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Provides practical guidance and troubleshooting advice for the computational analysis of DNA sequences
Covers a wide range of methods that unveil the multitude of applications and relevance of bioinformatics today
Includes worked examples with real data that will direct the reader in completing specific bioinformatic analyses
Does not require a special background in statistics, mathematics or computer science, only a basic knowledge of molecular biology and genetics
Describes only tools which are free and can be downloaded or accessed through the web
Most chapters could be used for practical advanced undergraduate or graduate-level courses in bioinformatics and molecular evolution
The storage, processing, description, transmission, connection, and analysis of the waves of new genomic data have made bioinformatics skills essential for scientists working with DNA sequences. In Bioinformatics for DNA Sequence Analysis, experts in the field provide practical guidance and troubleshooting advice for the computational analysis of DNA sequences, covering a range of issues and methods that unveil the multitude of applications and the vital relevance that the use of bioinformatics has today. Individual book chapters explore the use of specific bioinformatic tools, accompanied by practical examples, a discussion on the interpretation of results, and specific comments on strengths and limitations of the methods and tools. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.
Focused and cutting-edge, Bioinformatics for DNA Sequence Analysis serves molecular biologists, geneticists, and biochemists as an enriched task-oriented manual, offering step-by-step guidance for the analysis of DNA sequences in a simple but meaningful fashion.
Content Level »Research
Keywords »Annotation - BLAST-Algorithmus - Bioinformatic tools - Computational analysis - Computer science - DNA - Data - Promoter - SNP - Statistics and mathematics - bioinformatics - genes - genome - sequence analysis