Cover Image

Revana: a comprehensive tool for regulatory variant analysis and visualization of cancer genomes

As non-coding driver mutations move more into the focus of cancer research, a comprehensive and easy-to-use software solution for regulatory variant analysis and data visualization is highly relevant. The interpretation of regulatory variants in large tumor genome cohorts requires specialized analys...

Full description

Saved in:
Bibliographic Details
Main Authors: Ulrich, Elias (Author) , Pfister, Stefan (Author) , Jäger, Natalie (Author)
Format: Article (Journal)
Language:English
Published: January 2023
In: Bioinformatics
Year: 2023, Volume: 39, Issue: 1, Pages: 1-3
ISSN:1367-4811
DOI:10.1093/bioinformatics/btac831
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1093/bioinformatics/btac831
Get full text
Author Notes:Elias Ulrich, Stefan M. Pfister and Natalie Jäger
Description
Summary:As non-coding driver mutations move more into the focus of cancer research, a comprehensive and easy-to-use software solution for regulatory variant analysis and data visualization is highly relevant. The interpretation of regulatory variants in large tumor genome cohorts requires specialized analysis and visualization of multiple layers of data, including for example breakpoints of structural variants, enhancer elements and additional available gene locus annotation, in the context of changes in gene expression. We introduce a user-friendly tool, Revana (REgulatory Variant ANAlysis), that can aggregate and visually represent regulatory variants from cancer genomes in a gene-centric manner. It requires whole-genome and RNA sequencing data of a cohort of tumor samples and creates interactive HTML reports summarizing the most important regulatory events.Revana is implemented in R and JavaScript. It is available for download as an R package under <https://github.com/KiTZ-Heidelberg/revana>. Sample results can be viewed under <https://github.com/KiTZ-Heidelberg/revana-demo-report> and a short walkthrough is available under <https://github.com/KiTZ-Heidelberg/revana-demo-data>.Supplementary data are available at Bioinformatics online.
Item Description:Gesehen am 25.04.2023
Published: 28 December 2022
Physical Description:Online Resource
ISSN:1367-4811
DOI:10.1093/bioinformatics/btac831

Similar Items