Abstract

Glycoscience, as an is a rapidly developing emerging scientific discipline. Like other scientific disciplines, glycoscience is adapting to the exciting rise in the availability of scientific data, which is changing the nature of research and its practice. The accumulation of knowledge along with the development of enabling technologies has laid to the foundation for a rich computational toolbox for the detection and high-resolution determination of complex glycans. In parallel, a variety of online resources essentially in the form of databases covering glycan and glycoproteins structures have been developed by independent research groups worldwide. At present, more than 150 entries are freely available on the internet, forming an intricate network of computational resources. With the aim of facilitating glycoscience research, we have clustered these different tools according to their major field of applications. As a result, the following entries can be accessed :

One section of the chapter is devoted to the practical uses of integrative tools to guide the traveler in the navigation, investigation and the quest of correlations between structures and functions in glycobiology.

Some fundamental principles of bioinformatics about data handling are presented in three consecutive annexes. These cover Data Integration, Data Integration Strategies and their implementation in Bioinformatics.