# Computational and Informatics Resources and Tools for Glycoscience Research

> **NIH NIH U01** · UNIVERSITY OF GEORGIA · 2021 · $1,942,440

## Abstract

PROJECT SUMMARY/ABSTRACT
Although ongoing technical advances are accelerating the pace and sophistication of data acquisition in
glycoscience, the transformation of these data to glycobiology knowledge, insight, and understanding is
slowed by the limited number of tools that facilitate their integration with biological knowledge from
genetics, proteomics, pathology, and other disciplines. Our grant application describes the development
of an integrated, extendable, and cross-disciplinary resource providing tools and data to address specific
scientific questions that can currently be answered only by extensive literature-based research and
manual collection of data from disparate databases and websites. Using insight gained during our
planning grant activities, including a workshop focused on evaluating existing resources and community
needs, we propose to develop a broadly relevant and sustainable glycoinformatics resource to connect
glycoscience with the explosion of data that is revolutionizing biology. We identified critical gaps that
need to be filled and challenges that must be overcome to create an enduring and sustainable
glycoinformatics resource that goes beyond mapping glycan data to genes and proteins to identify and
integrate diverse multidisciplinary knowledge from EMBL-EBI, NCBI, UniProt, UniCarbKB, CAZy, Gene
Ontology and other sources. To maximize synergy among these resources, we propose a new glycan
array data repository and enhanced ontologies to facilitate integration of glycan and glycoconjugate
expression and interaction data with other information. Evaluating these data in the context of
knowledge about genetic mutations, gene expression, protein function and other phenomena will provide
new opportunities for systems-level understanding of the roles of glycosylation in disease and
development. This comprehensive data integration framework will provide unprecedented support for
complex queries spanning diverse data types relevant to glycobiology. Technical advances required to
implement this framework include evidence tagging of data, ontology and standards development, and
new interfaces that enable data mining, sharing, and dissemination. Community engagement, especially
with scientists who do not specialize in glycobiology, will be emphasized to maximize the relevance of
our resource. We will develop a portal to make all this information publicly available in standard formats
supported by NCBI and EMBL-EBI and in new formats we develop, promoting sharing of data and their
ultimate integration into these widely used informatics resources.

## Key facts

- **NIH application ID:** 10178041
- **Project number:** 5U01GM125267-05
- **Recipient organization:** UNIVERSITY OF GEORGIA
- **Principal Investigator:** Raja Mazumder
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1,942,440
- **Award type:** 5
- **Project period:** 2017-09-01 → 2023-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10178041

## Citation

> US National Institutes of Health, RePORTER application 10178041, Computational and Informatics Resources and Tools for Glycoscience Research (5U01GM125267-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10178041. Licensed CC0.

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