Synopsis
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.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Laura S. Kubatko is Professor of Statistics and of Evolution, Ecology, and Organismal Biology at The Ohio State University. L. Lacey Knowles is the Robert B. Payne Collegiate Professor of Ecology and Evolutionary Biology and Curator of Insects at the University of Michigan. They are the coeditors of Estimating Species Trees: Practical and Theoretical Aspects.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Species Tree Inference: A Guide to Methods and Applications
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Species Tree Inference: A Guide to Methods and Applications
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ISBN 13 : 9780691207599
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Species Tree Inference
Edité par
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ISBN 10 : 0691207593
ISBN 13 : 9780691207599
Neuf
Couverture rigide
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Hardback. Etat : New. 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. N° de réf. du vendeur LU-9780691207599
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Species Tree Inference
Edité par
Princeton University Press, US, 2023
ISBN 10 : 0691207593
ISBN 13 : 9780691207599
Neuf
Couverture rigide
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardback. Etat : New. 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. N° de réf. du vendeur LU-9780691207599
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Species Tree Inference: A Guide to Methods and Applications
Edité par
Princeton University Press, 2023
ISBN 10 : 0691207593
ISBN 13 : 9780691207599
Neuf
Couverture rigide
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Species Tree Inference
Edité par
Princeton University Press, US, 2023
ISBN 10 : 0691207593
ISBN 13 : 9780691207599
Neuf
Couverture rigide
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardback. Etat : New. 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. N° de réf. du vendeur LU-9780691207599
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Species Tree Inference
Edité par
Princeton University Press, US, 2023
ISBN 10 : 0691207593
ISBN 13 : 9780691207599
Neuf
Couverture rigide
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardback. Etat : New. 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. N° de réf. du vendeur LU-9780691207599
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