ChimeraScan

ChimeraScan identifies chimeric transcripts in RNA-Seq and next-generation sequencing (NGS) data to enable de novo gene fusion discovery and characterization.

Key Features:

• Chimeric transcript detection: Identifies instances where two separate transcripts are joined, indicating potential chimeric transcription events.
• De novo gene fusion discovery: Enables discovery of novel gene fusion candidates from transcriptome sequencing data.
• RNA-Seq and NGS support: Operates on high-throughput RNA-Seq and other NGS transcriptome datasets.
• High-throughput transcriptome analysis: Processes large-scale transcriptome sequencing data to detect fusion candidates across samples.
• Event discrimination: Applies computational algorithms to discern complex chimeric events from vast amounts of sequencing data and background signals.
• Fusion characterization: Provides characterization of detected candidate gene fusions to support downstream interpretation.

Scientific Applications:

• Cancer research: Detects gene fusions in tumor transcriptomes that may have therapeutic implications.
• Oncogenesis studies: Facilitates investigation of transcriptome rearrangements relevant to understanding oncogenic processes.
• Target discovery: Supports identification of novel fusion-derived candidates for therapeutic development.

Methodology:

Analyzes RNA-Seq data to identify joined transcripts and uses computational algorithms to discern chimeric events from large sequencing datasets for detection and characterization of potential gene fusions.