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. “Correcting for Sparsity and Non-Independence in Glycomic Data through a System Biology Framework.” bioRxiv. https://doi.org/10.1101/693507

Central Datasets
- Github_Yang2019_EPO
- paper_hmo
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

Additional Datasets
- Webapp_Jin2017_Mucin
- Webapp_Riley2019_SiteSpecN
- Webapp_Sibile2016_Glycolipid
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

Detailed Descriptions

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