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Rahi Navelkar

dblp:276/0808 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-4200-7409ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 67% Computational science and engineering · 33%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
data integration
0.412020
GlyGen data model and processing workflow · Bioinform. 2020
Bioinformatics and computational biology › molecular informatics
glycoinformatics
0.412020
GlyGen data model and processing workflow · Bioinform. 2020
Computational science and engineering › scientific data management
knowledge base construction
0.412020
GlyGen data model and processing workflow · Bioinform. 2020

Methods — techniques the papers use, named apart from their topics

SPARQL · 0.4
YearPublicationVenuePosition
2020 GlyGen data model and processing workflow
abstract
SUMMARY: Glycoinformatics plays a major role in glycobiology research, and the development of a comprehensive glycoinformatics knowledgebase is critical. This application note describes the GlyGen data model, processing workflow and the data access interfaces featuring programmatic use case example queries based on specific biological questions. The GlyGen project is a data integration, harmonization and dissemination project for carbohydrate and glycoconjugate-related data retrieved from multiple international data sources including UniProtKB, GlyTouCan, UniCarbKB and other key resources. AVAILABILITY AND IMPLEMENTATION: GlyGen web portal is freely available to access at https://glygen.org. The data portal, web services, SPARQL endpoint and GitHub repository are also freely available at https://data.glygen.org, https://api.glygen.org, https://sparql.glygen.org and https://github.com/glygener, respectively. All code is released under license GNU General Public License version 3 (GNU GPLv3) and is available on GitHub https://github.com/glygener. The datasets are made available under Creative Commons Attribution 4.0 International (CC BY 4.0) license. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Robel Y. Kahsay, Jeet Vora, Rahi Navelkar, Reza Mousavi, Brian C. Fochtman, Xavier Holmes, Nagarajan Pattabiraman, René Ranzinger, Rupali Mahadik, Tatiana Williamson, Sujeet Kulkarni, Gaurav Agarwal, Maria Jesus Martin, Preethi Vasudev, Leyla Jael Castro, Nathan Edwards, Darren A. Natale, Karen E. Ross, Kiyoko F. Aoki-Kinoshita, Matthew P. Campbell, William S. York, Raja Mazumder
Bioinform.3