Application of network smoothing to glycan LC-MS profiling | Zendy

Joshua Klein | Zendy; Luís Carvalho | Zendy; Joseph Zaia | Zendy

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Application of network smoothing to glycan LC-MS profiling

Author(s) -

Joshua Klein,

Luís Carvalho,

Joseph Zaia

Publication year - 2018

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/bty397

Subject(s) - glycan , computer science , glycomics , executable , mass spectrometry , glycosylation , computational biology , graph , data mining , algorithm , chemistry , theoretical computer science , biology , chromatography , programming language , biochemistry , glycoprotein

Glycosylation is one of the most heterogeneous and complex protein post-translational modifications. Liquid chromatography coupled mass spectrometry (LC-MS) is a common high throughput method for analyzing complex biological samples. Accurate study of glycans require high resolution mass spectrometry. Mass spectrometry data contains intricate sub-structures that encode mass and abundance, requiring several transformations before it can be used to identify biological molecules, requiring automated tools to analyze samples in a high throughput setting. Existing tools for interpreting the resulting data do not take into account related glycans when evaluating individual observations, limiting their sensitivity.

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