Environmental Microbial Evolution: Methods and Protocols

Author:   Haiwei Luo
Publisher:   Springer-Verlag New York Inc.
Edition:   1st ed. 2022
Volume:   2569
ISBN:  

9781071626931


Pages:   362
Publication Date:   11 September 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Environmental Microbial Evolution: Methods and Protocols


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Author:   Haiwei Luo
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   1st ed. 2022
Volume:   2569
Weight:   0.714kg
ISBN:  

9781071626931


ISBN 10:   1071626930
Pages:   362
Publication Date:   11 September 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Dating Microbial Evolution with MCMCtree.- A Computational Protocol for Dating the Evolution of Cyanobacteria.- Standard Candles for Dating Microbial Lineages.- Relative Time Inference using Lateral Gene Transfers.- Estimating the Divergence Times of Alphaproteobacteria Based on Endosymbiosis and Eukaryotic Fossils.- Phylogenetic Analysis that Models Compositional Heterogeneity Over the Tree.- Assembling a Reference Phylogenomic Tree of Bacteria and Archaea by Summarizing Many Gene Phylogenies.- Testing Phylogenetic Stability with Variable Taxon Sampling.- Rooting Species Trees using Gene Tree-Species Tree Reconciliation.- Reconstructing Gene Gains and Losses with Badirate.- Deciphering Microbial Gene Family Evolution Using Duplication-Transfer-Loss Reconciliation and RANGER-DTL.- Ancestral State Reconstruction using BayesTraits.- An Integrated Method to Reconstruct Ancient Proteins.- Methodologies for Microbial Ancestral Sequence Reconstruction.- Reconstruction of State-Dependent Diversification: Integrating Phenotyping Traits into Molecular Phylogenies.- Lifestyle Evolution Analysis by Binary-State Speciation and Extinction (BiSSE) Model.- Assessing a Role of Genetic Drift for Deep-Time Evolutionary Events.

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