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Computational and Evolutionary Analysis of HIV Molecular Sequences

  • Book
  • © 2001

Overview

Editors:
  1. Allen G. Rodrigo

    1. University of Auckland, Auckland, New Zealand

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    You can also search for this editor in PubMed   Google Scholar

  2. Gerald H. Learn

    1. University of Washington, Washington, USA

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-viii
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  2. Sampling and Processing HIV Molecular Sequences: A Computational Evolutionary Biologist’s Perspective

    • Allen G. Rodrigo, Edward W. Hanley, Paul C. Goracke, Gerald H. Learn Jr.
    Pages 1-17

  3. Accessing HIV Molecular Information

    • Brian T. Foley
    Pages 19-26

  4. HIV-1 Subtyping

    • Carla L. Kuiken, Thomas Leitner
    Pages 27-53

  5. HIV Sequence Sigmatires and Similarities

    • Bette Korber
    Pages 55-72

  6. Graphical Methods for Exploring Sequence Relationships

    • Georg F. Weiller
    Pages 73-90

  7. Quantifying Heterogeneity in the HIV Genome

    • Hildete Prisco Pinheiro, Françoise Seillier-Moiseiwitsch
    Pages 91-119

  8. Phylogenetics of HIV

    • David Posada, Keith A. Crandall, David M. Hillis
    Pages 121-160

  9. Goals and Strategies for Analysis of Recombination among HIV Molecular Sequences

    • J. Claiborne Stephens
    Pages 161-171

  10. Molecular Population Genetics: Coalescent Methods Based on Summary Statistics

    • Daniel A. Vasco, Keith A. Crandall, Yun-Xin Fu
    Pages 173-216

  11. Population Genetics of HIV: Parameter Estimation Using Genealogy-based Methods

    • Peter Beerli, Nicholas C. Grassly, Mary K. Kuhner, £David Nickle, Oliver Pybus, Matthew Rain et al.
    Pages 217-252

  12. Detecting Selection in Protein Coding Genes Using the Rate of Nonsynonymous and Synonymous Divergence

    • Rasmus Nielsen
    Pages 253-267

  13. Drugs Targeted at HIV — Successes and Resistance

    • Clare Sansom, Alexander Wlodawer
    Pages 269-286

  14. Back Matter

    Pages 287-300
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Keywords

About this book

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.

Editors and Affiliations

  • University of Auckland, Auckland, New Zealand

    Allen G. Rodrigo

  • University of Washington, Washington, USA

    Gerald H. Learn

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