Despite advancements, several challenges remain in fusion gene detection:
Complexity of Data: The vast amount of data generated by techniques like NGS requires sophisticated bioinformatics tools for analysis and interpretation. Low Abundance: Fusion transcripts may be present at low levels, making detection difficult, especially in heterogeneous tumor samples. Identification of Novel Fusions: While identifying known fusions is straightforward, discovering novel fusions requires extensive validation and characterization.
