Bioinformatics in glycobiology.
In comparison with genes and proteins, attention paid to oligosaccharides that modify proteins is still marginal. Accordingly, bioinformatics is so far poorly involved in glycobiology. Some initiatives have been taken, however, to collect in databases all glycobiology-relevant information or to design specific data mining algorithms to infer predictions or identify oligosaccharide structures. In this review, we make a non-exhaustive survey of the available glycobiology-related bioinformatic resources, focussing mainly on those resources that are available through the World Wide Web. Some well-curated databases are identified, but the development of specialised algorithms appears to be limited.
Marchal
I
I
MEDIAGEN SAS, Institut Pasteur de Lille, 1, rue du Professeur-Calmette, Bâtiment Guérin, BP 245, 59019 Lille cedex, France. marchal@mediagen.fr
Golfier
G
G
Dugas
O
O
Majed
M
M
D000465:Algorithms; D000818:Animals; D019295:Computational Biology; D019992:Databases as Topic; D006001:Glycoconjugates / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D006023:Glycoproteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D006031:Glycosylation; D006801:Humans; D009844:Oligosaccharides / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D040901:Proteomics; D012984:Software
D006001:Glycoconjugates; D006023:Glycoproteins; D009844:Oligosaccharides