Abstract
The CRISPR-Cas system has revolutionized modern life sciences, enabling groundbreaking applications ranging from functional genomics to therapeutic development. Despite its transformative potential, significant technical limitations persist in current computational tools for quantifying editing efficiency - particularly concerning data processing capabilities, analytical throughput, and operational flexibility. This research presents SuperDecode, a novel computational framework designed to address these methodological constraints. The SuperDecode offers key advantages, including local processing capabilities, large-size sequencing files, batch-processing, and diversified operational functions.