Methods to obtain data relevant to glycobiology are rapidly evolving, thereby providing enormous opportunities to significantly increase knowledge, insight, and understanding in this important domain. Nevertheless, progress in this field is compromised by the lack of glycoinformatics databases and tools that combine information from related disciplines, including genetics, proteomics, pathology, etc. GlyGen is an international initiative funded by the National Institutes of Health Common Fund (Contract #1U01GM125267–01) and aimed at developing an integrated, extendable, and cross-disciplinary resource, which provides tools and data to address glycoscience questions that can currently be answered only by extensive literature-based research and manual browsing and data collection from diverse resources. Here, we announce the release of the GlyGen Portal (https://www.glygen.org), which provides a user-friendly interface that facilitates exploration of glycoscience data in the context of other information that we have compiled, harmonized, and integrated from diverse international bioinformatics resources, including the National Center for Biotechnology Information (NCBI), UniProt, the Protein Data Bank (PDB), UniCarbKB, and the GlyTouCan glycan structure repository.

Motivation: Glycan structures are commonly represented using symbols or linear nomenclature such as that from the Consortium for Functional Glycomics (also known as modified IUPAC-condensed nomenclature). No current tool allows for writing the name in such format using a graphical user interface (GUI); thus, names are prone to errors or non-standardized representations. Results: Here we present GlycoGlyph, a web application built using JavaScript, which is capable of drawing glycan structures using a GUI and providing the linear nomenclature as an output or using it as an input in a dynamic manner. GlycoGlyph also allows users to save the structures as an SVG vector graphic, and allows users to export the structure as condensed GlycoCT. Availability and implementation: The application can be used at: https://glycotoolkit.com/Tools/GlycoGlyph/. The application is tested to work in modern web browsers such as Firefox or Chrome. Contact: aymehta@bidmc.harvard.edu or rcummin1@bidmc.harvard.edu

Motivation: Traditional glycan microarray data is typically presented as excel files with limited visualization and interactivity. Thus, comparisons and analysis of glycan array data have been difficult, and there is need for a tool to facilitate data mining of glycan array data. Results: GLAD (GLycan Array Dashboard) is a web-based tool to visualize, analyze, present and mine glycan microarray data. GLAD allows users to input multiple data files to create comparisons. GLAD extends the capability of the microarray data to produce more comparative visualizations in the form of grouped bar charts, heatmaps, calendar heatmaps, force graphs and correlation maps in order to analyze broad sets of samples. Additionally, it allows users to filter, sort and normalize the data and view glycan structures in an interactive manner, to facilitate faster visual data mining. Availability and implementation: GLAD is freely available for use on the Web at https://glycotoolkit.com/Tools/GLAD/ with all major modern browsers (Edge, Firefox, Chrome, Safari). Supplementary information: Full documentation and video tutorials for GLAD can be found on https://glycotoolkit.com/GLAD.