Genomic Variant Analysis and Interpretation Platform

Develop a comprehensive Python-based bioinformatics pipeline for processing and analyzing next-generation sequencing (NGS) variant data. The system must handle VCF file parsing, variant annotation, pathogenicity scoring using multiple algorithms (SIFT, PolyPhen, CADD), and generate interactive visualization reports. Implement scalable processing using Dask for large genomic datasets, with support for multiple genome builds and variant classification standards. Create a modular architecture allowing easy integration of custom annotation databases and machine learning models.