Developed a command-line enhancement for the Clinical-Genomics/cg repository by introducing the --soft-filter-normal argument to the Balsamic workflow, targeting tumor-normal paired analyses in TGA workflows. This feature, implemented in Python, allows users to control normal sample filtration, defaulting to enabled for workflows using a verified panel bed but offering the flexibility to disable it for broader experimental needs. The approach focused on improving workflow management and reproducibility by aligning filtration options with deployment requirements. The work emphasized robust software development practices in bioinformatics, delivering a targeted feature that increases analytical flexibility and supports safer, more adaptable clinical genomics pipelines.