We developed an automated molecular feature analysis tool was developed. This tool requires only sequencing data and reference sequences to automatically perform alignment, extraction, and analysis, yielding precise insertion sites and related molecular characteristics. The analysis tool employs a specialized false positive filtering strategy, achieving the highest detection rate and accuracy in analyzing cisgenic events among similar studies. This tool was successfully applied to two transgenic rice samples containing genomic fragments with insertion sequences, accurately identifying the insertion sites and recognizing insertions as small as 100 bp, demonstrating exceptional sensitivity. This study provides a powerful tool for molecular characterization based on high-throughput sequencing.

For more detailed statistics, please see the " Statistics" page.

For more detailed statistics, please see the " Statistics" page.