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Sequence Analysis Primer [Mīkstie vāki]

Edited by (Genetics Computer Group, Inc., Madison, Wisconsin), Edited by (Advanced Biosciences Laboratory, National Cancer Institute, Frederick, Maryland)
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  • Cena: 162,01 €
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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.
1: 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: Summary