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OverviewComputerized sequence analysis is an integral part of biotechnological research, yet many biologists have received no formal training in this important technology. Sequence Analysis Primer offers the beginner the necessary background to enter this vital field and helps more seasoned researchers to fine-tune their approach. It covers basic data manipulation such as homology searches, stem-loop identification, and protein secondary structure prediction, and is compatible with most sequence analysis programs. A detailed example giving steps for characterizing a new gene sequence provides users with hands-on experience when combined with their current software. The book will be invaluable to researchers and students in molecular biology, genetics, biochemistry, microbiology, and biotechnology. Full Product DetailsAuthor: Michael Gribskov (Advanced Biosciences Laboratory, Advanced Biosciences Laboratory, National Cancer Institute, Frederick, Maryland) , John Devereux (Genetics Computer Group, Inc., Madison, Wisconsin, Genetics Computer Group, Inc., Madison, Wisconsin)Publisher: Oxford University Press Inc Imprint: Oxford University Press Inc Edition: New edition Dimensions: Width: 22.80cm , Height: 1.80cm , Length: 15.50cm Weight: 0.440kg ISBN: 9780195098747ISBN 10: 0195098749 Pages: 296 Publication Date: 14 September 1995 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1: Peter M. Rice, Keith Elliston, and Michael Gribskov: DNA 1.1: Sequencing Project Management 1.2: Identification of Simple Sites and Transcriptional Signals 1.3: Coding Region Identification 1.4: RNA Structure 1.5: DNA Structure 1.6: Summary 2: Roland Lüthy and David Eisenberg: Protein 2.1: Physical Properties 2.2: Structural Properties 2.3: Summary 3: David J. States and Mark S. Boguski: Similarity and Homology 3.1: Similarity versus Homology 3.2: Dot Matrix Methods 3.3: Dynamic Programming Methods 3.4: Scoring Systems 3.5: Summary 4: Lisa Caballero: Practical Aspects: Analysis of Notch 4.1: cDNA Sequence Analysis 4.2: Protein Analysis: Determining Structure and Function 4.3: Genomic DNA 4.4: SummaryReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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