E-grāmata: Bioinformatics for Glycobiology and Glycomics - An Introduction: An Introduction [Wiley Online]

This book is the first to be dedicated to the bioinformatics of carbohydrates and glycoproteins. It provides an introduction to this emerging field of science both for the experimentalist working in glycobiology and glycomics, and also for the computer scientist looking for background information for the development of highly sophisticated algorithmic approaches. The book provides an overview of the state-of-the-art in the field, with reviews on databases, and the tools in use for analysis, interpretation, and prediction of the structures of complex carbohydrates, and demonstrates the value of bioinformatics for glycobiology.
The availability of comprehensive databases and corresponding bioinformatics tools, to access and analyse the large amounts of experimental data relating to the structure of carbohydrates, will be a prerequisite for the success of the large-scale glycomics projects that aim to decipher new, so far unknown, biological functions of glycans. Efficient bioinformatics descriptions and tools can considerably enhance the efficiency of glycomics research, in terms of data quality, analysis and experimental costs.
For a complete understanding of the molecular processes in which carbohydrates are involved, such as proteincarbohydrate interactions and the impact of glycosylation on protein function, knowledge of the 3D structure of the carbohydrate, the protein-carbohydrate complex, or the glycoprotein is often indispensable. This book provides a thorough introduction into methods used for conformational analysis of carbohydrates.



This book is the first dedicated to the bioinformatics of carbohydrates and glycoproteins. It provides a state-of-the-art overview and demonstrates the value of bioinformatics for glycobiology, not simply as a review of databases and tools but rather as an introduction to a new branch of glycobiology.

Efficient bioinformatics descriptions and tools can considerably enhance the efficiency of glycomics research, in terms of data quality, analysis and experimental costs. This book illustrates ways to use bioinformatics to enhance glycomics data mining and improve glycomics analysis