Bioinformatics in glycobiology.

by: I Marchal, G Golfier, O Dugas, M Majed

Biochimie, Vol. 85, No. 1-2. (b 2003), pp. 75-81.

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Abstract

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.

@article{citeulike:914283, abstract = {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.}, address = {MEDIAGEN SAS, Institut Pasteur de Lille, 1, rue du Professeur-Calmette, B\^{a}timent Gu\'{e}rin, BP 245, 59019 Lille cedex, France. marchal@mediagen.fr}, author = {Marchal, I. and Golfier, G. and Dugas, O. and Majed, M. }, citeulike-article-id = {914283}, issn = {0300-9084}, journal = {Biochimie}, keywords = {bioinformatics, glycomics}, number = {1-2}, pages = {75--81}, posted-at = {2006-10-27 08:50:29}, priority = {2}, title = {Bioinformatics in glycobiology.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/12765777}, volume = {85}, year = {2003} }

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TY - JOUR ID - citeulike:914283 L3 - citeulike-article-id:914283 TI - Bioinformatics in glycobiology. JF - Biochimie VL - 85 IS - 1-2 SP - 75 EP - 81 AD - MEDIAGEN SAS, Institut Pasteur de Lille, 1, rue du Professeur-Calmette, Bâtiment Guérin, BP 245, 59019 Lille cedex, France. marchal@mediagen.fr SN - 0300-9084 N2 - 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. KW - bioinformatics KW - glycomics AU - Marchal, I AU - Golfier, G AU - Dugas, O AU - Majed, M PY - 2003///b UR - http://view.ncbi.nlm.nih.gov/pubmed/12765777 ER -

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