NosoGraph is a graph database which is a structured representation of information where entities (e.g., objects and concepts) are nodes, and their relationships are edges, forming a graph of interconnected data. NosoGraph plays a crucial role in building knowledge graphs by efficiently storing and querying these complex, interconnected datasets, allowing for the retrieval of information based on relationships rather than just discrete data points. NosoGraph can be used to map the relationships between microorganisms, their genetic information, metabolic pathways, interactions with environments or hosts, and related epidemiological data of the microorganisms of interest.
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| Figure 1: An illustration of entities relationship pattern for managing bacterial whole genome sequencing data and all relevant information by NosoGraph. A directed arrow indicates a one-way relationship between entities, while an undirected line indicates bi-directional relationships. Yellow rounded squares indicate data classes, such as surface antigens, antimicrobial resistance, and virulence factors. Blue circles indicate information that will be included in the clinical report. The sky-blue boundary outlines the data generated by the sequencing method. The numbers correspond to the text descriptions within the main paragraph. |
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| Figure 2: An example of a clinical report generated by NosoGraph which is accessible to the physician. The report contains four major set of information, namely ID of a patient, Pathogen Identification, Genetic Impression, and Resistance Profile. |
Important
This project is currently under active development, no release have been made.