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Sequence Analysis Primer / Edition 1
     

Sequence Analysis Primer / Edition 1

by Michael Ray Gribskov, John Devereux, Gribskov
 

ISBN-10: 0195098749

ISBN-13: 9780195098747

Pub. Date: 12/28/1992

Publisher: Oxford University Press, USA

Computerized 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

Overview

Computerized 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.

Product Details

ISBN-13:
9780195098747
Publisher:
Oxford University Press, USA
Publication date:
12/28/1992
Series:
University of Wisconsin Biotechnology Center Biotechnical Resource Series
Edition description:
REISSUE
Pages:
296
Product dimensions:
6.00(w) x 9.00(h) x 0.56(d)

Related Subjects

Table of Contents

1. DNA, Peter M. Rice, Keith Elliston, and Michael Gribskov
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. Protein, Roland Lüthy and David Eisenberg
2.1. Physical Properties
2.2. Structural Properties
2.3. Summary
3. Similarity and Homology, David J. States and Mark S. Boguski
3.1. Similarity versus Homology
3.2. Dot Matrix Methods
3.3. Dynamic Programming Methods
3.4. Scoring Systems
3.5. Summary
4. Practical Aspects: Analysis of Notch, Lisa Caballero
4.1. cDNA Sequence Analysis
4.2. Protein Analysis: Determining Structure and Function
4.3. Genomic DNA
4.4. Summary

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