chimeraviz

chimeraviz visualizes chimeric RNAs from RNA sequencing data to present the genomic context of fusion transcripts for detection, interpretation, and prioritization.

Key Features:

• Integration with fusion-finder tools: Accepts input from deFuse, EricScript, InFusion, JAFFA, FusionCatcher, FusionMap, PRADA, SOAPfuse, and STAR-FUSION to aggregate candidate fusion calls.
• Automated visualization: Generates visual representations that integrate RNA sequencing evidence with known genomic features.
• Enhanced data interpretation: Provides visualization frameworks to assist in prioritizing candidate fusions and distinguishing likely true positives from false discoveries.

Scientific Applications:

• Cancer genomics: Supports analysis of gene fusions relevant to tumorigenesis by contextualizing fusion transcripts within the genome.
• Therapeutic target identification: Aids in identifying fusion events that may represent potential therapeutic targets or biomarkers.

Methodology:

Leverages RNA sequencing data to detect chimeric transcripts, interfaces with multiple fusion-finding algorithms, and integrates fusion evidence with genomic annotations to generate visualizations.