Damage-Net

Damage-Net performs meta-analysis and integration of published genome-wide studies, CRISPR screens, and proteomic analyses to identify gene networks involved in DNA repair and correlate them with clinical outcomes.

Key Features:

• Curated Database: Contains a repository of published results from genome-wide studies, CRISPR screens, and proteomic analyses focused on DNA repair.
• User Data Integration: Allows incorporation of user-provided datasets for combined analysis with the curated repository.
• Gene Query Functionality: Enables querying genes of interest within the aggregated datasets to examine gene-specific associations in DNA repair processes.
• Clinical Correlation Analysis: Performs correlation analyses between genetic data and clinical measures such as pan-cancer patient survival rates and mutational burden.

Scientific Applications:

• DNA Repair Mechanism Discovery: Supports meta-analysis to identify components and interactions across DNA repair pathways from multiple studies.
• Cancer Biology and Prognosis: Identifies gene networks associated with cancer evolution and prognosis by integrating genetic datasets with clinical outcomes.
• Adrenocortical Carcinoma Network Analysis: Has been used to uncover a network of genes associated with cancer progression in adrenocortical carcinoma linked to increased mutational burden and prognosis.

Methodology:

Aggregation and integration of published data from genome-wide studies, CRISPR screens, and proteomic analyses to enable meta-analysis.