Genome Biology (Jan 2022)

JAFFAL: detecting fusion genes with long-read transcriptome sequencing

  • Nadia M. Davidson,
  • Ying Chen,
  • Teresa Sadras,
  • Georgina L. Ryland,
  • Piers Blombery,
  • Paul G. Ekert,
  • Jonathan Göke,
  • Alicia Oshlack

DOI
https://doi.org/10.1186/s13059-021-02588-5
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 20

Abstract

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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 .

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