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Computational and Evolutionary Analysis of HIV Molecular Sequences

  • Allen G. Rodrigo
  • Gerald H. LearnJr.

Table of contents

  1. Front Matter
    Pages i-viii
  2. Allen G. Rodrigo, Edward W. Hanley, Paul C. Goracke, Gerald H. Learn Jr.
    Pages 1-17
  3. Brian T. Foley
    Pages 19-26
  4. Carla L. Kuiken, Thomas Leitner
    Pages 27-53
  5. Bette Korber
    Pages 55-72
  6. Hildete Prisco Pinheiro, Françoise Seillier-Moiseiwitsch
    Pages 91-119
  7. David Posada, Keith A. Crandall, David M. Hillis
    Pages 121-160
  8. Daniel A. Vasco, Keith A. Crandall, Yun-Xin Fu
    Pages 173-216
  9. Peter Beerli, Nicholas C. Grassly, Mary K. Kuhner, £David Nickle, Oliver Pybus, Matthew Rain et al.
    Pages 217-252
  10. Clare Sansom, Alexander Wlodawer
    Pages 269-286
  11. Back Matter
    Pages 287-300

About this book

Introduction

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.

Keywords

HIV biology coding drug evolution genetics information research resistance

Editors and affiliations

  • Allen G. Rodrigo
    • 1
  • Gerald H. LearnJr.
    • 2
  1. 1.University of AucklandAucklandNew Zealand
  2. 2.University of WashingtonWashingtonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b112102
  • Copyright Information Springer Science+Business Media New York 2001
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-7994-2
  • Online ISBN 978-0-306-46900-8
  • Buy this book on publisher's site
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