DrGA

DrGA automates downstream analyses for predicted driver genes in cancer research, providing an R-based pipeline for identification and characterization of driver genes in human breast cancer and genomic biomarkers in other organisms.

Key Features:

• R package: Implemented as an R package for driver gene analysis workflows.
• Automation of downstream analyses: Fully automates four widely used downstream analyses for predicted driver genes.
• Pipeline refinement: Refines and automates an earlier pipeline introduced by the authors to consolidate analytical steps.
• Standardization for reproducibility: Standardizes analytical processes to improve consistency and reproducibility of results.
• Cross-organism applicability: Demonstrated on human breast cancer driver genes and applicable to genomic biomarkers of complex diseases in other organisms.

Scientific Applications:

• Driver gene identification: Identification and characterization of driver genes contributing to cancer development.
• Genetic basis of cancer: Analysis to support understanding of genetic underpinnings of cancer and discovery of diagnostic markers and therapeutic targets.
• Comparative biomarker analysis: Analysis of genomic biomarkers and complex disease-associated variants across different organisms.

Methodology:

Implements an integrated R pipeline that automates four widely used downstream analyses and standardizes analytical processes.