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The Glycome Analytics Platform: an integrative framework for glycobioinformatics
Author(s) -
Christopher B. Barnett,
Kiyoko F. AokiKinoshita,
Kevin J. Naidoo
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw341
Subject(s) - glycomics , glycome , computer science , workflow , glycan , analytics , exploit , data science , database , biology , computer security , microbiology and biotechnology , glycoprotein
Complex carbohydrates play a central role in cellular communication and in disease development. O- and N-glycans, which are post-translationally attached to proteins and lipids, are sugar chains that are rooted, tree structures. Independent efforts to develop computational tools for analyzing complex carbohydrate structures have been designed to exploit specific databases requiring unique formatting and limited transferability. Attempts have been made at integrating these resources, yet it remains difficult to communicate and share data across several online resources. A disadvantage of the lack of coordination between development efforts is the inability of the user community to create reproducible analyses (workflows). The latter results in the more serious unreliability of glycomics metadata.

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