PubMeth reviewed methylation database in cancer

PubMeth reviewed methylation database in cancer catalogs DNA methylation reports from the literature across cancer types to support epigenetic research and biomarker discovery.

Key Features:

• Automated Text-Mining: Employs text-mining algorithms to scan Medline/PubMed abstracts for gene methylation reports and gene aliases.
• Manual Curation: Selected abstracts undergo manual review and annotation to verify relevance and accuracy.
• Comprehensive Data Overview: Summarizes findings across multiple genes and cancer types to facilitate identification of methylation patterns and correlations.

Scientific Applications:

• Epigenetic analysis: Supports analysis of DNA methylation patterns and gene regulation in cancer.
• Biomarker and therapeutic target discovery: Aids identification of candidate methylation biomarkers and potential therapeutic targets in oncology.
• Comparative cancer profiling: Enables comparison of methylation occurrences across cancer types and subtypes.

Methodology:

Automated text-mining of Medline/PubMed abstracts to extract gene methylation reports and aliases, followed by manual review and annotation of selected abstracts.