Computational and Evolutionary Analysis of HIV Molecular Sequences

Gerald H. Learn Jr. (u. a.)

ISBN 10: 0792379942 / ISBN 13: 9780792379942

Editore: Springer US, 2000

Computational and Evolutionary Analysis of HIV Molecular Sequences | Gerald H. Learn Jr. (u. a.) | Buch | viii | Englisch | 2000 | Springer US | EAN 9780792379942 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 102549387

Riassunto:

This work 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.

Contenuti: 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.

Dati bibliografici

Titolo: Computational and Evolutionary Analysis of ...
Casa editrice: Springer US
Data di pubblicazione: 2000
Legatura: Buch
Condizione: Neu