Revana

Revana analyzes regulatory variants in cancer genomes to link non-coding alterations to gene expression changes and prioritize regulatory events.

Key Features:

• Gene-Centric Visualization: Visualizes regulatory variants in a gene-centric context to relate non-coding alterations to potential effects on gene expression.
• Data Integration: Aggregates whole-genome sequencing and RNA sequencing data from tumor samples and integrates structural variant breakpoints, enhancer elements, and gene locus annotations.
• Report Generation: Generates HTML reports summarizing identified regulatory events and their genomic context.

Scientific Applications:

• Regulatory variant interpretation in cancer: Supports interpretation of non-coding regulatory variants and potential non-coding driver mutations in tumor genomes.
• Linking alterations to expression: Facilitates linking structural variants and enhancer perturbations to changes in gene expression using WGS and RNA-seq integration.
• Target prioritization: Aids prioritization of regulatory events as candidate therapeutic targets or mechanistic hypotheses.

Methodology:

Aggregates whole-genome and RNA sequencing of tumor samples, integrates structural variant breakpoints, enhancer elements, and gene locus annotations, performs gene-centric visualization of regulatory variants, and outputs HTML reports summarizing regulatory events.