Variant graph craft (VGC): a comprehensive tool for analyzing genetic variation and identifying disease-causing...

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• Variant Call Format (VCF) files are essential for genomic variation data analysis.
• Interpreting and visualizing VCF data presents significant challenges requiring specialized tools.

Purpose of the Study:

• Introduce Variant Graph Craft (VGC), a novel tool for VCF file visualization and analysis.
• Address the challenges in exploring and interpreting complex genomic variation data.

Main Methods:

• Developed VGC with features for variant data extraction, intuitive visualization, and graphical representation of sample genotypes.
• Integrated external databases like MSigDB, gnomAD, and ClinVar for gene function and variant information.
• Ensured compatibility with Human Genome Assemblies Hg37 and Hg38, supporting optional phenotype data input.

Main Results:

• VGC offers a comprehensive suite of features for exploring genetic variations in patient cohorts, individual probands, or families.
• Seamless integration with external resources provides insights into gene function and variant frequencies.
• The tool supports multiple genome assemblies and customizable queries for targeted variant analysis.

Conclusions:

• VGC is an effective, secure, and user-friendly tool for identifying disease-associated variants.
• Local operation ensures data privacy and security, eliminating cloud-based VCF uploads.
• VGC is freely available, enhancing accessibility for researchers in genomics.