Description: Computational and Evolutionary Analysis of HIV Molecular Sequences by Allen G. Rodrigo, Gerald H. Learn Jr. 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). FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Table of Contents Sampling and Processing HIV Molecular Sequences: A Computational Evolutionary Biologists 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. Promotional Springer Book Archives Long Description 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. Details ISBN1475774540 Language English Edition 00200th ISBN-10 1475774540 ISBN-13 9781475774542 Short Title COMPUTATIONAL & EVOLUTIONARY A Media Book Year 2013 Publication Date 2013-04-26 Imprint Springer-Verlag New York Inc. Place of Publication New York, NY Country of Publication United States Edited by Gerald H. Learn Jr. UK Release Date 2013-04-26 AU Release Date 2013-04-26 NZ Release Date 2013-04-26 US Release Date 2013-04-26 Author Gerald H. Learn Jr. Illustrations VIII, 300 p. Pages 300 Publisher Springer-Verlag New York Inc. Edition Description Softcover reprint of the original 1st ed. 2002 Format Paperback Alternative 9780792379942 DEWEY 616.97920072 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96383919;
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ISBN-13: 9781475774542
Book Title: Computational and Evolutionary Analysis of HIV Molecular Sequence
Number of Pages: 300 Pages
Language: English
Publication Name: Computational and Evolutionary Analysis of Hiv Molecular Sequences
Publisher: Springer-Verlag New York Inc.
Publication Year: 2013
Subject: Medicine, Zoology, Computer Science, Biology
Item Height: 235 mm
Item Weight: 480 g
Type: Textbook
Author: Gerald H. Learn Jr., Allen G. Rodrigo
Subject Area: Information Science
Item Width: 155 mm
Format: Paperback