DigSee

DigSee extracts evidence sentences from MEDLINE abstracts to identify disease-gene associations mediated by biological events relevant to cancer research.

Key Features:

• MEDLINE text-mining: Uses MEDLINE abstracts as the primary data source and applies text-mining to retrieve relevant literature evidence.
• Evidence-sentence extraction: Identifies and compiles evidence sentences that link specific genes to cancer development.
• Biological-event detection: Detects and annotates biological events including gene expression, regulation, phosphorylation, localization, and protein catabolism.

Scientific Applications:

• Cancer research: Provides literature-based evidence linking genes and specific biological events to cancer mechanisms.
• Gene-disease association studies: Facilitates identification and characterization of gene associations with cancers through event-level evidence.

Methodology:

Applies a text-mining approach to MEDLINE abstracts to identify and compile evidence sentences that explicitly connect genes with cancer development via specified biological events.