Overview
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
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.
Similar content being viewed by others
Keywords
Table of contents (12 chapters)
-
Front Matter
-
Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Computational and Evolutionary Analysis of HIV Molecular Sequences
Editors: Allen G. Rodrigo, Gerald H. Learn
DOI: https://doi.org/10.1007/b112102
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2001
Hardcover ISBN: 978-0-7923-7994-2Published: 31 October 2000
Softcover ISBN: 978-1-4757-7454-2Published: 26 April 2013
eBook ISBN: 978-0-306-46900-8Published: 08 May 2007
Edition Number: 1
Number of Pages: VIII, 300
Topics: Internal Medicine, Data Structures and Information Theory, Animal Anatomy / Morphology / Histology, Pharmacology/Toxicology, Evolutionary Biology