; CHAPTER 6 Network Thinking: Novel Inference Tools and Scalability Challenges --; PART II Empirical Inference --; CHAPTER 7 Phylogenomic Conflict in Plants --; CHAPTER 8 Hybridization in Iochroma --; CHAPTER 9 Hybridization and Polyploidy in Penstemon --; CHAPTER 10 Comparison of Linked versus Unlinked Character Models for Species Tree Inference --; PART III Beyond the Species Tree --; CHAPTER 11 The Unfinished Synthesis of Comparative Genomics and Phylogenetics: Examples from Flightless Birds --; CHAPTER 12 Phylogenetic Analysis under Heterogeneity and Discordance --; CHAPTER 13 The Multispecies Coalescent in Space and Time --; CHAPTER 14 Tree Set Visualization, Exploration, and Applications --; Bibliography --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9780691245157; 9783111319292; 9783111318912; 9783111319216; 9783111318615; 9783110749748
• DOI: 10.1515/9780691245157?locatt=mode:legacy
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: ed. by Laura Kubatko, L. Lacey Knowles.

An up-to-date reference book on phylogenetic methods and applications for evolutionary biologistsThe 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.