Cordova: web-based management of genetic variation data

Area of Science:

• Genomics
• Bioinformatics
• Clinical Genetics

Background:

• Interpreting genetic variations is crucial for clinical diagnostics and research.
• Existing tools may not adequately integrate pathogenicity predictions with variation data.
• A centralized, curated database is needed to streamline this process.

Purpose of the Study:

• To introduce Cordova, an integrated solution for managing genetic variation data.
• To facilitate the determination of clinical significance for genetic variations.
• To support both manual and computational curation of variation data.

Main Methods:

• Cordova provides an out-of-the-box solution for building and maintaining an online genetic variation database.
• It integrates pathogenicity prediction results from popular algorithms.
• The system offers an interface for reviewing, curating, and sharing genetic variation data.

Main Results:

• Cordova enables the integration of genetic variation data with pathogenicity predictions.
• It offers tools for manual and computational data curation.
• The platform facilitates data sharing for clinical diagnostics and research advancement.

Conclusions:

• Cordova serves as a valuable resource for researchers and clinician-scientists.
• The system aids in determining the clinical significance of genetic variations.
• Cordova supports the advancement of genetic diagnostics and research through data management and sharing.