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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Rodrigo, Allen G. (Επιμελητής έκδοσης), Learn, Gerald H. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US : Imprint: Springer, 2001.
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.