Petagraph: A large-scale unifying knowledge graph framework for integrating biomolecular and biomedical data

Over the past decade, there has been substantial growth in both the quantity and complexity of available biomedical data. In order to more efficiently harness this extensive data and alleviate challenges associated with integration of multi-omics data, we developed Petagraph, a biomedical knowledge graph that encompasses over 32 million nodes and 118 million relationships. Petagraph leverages more than 180 ontologies and standards in the Unified Biomedical Knowledge Graph (UBKG) to embed millions of quantitative genomics data points. Petagraph provides a cohesive data environment that enables users to efficiently analyze, annotate, and discern relationships within and across complex multi-omics datasets supported by UBKG's annotation scaffold. We demonstrate how queries on Petagraph can generate meaningful results across various research contexts and use cases.

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Publication Details

Journal
Scientific Data
Published
2024-12-18
DOI
https://doi.org/10.1038/s41597-024-04070-w
Citations
12
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
2.81

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article

Petagraph: A large-scale unifying knowledge graph framework for integrating biomolecular and biomedical data

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12 citations
Scientific Data
Bioinformatics and Genomic Networks
2.81
article

Petagraph: A large-scale unifying knowledge graph framework for integrating biomolecular and biomedical data

Deanne Taylor, Lance Hartman, Tiffany J. Callahan, Benjamin Stear, Shubha Vasisht, Aditya Lahiri, Taha Mohseni Ahooyi, Charles Kollar, Jonathan C. Silverstein, John K. Simmons, Christopher Nemarich, Katherine Beigel
article en
12 citations

Abstract

Over the past decade, there has been substantial growth in both the quantity and complexity of available biomedical data. In order to more efficiently harness this extensive data and alleviate challenges associated with integration of multi-omics data, we developed Petagraph, a biomedical knowledge graph that encompasses over 32 million nodes and 118 million relationships. Petagraph leverages more than 180 ontologies and standards in the Unified Biomedical Knowledge Graph (UBKG) to embed millions of quantitative genomics data points. Petagraph provides a cohesive data environment that enables users to efficiently analyze, annotate, and discern relationships within and across complex multi-omics datasets supported by UBKG's annotation scaffold. We demonstrate how queries on Petagraph can generate meaningful results across various research contexts and use cases.

Scientific DataVol. 11(1)
Children's Hospital of Philadelphia (US), University of Pittsburgh (US), Columbia University Irving Medical Center (US), University of Pennsylvania (US)
Office of Strategic Coordination
Openalex Percentile: Top 9%
Bioinformatics and Genomic Networks
2.81
DOIOpen Access PDFOpenAlex
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