Publication Date:
2025
Short description:
A Benchmark Study of Gene Fusion Prioritization Tools / Miccolis, F.; Lovino, M.; Ficarra, E.. - 14513:(2025), pp. 202-211. ( 18th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2023 ita 2023) [10.1007/978-3-031-90714-2_15].
abstract:
A gene fusion is a chromosomal aberration from juxtaposing separate genes. Since some gene fusions are involved in tumorigenesis, proper gene fusion investigation and analysis are crucial in the literature. After DNA/RNA sample extraction, detecting gene fusions requires first gene fusion detection tools, which usually provide many false positives. Given the high experimental costs in wet lab validation of a single fusion, gene fusion prioritization tools were made available over the years to significantly narrow down candidate gene fusions for validation (e.g., Oncofuse, Pegasus, DEEPrior, ChimerDriver). Although a few reviews about gene fusion detection tools are available, a benchmark on prioritization tools is not available yet in the literature. The aim of this paper is twofold: 1. to provide a curated dataset for a fair gene fusion prioritization tool evaluation. 2. to develop a proper comparison based on time, resources, and tool confidence on selected gene fusions. Based on this benchmark, it can be stated that ChimerDriver is the most reliable tool for prioritizing oncogenic fusions.
Iris type:
Relazione in Atti di Convegno
Keywords:
benchmark; gene fusions; kinases; oncogenes; prioritization
List of contributors:
Miccolis, F.; Lovino, M.; Ficarra, E.
Full Text:
Book title:
Lecture Notes in Computer Science
Published in: