Abstract
Gene fusion detection is essential for diagnosis, prognosis and treatment of cancer.Traditional methods for detecting gene fusions involve mapping short reads to a reference genome or transcriptome.However, these methods often yield a high number of false positives and require extensive filtering steps.Enhancing these methods with a targeted assembly subroutine mitigates this problem, but…