Ontology highlight
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://b
SUBMITTER: Lagstad S
PROVIDER: S-EPMC5870674 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature