國立虎尾科技大學 |

Language: English

Back to Search results for [ subject:"Molecular Evolution." ]

Multivariate analyses of codon usage...

Lobry, Jean R.,

Multivariate analyses of codon usage biases

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multivariate analyses of codon usage biases/ Jean 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:

674535
Molecular evolution.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QH390

Dewey Class. No.: 572.838

Multivariate analyses of codon usage biases
LDR:02278cam a2200301 a 4500 001 1000187
006 o d
007 cnu|unuuu||
008 201225s2018 enk ob 001 0 eng d
020 $a 9780128172513 (electronic bk.)
020 $a 0128172517 (electronic bk.)
020 $a 9781785482960
020 $a 1785482963
035 $a (OCoLC)1076271823
035 $a EL2020006
040 $a N$T $b eng $c N$T $d N$T $d EBLCP $d OPELS $d YDX $d UKMGB $d OCLCF $d MERER $d OCLCQ $d ESU $d LQU $d ABC $d OCLCQ
041 0 $a eng
050 4 $a QH390
082 0 4 $a 572.838 $2 23
100 1 $a Lobry, Jean R., $e author. $3 1292436
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 674535
650 0 $a Gene expression. $3 581931
650 0 $a Genomics. $3 578973
655 4 $a Electronic books. $2 local $3 554714
830 0 $a Statistics for bioinformatics set. $3 1236896
856 4 0 $u https://www.sciencedirect.com/science/book/9781785482960

based on 0 review(s)

Multimedia

Reviews

Add a review and share your thoughts with other readers

Export

pickup library