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Bioinformatics for glycobiology is still considered to be in its infancy. Nevertheless, there are various applications and databases available for glycoscientists by now. This article summarizes the problems that glycoinformatics is facing and gives an overview of the existing resources, including web portals, databases and tools. Software for structure input and display, for processing of analytical data, for prediction and analysis of glycosylation sites, and applications related to carbohydrate 3D structures are described. Special emphasis is put on GlycomeDB, a project that aims to integrate all freely available carbohydrate structure data already stored in databases, and the taxonomic annotation of these structures, into one resource. By this means it allows researchers to locate data in many databases without having to learn the different query types and carbohydrate notations used in the individual resources.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |