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JAFFAL: detecting fusion genes with long-read transcriptome sequencing

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. Her...

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Detalles Bibliográficos
Autores principales: Davidson, Nadia M., Chen, Ying, Sadras, Teresa, Ryland, Georgina L., Blombery, Piers, Ekert, Paul G., Göke, Jonathan, Oshlack, Alicia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739696/
https://www.ncbi.nlm.nih.gov/pubmed/34991664
http://dx.doi.org/10.1186/s13059-021-02588-5
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02588-5.