Ontology highlight
ABSTRACT:
SUBMITTER: Uhrig S
PROVIDER: S-EPMC7919457 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature
Genome research 20210113 3
The identification of gene fusions from RNA sequencing data is a routine task in cancer research and precision oncology. However, despite the availability of many computational tools, fusion detection remains challenging. Existing methods suffer from poor prediction accuracy and are computationally demanding. We developed Arriba, a novel fusion detection algorithm with high sensitivity and short runtime. When applied to a large collection of published pancreatic cancer samples (<i>n</i> = 803), ...[more]