Computational and Evolutionary Analysis of HIV Molecular Sequences - Allen G Rodrigo - Books - Springer - 9780792379942 - October 31, 2000
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Computational and Evolutionary Analysis of HIV Molecular Sequences 2001 edition

Allen G Rodrigo

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Computational and Evolutionary Analysis of HIV Molecular Sequences 2001 edition

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).


Marc Notes: Includes bibliographical references and index. Table of Contents: Preface. 1. Sampling and Processing HIV Molecular Sequences: a Computational Evolutionary Biologist's Perspective; A. G. Rodrigo, et al. 2. Accessing HIV Molecular Information; B. T. Foley. 3. HIV-1 Subtyping; C. L. Kuiken, T. Leitner. 4. HIV Sequence Signatures and Similarities; B. Korber. 5. Graphical Methods for Exploring Sequence Relationships; G. F. Weiller. 6. Quantifying Heterogeneity in the HIV Genome; H. P. Pinheiro, F. Seillier-Moisewitsch. 7. Phylogenetics of HIV; D. Posada, et al. 8. Goals and Strategies for Analysis of Recombination Among Molecular Sequences; J. C. Stephens. 9. Molecular Population Genetics: Coalescent Methods Based on Summary Statistics; D. A. Vasco, et al. 10. Population Genetics of HIV: Parameter Estimation Using Genealogy-Based Methods; P. Beerli, et al. 11. Detecting Selection in Protein Coding Genes Using the Rate of Nonsynonymous and Synonymous Divergence; R. Neilsen. 12. Drugs Targeted at HIV - Successes and Resistance; C. Sansom, A. Wlodawer. Index. Review Citations:

Scitech Book News 03/01/2001 pg. 77 (EAN 9780792379942, Hardcover)

Media Books     Hardcover Book   (Book with hard spine and cover)
Released October 31, 2000
ISBN13 9780792379942
Publishers Springer
Pages 300
Dimensions 155 × 235 × 19 mm   ·   616 g
Language English  
Editor Learn Jr., Gerald H.
Editor Rodrigo, Allen G.