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9780792379942

Computational and Evolutionary Analysis of HIV Molecular Sequences

by ;
  • ISBN13:

    9780792379942

  • ISBN10:

    0792379942

  • Format: Hardcover
  • Copyright: 2000-10-01
  • Publisher: Kluwer Academic Pub
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Supplemental Materials

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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). 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.

Author Biography

Dr. Allen G. Rodrigo is affiliated with the University of Auckland, School of Biological Sciences.

Table of Contents

Preface vii
Sampling and Processing HIV Molecular Sequences: a Computational Evolutionary Biologist's Perspective
1(18)
Allen G. Rodrigo
Edward W. Hanley
Paul C. Goracke
Gerald H. Learn, Jr.
Accessing HIV Molecular Information
19(8)
Brian T. Foley
HIV-1 Subtyping
27(28)
Carla L. Kuiken
Thomas Leitner
HIV Sequence Signatures and Similarities
55(18)
Bette Korber
Graphical Methods for Exploring Sequence Relationships
73(18)
Georg F. Weiller
Quantifying Heterogeneity in the HIV Genome
91(30)
Hildete Prisco Pinheiro
Francoise Seillier-Moisewitsch
Phylogenetics of HIV
121(40)
David Posada
Keith A. Crandall
David Hillis
Goals and Strategies for Analysis of Recombination Among Molecular Sequences
161(12)
J. Claiborne Stephens
Molecular Population Genetics: Coalescent Methods Based on Summary Statistics
173(44)
Daniel A. Vasco
Keith A. Crandall
Yun-Xin Fu
Population Genetics of HIV: Parameter Estimation Using Genealogy-Based Methods
217(36)
Peter Beerli
Nicholas Grassly
Mary K. Kuhner
David Nickle
Oliver Pybus
Mathew Rain
Andrew Rambaut
Allen Rodrigo
Yang Wang
Detecting Selection in Protein Coding Genes Using the Rate of Nonsynonymous and Synonymous Divergence
253(16)
Rasmus Neilsen
Drugs Targeted at HIV - Successes and Resistance
269(18)
Clare Sansom
Alexander Wlodawer
Index 287

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