JAFFAL: detecting fusion genes with long-read transcriptome sequencing

Genome Biol. 2022 Jan 6;23(1):10. doi: 10.1186/s13059-021-02588-5.

Abstract

In cancer, fusions are important diagnostic markers and targets for therapy. Long-read transcriptome sequencing allows the discovery of fusions with their full-length isoform structure. However, due to higher sequencing error rates, fusion finding algorithms designed for short reads do not work. Here we present JAFFAL, to identify fusions from long-read transcriptome sequencing. We validate JAFFAL using simulations, cell lines, and patient data from Nanopore and PacBio. We apply JAFFAL to single-cell data and find fusions spanning three genes demonstrating transcripts detected from complex rearrangements. JAFFAL is available at https://github.com/Oshlack/JAFFA/wiki .

Keywords: Fusions; Long reads; Nanopore; PacBio; RNA sequencing; Translocations.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Gene Fusion
  • High-Throughput Nucleotide Sequencing*
  • Humans
  • Sequence Analysis, DNA
  • Transcriptome*