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bioRxiv · 10.1101/2022.05.31.494178

Preparing glycomics data for robust statistical analysis with GlyCompareCT

Zhang, Y.·Sridevi, K.·Bao, B.·Chiang, W.-T.·Sorrentino, J. T.·Schinn, S.-M.·Kellman, B. P.·Lewis, N. E.
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Abstract

SummaryGlycomics data are rapidly increasing in scale and diversity. Complexities in glycan biosynthesis (hierarchy, competition, and compartmentalization) make preprocessing critical to address resulting sparsity (many similar glycosylation profiles may share few common glycans) and non-independence (substrate-competition in glycan biosynthesis results in non-independence incompatible with many statistical methods). Here, we present GlyCompareCT, a portable command-line tool, to address these challenges thereby facilitating downstream analyses. Given glycan abundances, GlyCompareCT conducts substructure decomposition to quantify hidden biosynthetic intermediate abundance and relationships between measured glycans. Thus, GlyComparCT mitigates sparsity and makes interdependence explicit thereby increasing statistical power. Ultimately, GlyComparCT is a user-friendly implementation of substructure analysis designed to increase accessibility, interoperability, and scope and consistency in glycomics analysis. Availability and implementationSource code, test data, and instructions for GlyCompareCT v1.1.0 are available at: https://github.com/LewisLabUCSD/GlyCompareCT Supplementary informationhttps://github.com/LewisLabUCSD/GlyCompareCT/raw/main/Supplementary%20Material.pdf

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Zhang, Y., Sridevi, K., Bao, B., Chiang, W.-T., Sorrentino, J. T., Schinn, S.-M., Kellman, B. P., Lewis, N. E.. 2022-06-01. Preparing glycomics data for robust statistical analysis with GlyCompareCT. https://doi.org/10.1101/2022.05.31.494178

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