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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Boston, MA :
Springer US : Imprint: Springer,
2001.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.