Statistical analysis of glycosylation profiles to compare tissue type and inflammatory disease state
Author(s) -
Catherine Hayes,
Szilárd Nemes,
Niclas G. Karlsson
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts242
Subject(s) - glycomics , glycosylation , computer science , computational biology , proteomics , statistical analysis , data mining , bioinformatics , biology , biochemistry , mathematics , statistics , gene
Glycosylation is one of the most important post-translational modifications of proteins and explains some aspects of the diversification of higher organisms not explained by template-driven synthesis. For glycomics to mature as much as genomics and proteomics, the necessary tools need to be developed and tested. Liquid chromatography-mass spectrometry is one of the gold standards for oligosaccharide analysis and leads to large amounts of data, not easily interpreted manually. We present a study on the testing and validation of statistical analysis tools to aid the structural elucidation of these analyses as well as using the results to answer biologically relevant questions.
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