Ontology highlight
ABSTRACT:
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]