Bioinformatics approaches are essential for analyzing sequencing data to identify fusion genes. Tools such as FusionCatcher, STAR-Fusion, and TopHat-Fusion are specifically designed to detect fusion transcripts from RNA-seq data. These tools use various algorithms to align reads to reference genomes and identify potential fusion events. Machine learning techniques are also being explored to improve the accuracy and efficiency of fusion gene detection.
