SL-Miner

SL-Miner mines and prioritizes cancer-specific synthetic lethality relationships between a primary gene and candidate SL partner genes to identify context-specific therapeutic vulnerabilities.

Key Features:

• Evidence Integration: Aggregates multiple types of biological evidence to support synthetic lethality predictions.
• Genetic Context Specificity: Accounts for the genetic context specificity of SL interactions across specific cancer types.
• Data Visualization: Provides visualization options including volcano plots and box plots for interpretation of SL evidence.
• Prioritization: Ranks candidate SL partner genes for a given primary gene within cancer-type contexts based on integrated evidence.

Scientific Applications:

• Therapeutic target identification: Identifies and prioritizes candidate synthetic lethal targets to inform development of targeted cancer therapies within specific cancer contexts.
• Cancer genomics research: Provides evidence-backed SL interaction predictions to support studies in cancer biology and genomics focused on context-specific vulnerabilities.

Methodology:

Integrates diverse types of biological evidence using computational methods to predict and prioritize synthetic lethal interactions within specified cancer types.