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Book Cover
E-book
Author Lobry, Jean R., author.

Title Multivariate analyses of codon usage biases / Jean R. Lobry
Published London, UK : ISTE Press Ltd ; Kidlington, Oxford, UK : Elsevier Ltd, 2018
©2018

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Description 1 online resource
Series Statistics for bioinformatics set
Statistics for bioinformatics set
Contents Front Cover; Multivariate Analyses of Codon Usage Biases; Copyright; Contents; Acknowledgments; Introduction; Chapter 1. Introduction to Correspondence Analysis; 1.1. Chapter objectives; 1.2. Metric choice; 1.3. Properties; Chapter 2. Global Correspondence Analysis; 2.1. Data set; 2.2. Running global correspondence analysis; 2.3. The missing factor F0; 2.4. First factor; 2.5. Second and third factors; 2.6. Fourth and fifth factors; Chapter 3. Within and Between Correspondence Analysis; 3.1. Running the analyses; 3.2. Synonymous codon usage (WCA); 3.3. Amino acid usage (BCA)
Chapter 4. Internal Correspondence Analysis4.1. Running the analyses; 4.2. Synonymous codon usage; 4.3. Non-synonymous codon usage; Conclusion; Appendices; Appendix 1; A1.1. Introduction; A1.2. Chapter 1; A1.3. Chapter 2; A1.4. Chapter 3; A1.5. Chapter 4; Appendix 2; A2.1. Session information; References; Index; Back Cover
Summary A complete case study with all coding sequences from the bacteria Borrellia burgdorferi illustrates how multivariate analyses reveals evolutionary mechanisms acting at the molecular level. They are either mutationnal (symmetric and asymmetric directionnal mutation pressure) or selective (selection against head-on collisions or linked to gene expressivity or subcellular location)
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Molecular evolution.
Gene expression.
Genomics.
Evolution, Molecular
Gene Expression
Genomics
SCIENCE -- Life Sciences -- Biochemistry.
Gene expression
Genomics
Molecular evolution
Form Electronic book
ISBN 9780128172513
0128172517