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ABSTRACT: 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
rolf.i.skotheim@rr-research.no.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Lagstad S
PROVIDER: S-EPMC5870674 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature
Lågstad Stian S Zhao Sen S Hoff Andreas M AM Johannessen Bjarne B Lingjærde Ole Christian OC Skotheim Rolf I RI
Bioinformatics (Oxford, England) 20170901 18
<h4>Summary</h4>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 ...[more]