Gene fusion model

For comprehensive and simple analysis of detected gene fusions and clinical reporting.

Gene fusions have been recognized as driver mutations in neoplasia, and insights gained have helped to shape our understanding of the carcinogenic process. 
gene fusions



Today they play an important role in the cancer diagnostics workup and can help with:

  • Diagnosis and Disease Sub-classification

  • Screening

  • Treatment Stratification

  • Monitoring of Minimal Residual Disease

Important diagnostics markers


Gene fusion detection is crucial for accurate diagnosis, prognosis, and determining therapeutic targets.


RNA-sequencing enables unbiased gene fusion detection and can improve therapy selection by providing a treatment with targeted agents, see example in table. 

Gene fusions drugs

Qlucore’s Gene fusion model

Scalable and visualization-based solution for fusion driven diagnostics, from data to report based on RNA seq and standard NGS workflows.

The model includes:
Qlucore’s Gene fusion model


  • User-friendly interface for exploration of detected gene fusions, with no need for bioinformatics expertise.  

  • Integration with gene fusion data bases (Mitelman and Tumorfusions) for comprehensive analysis and evaluation. 

  • Easy filtering options on relevant quality metrics, location and more, to quickly identify the fusions of most relevance. 

  • Highly customizable report.  

Supported data

supported data
  • RNA-seq data, reference genome hg 19 or hg 38.  

  • Supported fusion callers 

    • Fusion-Catcher 

    • STAR-Fusion 

    • Arriba

    • Manta (TSO500)

Work is ongoing to support more data formats. 

Short introduction video

Watch here

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