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Multivariate analyses of codon usage...

Lobry, Jean R.,

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Multivariate analyses of codon usage biases

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multivariate analyses of codon usage biases/ Jean R. Lobry.
作者:	Lobry, Jean R.,
出版者:	London, UK :ISTE Press Ltd ; : 2018.,
面頁冊數:	1 online resource.
內容註:	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)
內容註:	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
標題:	Molecular evolution. -
電子資源:	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:

533123
Molecular evolution.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QH390

Dewey Class. No.: 572.838

Multivariate analyses of codon usage biases
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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).
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650 0 $a Gene expression. $3 643979
650 0 $a Genomics. $3 600531
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830 0 $a Statistics for bioinformatics set. $3 3398085
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