<p>BioThings Explorer: A query engine for a federated knowledge graph of biomedical APIs</p>

Jackson Callaghan; Colleen H Xu; Jiwen Xin; Marco Alvarado  Cano; Anders Riutta; Eric Zhou; Rohan Juneja; Yao Yao; Madhumita Narayan; Kristina Hanspers; Ayushi Agrawal; Alexander R Pico; Chunlei Wu; Andrew I Su

doi:10.7490/f1000research.1119577.1

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How to cite this poster:

Callaghan J, Xu CH, Xin J et al. BioThings Explorer: A query engine for a federated knowledge graph of biomedical APIs [version 1; not peer reviewed]. F1000Research 2023, 12:1029 (poster) (https://doi.org/10.7490/f1000research.1119577.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

BioThings Explorer: A query engine for a federated knowledge graph of biomedical APIs

Jackson Callaghan, Colleen H Xu, Jiwen Xin, Marco Alvarado Cano, Anders Riutta, Eric Zhou, Rohan Juneja, Yao Yao, Madhumita Narayan, Kristina Hanspers, Ayushi Agrawal, Alexander R Pico, Chunlei Wu¹, Andrew I Su¹

Published 23 Aug 2023 (https://doi.org/10.7490/f1000research.1119577.1)

Author Affiliations

¹ Department of Integrative Structural and Computational Biology, Scripps Research Institute Department of Integrative Structural and Computational Biology, San Diego, California, USA

Copyright © 2023 Callaghan J et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 23 Aug 2023

BioThings Explorer: A query engine for a federated knowledge graph of biomedical APIs
[version 1; not peer reviewed]

Author Affiliations

¹ Department of Integrative Structural and Computational Biology, Scripps Research Institute Department of Integrative Structural and Computational Biology, San Diego, California, USA

Presented at

Bioinformatics Open Source Conference (BOSC), 2023

Abstract

Competing Interests

No competing interests were disclosed

Keywords

knowledge graphs, data federation, semantic annotation, API, application, query engine

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