Computational and Evolutionary Analysis of HIV Molecular Sequences

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 i...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Rodrigo, Allen G. (Editor), Learn, Gerald H. (Editor)
Format: Electronic
Language:English
Published: Boston, MA : Springer US : Imprint: Springer, 2001.
Subjects:
Online Access:View fulltext via EzAccess
Table of Contents:
  • Sampling and Processing HIV Molecular Sequences: A Computational Evolutionary BiologistỚ"s Perspective
  • Accessing HIV Molecular Information
  • HIV-1 Subtyping
  • HIV Sequence Sigmatires and Similarities
  • Graphical Methods for Exploring Sequence Relationships
  • Quantifying Heterogeneity in the HIV Genome
  • Phylogenetics of HIV
  • Goals and Strategies for Analysis of Recombination among HIV Molecular Sequences
  • Molecular Population Genetics: Coalescent Methods Based on Summary Statistics
  • Population Geetics of HIV: Parameter Estimation Using Genealogy-based Methods
  • Detecting Selection in Protein Coding Genes Using the Rate of Nonsynonymous and Synonymous Divergence
  • Drugs Targeted at HIV Ớ Successes and Resistance.