Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis - Hardcover

Über die Autorin bzw. den Autor

Ingvar Eidhammer is a professor in the Department of Informatics at the University of Bergen,Norway. He is also associated with the Centre for Cancer Biomarkers established at the University of Bergen.

Inge Jonassen is a professor in the Department of Informatics at the University of Bergen, Norway. His field of research is bioinformatics, the development and application of informatics methods for the analysis of molecular biology data.

William R. Taylor is the author of Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis, published by Wiley.

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Bioinformatics is the study of biological information and biological systems – such as of the relationships between the sequence, structure and function of genes and proteins. The subject has seen tremendous development in recent years, and there are ever-increasing needs for good understanding of quantitative methods in the study of proteins. Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis takes the novel approach of covering both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective.

• Provides a comprehensive introduction to the analysis of protein sequences and structures.
• Provides an integrated presentation of methodology, examples, exercises and applications.
• Emphasises the algorithmic rather than mathematical aspects of the methods described.
• Covers comparison and alignment of protein sequences and structures as well as protein structure prediction focusing on threading approaches.
• Written in an accessible yet rigorous style, suitable for biologists, mathematicians and computer scientists alike.
• Suitable both for developers and users of bioinformatics tools.
• Supported by a Web site featuring exercises, solutions, images, and computer programs.

Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis is ideally suited for advanced undergraduate and graduate students of bioinformatics, statistics, mathematics and computer science. It also provides an excellent introduction and reference source on the subject for practitioners and researchers.