Genomic Variant Analysis and Clustering Pipeline

Create a comprehensive Python pipeline for processing and analyzing large-scale genomic variant data using Biopython, pandas, and scikit-learn. Develop algorithms to cluster genetic variants, calculate mutation frequencies, and generate network graphs representing genetic relationships. Implement advanced filtering mechanisms for handling different variant types, create a modular system for integrating multiple genomic databases, and develop a reporting framework that produces interactive visualizations using Plotly and NetworkX.