1Department of Molecular Oncology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway and 2Department of Informatics, Faculty of Mathematics and Natural Sciences and 3Centre for Cancer Biomedicine, Faculty of Medicine, University of Oslo, Oslo, Norway
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Summary:Advances in high-throughput RNA sequencing have enabled more efficient detection of fusion transcripts, but the technology and associated software used for fusion detection from sequencing data often yield a high false discovery rate. Good prioritization of the results is important, and this can be helped by a visualization framework that automatically integrates RNA data with known genomic features. Here we present chimeraviz, a Bioconductor package that automates the creation of chimeric RNA visualizations. The package supports input from nine different fusion-finder tools: deFuse, EricScript, InFusion, JAFFA, FusionCatcher, FusionMap, PRADA, SOAPfuse and STAR-FUSION.Availability and implementation:chimeraviz is an R package available via Bioconductor (https://bioconductor.org/packages/release/bioc/html/chimeraviz.html) under Artistic-2.0. Source code and support is available at GitHub (https://github.com/stianlagstad/chimeraviz).Contact:firstname.lastname@example.orgSupplementary information:Supplementary data are available at Bioinformatics online.