MeInfoText: A Database for Gene Methylation and Cancer Information
Author Information
Author(s): Fang Yu-Ching, Huang Hsuan-Cheng, Juan Hsueh-Fen
Primary Institution: National Taiwan University
Hypothesis
The study aims to develop a database that provides gene methylation information from text mining to facilitate epigenetics research.
Conclusion
MeInfoText is a unique database that provides comprehensive gene methylation and cancer association information.
Supporting Evidence
- MeInfoText provides comprehensive association information about gene methylation and cancer.
- The database integrates protein-protein interaction and biological pathway information.
- MeInfoText allows users to query gene methylation profiles across different cancer types.
Takeaway
MeInfoText is like a big library that helps scientists find out how certain genes are related to cancer by looking at lots of research papers.
Methodology
The database was constructed using MySQL and Perl, integrating information from literature mining and providing a web interface for querying gene methylation and cancer associations.
Limitations
The precision and recall of the gene synonym dictionary and cancer name recognitions were not perfect, indicating some limitations in the data extraction process.
Digital Object Identifier (DOI)
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