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Environmental Microbial Evolution

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Cover of 'Environmental Microbial Evolution'

Table of Contents

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    Book Overview
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    Chapter 1 Dating Microbial Evolution with MCMCtree
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    Chapter 2 A Computational Protocol for Dating the Evolution of Cyanobacteria
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    Chapter 3 Standard Candles for Dating Microbial Lineages
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    Chapter 4 Relative Time Inference Using Lateral Gene Transfers
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    Chapter 5 Estimating the Divergence Times of Alphaproteobacteria Based on Mitochondrial Endosymbiosis and Eukaryotic Fossils
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    Chapter 6 Phylogenetic Analysis That Models Compositional Heterogeneity over the Tree
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    Chapter 7 Assembling a Reference Phylogenomic Tree of Bacteria and Archaea by Summarizing Many Gene Phylogenies
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    Chapter 8 Testing Phylogenetic Stability with Variable Taxon Sampling
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    Chapter 9 Rooting Species Trees Using Gene Tree-Species Tree Reconciliation
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    Chapter 10 Reconstructing Gene Gains and Losses with BadiRate
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    Chapter 11 Deciphering Microbial Gene Family Evolution Using Duplication-Transfer-Loss Reconciliation and RANGER-DTL
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    Chapter 12 Ancestral State Reconstruction Using BayesTraits
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    Chapter 13 An Integrated Method to Reconstruct Ancient Proteins
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    Chapter 14 Methodologies for Microbial Ancestral Sequence Reconstruction
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    Chapter 15 Reconstruction of State-Dependent Diversification: Integrating Phenotypic Traits into Molecular Phylogenies
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    Chapter 16 Lifestyle Evolution Analysis by Binary-State Speciation and Extinction (BiSSE) Model
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    Chapter 17 Assessing a Role of Genetic Drift for Deep-Time Evolutionary Events
Attention for Chapter 4: Relative Time Inference Using Lateral Gene Transfers
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Chapter title
Relative Time Inference Using Lateral Gene Transfers
Chapter number 4
Book title
Environmental Microbial Evolution
Published by
Humana, New York, NY, September 2022
DOI 10.1007/978-1-0716-2691-7_4
Pubmed ID
Book ISBNs
978-1-07-162690-0, 978-1-07-162691-7
Authors

Davín, Adrián A., Schrempf, Dominik, Williams, Tom A., Hugenholtz, Philip, Szöllősi, Gergely J.

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 1 100%
Readers by discipline Count As %
Psychology 1 100%