UFO
UFO calculates semantic similarity, performs enrichment analysis, and generates functional similarity networks from biomedical ontologies within Cytoscape to analyze ontology-annotated entities.
Key Features:
- Semantic Similarity Calculation: Unifies a broad array of semantic similarity measures applicable to ontology terms and annotated biomedical entities.
- Enrichment Analysis: Performs enrichment analysis on sets of biomedical entities using multiple statistical approaches.
- Network Weighing and Generation: Calculates similarities between two sets of entities, weighs imported entity networks, and generates functional similarity networks.
- Visualization Capabilities: Visualizes structural relationships between ontology terms, annotates connections between entities and terms, and illustrates functional similarities among entities.
- Ontology Format Support: Handles ontologies in OBO (Open Biomedical Ontologies) format and diverse biomedical ontology types.
Scientific Applications:
- Phenotype Similarity Assessment: Identifies and applies semantic similarity measures for assessing similarities between human disease phenotypes.
- Biomarker Prediction: Constructs functional similarity networks to support prediction of disease-associated biomarkers.
- Enrichment Analysis on Phenotypes: Performs enrichment analysis on sets of similar phenotypes to reveal overrepresented biological themes.
Methodology:
Integrates multiple semantic similarity calculation methods and enrichment analysis techniques applied to biomedical ontologies (including OBO-format ontologies) within the Cytoscape environment.
Topics
Details
- Programming Languages:
- Java
- Added:
- 1/18/2021
- Last Updated:
- 3/6/2021
Operations
Publications
Le D. UFO: A tool for unifying biomedical ontology-based semantic similarity calculation, enrichment analysis and visualization. PLOS ONE. 2020;15(7):e0235670. doi:10.1371/journal.pone.0235670. PMID:32645039. PMCID:PMC7347127.
PMID: 32645039
PMCID: PMC7347127
Funding: - Vietnam National Foundation for Science and Technology Development: 102.01-2017.14