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Multivariate analyses of codon usage...

Lobry, Jean R.,

Multivariate analyses of codon usage biases

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multivariate analyses of codon usage biasesJean R. Lobry.
Author:	Lobry, Jean R.,
Published:	London, UK :ISTE Press Ltd ;2018.
Description:	1 online resource.
Subject:	Molecular evolution.
Online resource:	https://www.sciencedirect.com/science/book/9781785482960
ISBN:	9780128172513 (electronic bk.)

Multivariate analyses of codon usage biases
Lobry, Jean R.,

Multivariate analyses of codon usage biases[electronic resource] /Jean R. Lobry. - London, UK :ISTE Press Ltd ;2018. - 1 online resource. - Statistics for bioinformatics set. - Statistics for bioinformatics set..

Includes bibliographical references and index.

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)

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).

ISBN: 9780128172513 (electronic bk.)Subjects--Topical Terms:

188817
Molecular evolution.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QH390

Dewey Class. No.: 572.838

Multivariate analyses of codon usage biases
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020 $a 9781785482960
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100 1 $a Lobry, Jean R., $e author. $3 872058
245 1 0 $a Multivariate analyses of codon usage biases $h [electronic resource] / $c Jean R. Lobry.
260 $a London, UK : $b ISTE Press Ltd ; $a Kidlington, Oxford, UK : $b Elsevier Ltd, $c 2018.
300 $a 1 online resource.
490 1 $a Statistics for bioinformatics set
504 $a Includes bibliographical references and index.
505 0 $a 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)
505 8 $a 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
520 $a 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).
588 0 $a Print version record.
650 0 $a Molecular evolution. $3 188817
650 0 $a Gene expression. $3 188888
650 0 $a Genomics. $3 209057
655 4 $a Electronic books. $2 local. $3 214472
830 0 $a Statistics for bioinformatics set. $3 845436
856 4 0 $u https://www.sciencedirect.com/science/book/9781785482960