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EUROCarbDB(CCRC): a EUROCarbDB node for storing glycomics standard data
Author(s) -
Khalifeh Al Jadda,
Melody Porterfield,
Robert Bridger,
Christian Heiß,
Michael Tiemeyer,
Lance Wells,
John A. Miller,
William S. York,
René Ranzinger
Publication year - 2014
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/btu609
Subject(s) - glycomics , computer science , field (mathematics) , code (set theory) , data mining , source code , information retrieval , database , programming language , glycan , set (abstract data type) , biology , mathematics , microbiology and biotechnology , pure mathematics , glycoprotein
In the field of glycomics research, several different techniques are used for structure elucidation. Although multiple techniques are often used to increase confidence in structure assignments, most glycomics databases allow storing of only a single type of experimental data. In addition, the methods used to prepare a sample for analysis is seldom recorded making it harder to reproduce the analytical data and results.

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