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Computational and Evolutionary Analysis of HIV Molecular Sequences

Specificaties
Gebonden, 300 blz. | Engels
Springer US | 2001e druk, 2000
ISBN13: 9780792379942
Rubricering
Springer US 2001e druk, 2000 9780792379942
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

Computational and Evolutionary Analysis of HIV Molecular Sequences is for all researchers interested in HIV research, even those who only have a nodding acquaintance with computational biology (or those who are familiar with some, but not all, aspects of the field). HIV research is unusual in that it brings together scientists from a wide range of disciplines: clinicians, pathologists, immunologists, epidemiologists, virologists, computational biologists, structural biologists, evolutionary biologists, statisticians and mathematicians. This book seeks to bridge the gap between these groups, in both subject matter and terminology. Focused largely on HIV genetic variation, Computational and Evolutionary Analysis of HIV Molecular Sequences covers such issues as sampling and processing sequences, population genetics, phylogenetics and drug targets.

Specificaties

ISBN13:9780792379942
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:300
Uitgever:Springer US
Druk:2001

Inhoudsopgave

Preface. 1. Sampling and Processing HIV Molecular Sequences: a Computational Evolutionary Biologist's Perspective; A.G. Rodrigo, et al. 2. Accessing HIV Molecular Information; B.T. Foley. 3. HIV-1 Subtyping; C.L. Kuiken, T. Leitner. 4. HIV Sequence Signatures and Similarities; B. Korber. 5. Graphical Methods for Exploring Sequence Relationships; G.F. Weiller. 6. Quantifying Heterogeneity in the HIV Genome; H.P. Pinheiro, F. Seillier-Moisewitsch. 7. Phylogenetics of HIV; D. Posada, et al. 8. Goals and Strategies for Analysis of Recombination Among Molecular Sequences; J.C. Stephens. 9. Molecular Population Genetics: Coalescent Methods Based on Summary Statistics; D.A. Vasco, et al. 10. Population Genetics of HIV: Parameter Estimation Using Genealogy-Based Methods; P. Beerli, et al. 11. Detecting Selection in Protein Coding Genes Using the Rate of Nonsynonymous and Synonymous Divergence; R. Neilsen. 12. Drugs Targeted at HIV - Successes and Resistance; C. Sansom, A. Wlodawer. Index.

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        Computational and Evolutionary Analysis of HIV Molecular Sequences