Related Experiment Video
Updated: Jul 31, 2026
13:24
Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
confFuse: High-Confidence Fusion Gene Detection across Tumor Entities
Zhiqin Huang1, David T W Jones2,3, Yonghe Wu1,4
1Division of Molecular Genetics, German Cancer Research Center, Heidelberg, Germany.
Frontiers in Genetics
|October 17, 2017
Summary
confFuse is a new algorithm that reliably identifies high-confidence cancer fusion genes from RNA-seq data. This tool significantly reduces false positives, improving prioritization for experimental validation and cancer research.
Area of Science:
- Oncology
- Bioinformatics
- Genomics
Background:
- Fusion genes are critical drivers in cancer development.
- Next-generation sequencing (NGS) enables fusion gene detection, but tools often yield numerous false positives.
- Prioritizing accurate fusion gene candidates is essential for cancer research.
Purpose of the Study:
- To develop confFuse, a scoring algorithm for reliable selection of high-confidence fusion genes.
- To improve the accuracy and efficiency of fusion gene identification in cancer research.
Main Methods:
- confFuse assigns a confidence score to fusion gene candidates based on curated parameters.
- The algorithm was evaluated on 96 RNA-seq samples across various tumor types.
- Performance was compared against existing fusion gene detection tools.
Main Results:
- confFuse significantly reduced the number of fusion candidates, identifying 301 high-confidence predictions from 8,083 total.
- The method achieved a high detection accuracy with an 85.7% recovery rate.
- Experimental validation of 18 novel, high-confidence fusions in breast tumors showed a 100% success rate.
Conclusions:
- confFuse is an effective downstream filtering method for selecting reliable fusion gene candidates.
- The tool aids in prioritizing genes for further analysis and experimental validation in cancer studies.
- confFuse is publicly available for use in fusion gene discovery.
