Computational and Evolutionary Analysis of HIV Molecular Sequences [electronic 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.
Main Authors: | , , |
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Format: | Texto biblioteca |
Language: | eng |
Published: |
Boston, MA : Springer US : Imprint: Springer,
2001
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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., |
Online Access: | http://dx.doi.org/10.1007/b112102 |
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Summary: | 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. |
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