Background#R##N#The extraordinary success of imatinib in the treatment of BCR-ABL1 associated cancers underscores the need to identify novel functional gene fusions in cancer. RNA sequencing offers a genome-wide view of expressed transcripts, uncovering biologically functional gene fusions. Although several bioinformatics tools are already available for the detection of putative fusion transcripts, candidate event lists are plagued with non-functional read-through events, reverse transcriptase template switching events, incorrect mapping, and other systematic errors. Such lists lack any indication of oncogenic relevance, and they are too large for exhaustive experimental validation.
['Francesco Abate', 'Sakellarios Zairis', 'Elisa Ficarra', 'Andrea Acquaviva', 'Chris H. Wiggins', 'Véronique Frattini', 'Anna Lasorella', 'Antonio Iavarone', 'Giorgio Inghirami', 'Raul Rabadan']
Pegasus: a comprehensive annotation and prediction tool for detection of driver gene fusions in cancer