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