Title	Computational and Evolutionary Analysis of HIV Molecular Sequences [electronic resource] / edited by Allen G. Rodrigo, Gerald H. Learn
Imprint	Boston, MA : Springer US : Imprint: Springer, 2001
Connect to	http://dx.doi.org/10.1007/b112102
Descript	VIII, 300 p. online resource

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

Sampling and Processing HIV Molecular Sequences: A Computational Evolutionary Biologistโs 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 โ Successes and Resistance

1. Medicine
2. Pharmacology
3. Internal medicine
4. Data structures (Computer science)
5. Evolutionary biology
6. Animal anatomy
7. Medicine & Public Health
8. Internal Medicine
9. Data Structures
10. Cryptology and Information Theory
11. Animal Anatomy / Morphology / Histology
12. Pharmacology/Toxicology
13. Evolutionary Biology