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Statistical Methods in Molecular Evolution

Overview of attention for book
Cover of 'Statistical Methods in Molecular Evolution'

Table of Contents

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    Book Overview
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    Chapter 1 Markov Models in Molecular Evolution
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    Chapter 2 Introduction to Applications of the Likelihood Function in Molecular Evolution
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    Chapter 3 Introduction to Markov Chain Monte Carlo Methods in Molecular Evolution
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    Chapter 4 Population Genetics of Molecular Evolution
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    Chapter 5 Maximum Likelihood Methods for Detecting Adaptive Protein Evolution
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    Chapter 6 HyPhy: Hypothesis Testing Using Phylogenies
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    Chapter 7 Bayesian Analysis of Molecular Evolution Using MrBayes
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    Chapter 8 Estimation of Divergence Times from Molecular Sequence Data
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    Chapter 9 Markov Models of Protein Sequence Evolution
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    Chapter 10 Models of Microsatellite Evolution
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    Chapter 11 Genome Rearrangement
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    Chapter 12 Phylogenetic Hidden Markov Models
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    Chapter 13 The Evolutionary Causes and Consequences of Base Composition Variation
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    Chapter 14 Statistical Alignment: Recent Progress, New Applications, and Challenges
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    Chapter 15 Estimating Substitution Matrices
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    Chapter 16 Posterior Mapping and Posterior Predictive Distributions
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    Chapter 17 Assessing the Uncertainty in Phylogenetic Inference
Attention for Chapter 6: HyPhy: Hypothesis Testing Using Phylogenies
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Citations

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54 Mendeley
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Chapter title
HyPhy: Hypothesis Testing Using Phylogenies
Chapter number 6
Book title
Statistical Methods in Molecular Evolution
Published by
Springer, New York, NY, January 2005
DOI 10.1007/0-387-27733-1_6
Book ISBNs
978-0-387-22333-9, 978-0-387-27733-2
Authors

Sergei L. Kosakovsky Pond, Spencer V. Muse, Pond, Sergei L. Kosakovsky, Muse, Spencer V.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 31%
Student > Bachelor 8 15%
Student > Master 8 15%
Researcher 6 11%
Student > Doctoral Student 3 6%
Other 4 7%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 30%
Biochemistry, Genetics and Molecular Biology 14 26%
Environmental Science 2 4%
Computer Science 2 4%
Medicine and Dentistry 2 4%
Other 5 9%
Unknown 13 24%

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