Computational and Evolutionary Analysis of HIV Molecular Sequences

• Corporate Author: SpringerLink (Online service)
• Other Authors: Rodrigo, Allen G. (Editor), Learn, Gerald H. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US : Imprint: Springer, 2001.
• Subjects: Medicine.; Pharmacology.; Internal medicine.; Data structures (Computer science).; Evolutionary biology.; Animal anatomy.; Medicine & Public Health.; Internal Medicine.; Data Structures, Cryptology and Information Theory.; Animal Anatomy / Morphology / Histology.; Pharmacology/Toxicology.; Evolutionary Biology.

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...

Table of Contents:

• Sampling and Processing HIV Molecular Sequences: A Computational Evolutionary Biologist’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 — Successes and Resistance.