Hello everyone,

I recently developed a bioinformatics project focused on cancer variant interpretation using VCF files.

The tool processes VEP-annotated VCF data and generates structured reports based on ACMG variant classification rules.

Main workflow:

• Parse VCF variant data
• Prioritize cancer-related genes
• Apply ACMG classification rules
• Generate structured variant interpretation reports

The platform includes a simple web interface built using Streamlit where users can upload VCF files and explore variant findings interactively.

Output formats include:

• JSON report
• CSV variant table
• Clinical PDF report

The project is available here:

https://github.com/punith624/Cancer-variant-Prioritization-Pipeline

I would appreciate feedback from the community regarding improvements or potential real-world use cases.