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EmBiology provides fast access to biological relationships and pathways
Visualize millions of biological relationships to understand disease biology and get targeted data using publication, relation and concept filters. EmBiology helps you minimize the risk of research bias by removing the reliance on known search terms.
Make evidence-based research decisions for higher project success rates
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Gain a comprehensive view of the landscape, including novel results
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Draw on more reliable reported relationships published in multiple sources
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Get insights from data updated weekly extracted from full-text content
Biology Knowledge Graph
Watch a short video(opens in new tab/window) introduction to the Biology Knowledge Graph, the dataset that powers EmBiology. Biology Knowledge Graph data can be searched via EmBiology or licensed off-platform for applied analytics and modeling.
EmBiology product features
Data structure
1.4 million entities connected by 15.7 million relationships (with more added weekly), plus 87.2 million referenced and viewable facts.
Comprehensive biological content
Data is extracted from a rich array of sources, including the full text of articles. Wide journal coverage from Elsevier and non-Elsevier sources.
Natural language processing technology
TERMite text analysis engine for entity recognition plus machine learning to recognize relationships and associated properties.
Quality control of biological data
Expert reviewers have deep backgrounds and experience. They follow stringent QC processes and data are held to the highest standards.
Accurate and up to date
New full-text articles are scanned weekly. The entire dataset is rescanned annually and updated with new concepts and terms.
Frequently asked questions
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Gene expression
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Proteomics/physical interaction
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Biomarkers
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Metabolomic/mol transport and modification
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Functional association (between a disease and a cellular process or another disease)
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Regulation (used if more specific information is not available)
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34.5 million PubMed abstracts
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430,000 clinical trials
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430,000 ClinVar relationships
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Full-text articles from 936 Elsevier journals and 939 non-Elsevier journals
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200,000 BioGRID
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10,000 DrugBank
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1.3 million Reaxys drug-target relationships
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20,000 miRNA relations
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Weekly — relationships extracted from recently published PubMed abstracts and full-text journals
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Quarterly — clinical trial data
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Annually — terminologies and rules
During the annual baseline update, we reprocess the entire content collection, and extract and add more terms/concepts as the field evolves.
Data is held to the highest standards with more than:
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95% confidence for relations supported by 3+ references
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85% confidence for relations reported once
Get unparalleled insight into biological activities