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Peryton: a manual collection of experimentally supported microbe-disease associations
Giorgos Skoufos1,2, Filippos S Kardaras2,3, Athanasios Alexiou2,3
1Department of Electrical & Computer Engineering, Univ. of Thessaly, Volos 38221, Greece.
Abstract:
We present Peryton (https://dianalab.e-ce.uth.gr/peryton/), a database of experimentally supported microbe-disease associations. Its first version constitutes a novel resource hosting more than 7900 entries linking 43 diseases with 1396 microorganisms. Peryton's content is exclusively sustained by manual curation of biomedical articles. Diseases and microorganisms are provided in a systematic, standardized manner using reference resources to create database dictionaries. Information about the experimental design, study cohorts and the applied high- or low-throughput techniques is meticulously annotated and catered to users. Several functionalities are provided to enhance user experience and enable ingenious use of Peryton. One or more microorganisms and/or diseases can be queried at the same time. Advanced filtering options and direct text-based filtering of results enable refinement of returned information and the conducting of tailored queries suitable to different research questions. Peryton also provides interactive visualizations to effectively capture different aspects of its content and results can be directly downloaded for local storage and downstream analyses. Peryton will serve as a valuable source, enabling scientists of microbe-related disease fields to form novel hypotheses but, equally importantly, to assist in cross-validation of findings.
Insights
Peryton is a new database detailing over 7900 experimentally verified microbe-disease links. This resource aids researchers in exploring microbial roles in diseases and validating scientific findings.
Area of Science:
- Microbiology
- Infectious Diseases
- Bioinformatics
Background:
- Microbe-disease associations are crucial for understanding pathogenesis.
- Existing databases may lack comprehensive, experimentally validated data.
- Manual curation ensures data accuracy and reliability.
Purpose of the Study:
- To introduce Peryton, a novel database of experimentally supported microbe-disease associations.
- To provide a structured and searchable resource for microbial and disease data.
- To facilitate hypothesis generation and cross-validation in microbe-related research.
Main Methods:
- Manual curation of biomedical literature for microbe-disease evidence.
- Standardization of disease and microorganism terms using reference resources.
- Annotation of experimental details, including design, cohorts, and techniques.
Main Results:
- Peryton version 1 contains over 7900 entries linking 43 diseases with 1396 microorganisms.
- Data is systematically organized with standardized terminologies.
- Includes detailed annotations on experimental methodologies and study parameters.
Conclusions:
- Peryton serves as a valuable, curated resource for the scientific community.
- Enables efficient querying, filtering, and visualization of microbe-disease associations.
- Supports hypothesis formation and validation in fields studying microbial roles in diseases.