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Computational and Evolutionary Analysis of HIV Molecular Sequences Allen G. Rodrigo

Computational and Evolutionary Analysis of HIV Molecular Sequences By Allen G. Rodrigo

Computational and Evolutionary Analysis of HIV Molecular Sequences by Allen G. Rodrigo


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Summary

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).

Computational and Evolutionary Analysis of HIV Molecular Sequences Summary

Computational and Evolutionary Analysis of HIV Molecular Sequences by Allen G. Rodrigo

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.

Table of Contents

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.

Additional information

NPB9780792379942
9780792379942
0792379942
Computational and Evolutionary Analysis of HIV Molecular Sequences by Allen G. Rodrigo
New
Hardback
Springer
2000-10-31
300
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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