# ubergraph

> software project to integrate OBO ontologies

**Wikidata**: [Q117301068](https://www.wikidata.org/wiki/Q117301068)  
**Source**: https://4ort.xyz/entity/ubergraph

## Summary
Ubergraph is a software project designed to integrate OBO ontologies, a collection of structured vocabularies used in biology and medicine. It serves as a tool for consolidating and interlinking ontologies such as Uberon, the Cell Ontology, and the Gene Ontology, enabling more comprehensive data analysis in biomedical research.

## Key Facts
- **Instance of**: Software project and software
- **License**: 3-clause BSD License
- **Depends on software**: Uberon, Cell Ontology, Provisional Cell Ontology, Gene Ontology, Biological Spatial Ontology, Phenotype And Trait Ontology, Ontology of Biological Attributes, Human Phenotype Ontology, Mammalian Phenotype Ontology, Fission Yeast Phenotype Ontology
- **Source code repository**: [GitHub](https://github.com/INCATools/ubergraph)
- **Primary purpose**: Integration of OBO ontologies for biomedical research

## FAQs
### Q: What is the purpose of ubergraph?
A: Ubergraph is a software project that integrates OBO ontologies, which are structured vocabularies used in biology and medicine. It consolidates and interlinks these ontologies to facilitate more comprehensive data analysis in biomedical research.

### Q: Which ontologies does ubergraph integrate?
A: Ubergraph integrates ontologies such as Uberon, the Cell Ontology, the Gene Ontology, and several phenotype-specific ontologies, including the Human Phenotype Ontology and Mammalian Phenotype Ontology.

### Q: What license does ubergraph use?
A: Ubergraph is released under the 3-clause BSD License, which allows for open use, modification, and distribution with certain conditions.

### Q: Where can I find the source code for ubergraph?
A: The source code for ubergraph is available on GitHub at [https://github.com/INCATools/ubergraph](https://github.com/INCATools/ubergraph).

### Q: Is ubergraph suitable for biomedical research?
A: Yes, ubergraph is designed to support biomedical research by providing a unified framework for integrating and analyzing OBO ontologies, which are widely used in the field.

## Why It Matters
Ubergraph plays a critical role in biomedical research by integrating OBO ontologies, which are essential for standardized terminology and data interoperability. By consolidating ontologies such as Uberon, the Cell Ontology, and the Gene Ontology, ubergraph enables researchers to analyze complex biological and medical data more effectively. This integration facilitates better understanding of biological processes, disease mechanisms, and phenotypic traits, ultimately advancing scientific discovery and clinical applications. The project’s open-source nature, under the 3-clause BSD License, ensures accessibility and collaboration within the research community.

## Notable For
- **Integration of OBO ontologies**: Ubergraph uniquely combines multiple OBO ontologies into a single framework, enhancing data analysis capabilities in biomedical research.
- **Support for biomedical research**: It provides a standardized approach to integrating biological and medical data, improving the accuracy and efficiency of research.
- **Open-source licensing**: The 3-clause BSD License allows for broad use and modification, fostering collaboration and innovation in the research community.
- **Comprehensive ontology coverage**: Ubergraph includes a wide range of ontologies, from anatomical structures (Uberon) to phenotypic traits (Human Phenotype Ontology), making it a versatile tool for diverse research needs.

## Body
### Overview
Ubergraph is a software project developed to integrate OBO ontologies, which are structured vocabularies used in biology and medicine. The project aims to consolidate and interlink these ontologies to support more comprehensive data analysis in biomedical research.

### Key Features
- **Ontology Integration**: Ubergraph integrates ontologies such as Uberon, the Cell Ontology, the Gene Ontology, and several phenotype-specific ontologies, including the Human Phenotype Ontology and Mammalian Phenotype Ontology.
- **Open Licensing**: The project is released under the 3-clause BSD License, which allows for open use, modification, and distribution with certain conditions.
- **Source Availability**: The source code is available on GitHub, enabling community contributions and customization.

### Technical Details
- **Dependencies**: Ubergraph relies on multiple OBO ontologies, including Uberon, the Cell Ontology, and the Gene Ontology, among others.
- **Purpose**: The primary purpose of ubergraph is to provide a unified framework for integrating and analyzing OBO ontologies in biomedical research.

### Significance
Ubergraph is notable for its role in advancing biomedical research by facilitating the integration of OBO ontologies. Its open-source nature and comprehensive ontology coverage make it a valuable tool for researchers and developers in the field.

## References

1. [Source](https://github.com/INCATools/ubergraph)