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This repository contains an end-to-end tumour-only somatic variant-calling pipeline (GATK Mutect2 + snpEff) for triple-negative breast cancer whole-exome data, focused on BRCA1/BRCA2/TP53, built on Visual Studio Code via Google Colab.
A computational framework utilizing Boolean implication networks to decipher asymmetric regulatory logic in 17q-amplified breast cancer, integrating transcriptomic and epigenomic data under BRCA1 stratification.
Visualization and structural interpretation of the human BRCA1 protein using PyMOL, including secondary structure analysis, surface topology visualization, and three-dimensional structural exploration.