Datasets used in: "Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis"

Datasets included in: Bokan Bao+, Benjamin P. Kellman+, Austin W. T. Chiang, Austin K. York, Mahmoud A. Mohammad, Morey W. Haymond, Lars Bode, and Nathan E. Lewis. 2019. “<strong>Correcting for Sparsity and Non-Independence in Glycomic Data through a System Biology Framework.</strong>” bioRxiv. https://doi.org/10.1101/693507 <strong>Central Datasets</strong><br> - Github_Yang2019_EPO<br> - paper_hmo<br> These are the HMO and EPO datasets used throughout the majority of the manuscript. They are formatted consistent with the github code repository: https://github.com/LewisLabUCSD/GlyCompare <strong>Additional Datasets</strong><br> - Webapp_Jin2017_Mucin<br> - Webapp_Riley2019_SiteSpecN<br> - Webapp_Sibile2016_Glycolipid<br> These are additional datasets explored in the final figure and supplement of the manuscript formatted for the webapp: https://glycompare.herokuapp.com/ All datasets but Riley2019 have structural data, Riley2019 only contains compositional data <strong>Detailed Descriptions</strong> Github_Yang2019_EPO Sixteen MALDI-TOF glycoprofiles of EPO, where each EPO glycoprofile was produced in a different glycoengineered CHO cell line- paper_hmo Forty-eight HPLC glycoprofiles of HMO from six mothers22. Webapp_Jin2017_Mucin Mucin-type O-glycans from tumor and normal samples from gastrointestinal cancers Webapp_Riley2019_SiteSpecN Site-specific N-glycosylation in mouse brain Webapp_Sibile2016_Glycolipid Glycolipid abundance in Rat eye, brain and blood<br>