Related Experiment Video
Updated: May 26, 2025
11:02
Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
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FuSViz-visualization and interpretation of structural variation using cancer genomics and transcriptomics data
Sen Zhao1, Sigve Nakken2,3,4, Daniel Vodak1
1Department of Pathology, Oslo University Hospital, 0424 Oslo, Norway.
Nucleic Acids Research
|February 25, 2025
Summary
FuSViz is a new tool that helps researchers visualize and interpret structural variations (SVs) in cancer genomes. It aids in identifying key genetic alterations for cancer driver events and biomarker discovery.
Area of Science:
- Genomics
- Cancer Biology
- Bioinformatics
Background:
- Structural variations (SVs) are crucial genetic alterations in cancer genome evolution.
- High-throughput sequencing technologies have advanced SV detection at DNA and RNA levels.
- SV detection requires manual curation due to false positives, impacting quality control.
Purpose of the Study:
- To introduce FuSViz, an application for visualizing, interpreting, and prioritizing structural variations (SVs).
- To enable comprehensive analysis of SVs and their impact on cancer development and biomarker discovery.
Main Methods:
- Developed FuSViz, a user-friendly application for SV analysis.
- Integrated DNA and RNA sequencing data for SV calling.
- Implemented multiple data view approaches for SV investigation.
Main Results:
- FuSViz facilitates the investigation of SV prevalence and recurrence in sample cohorts.
- The tool illustrates the biological impact of SVs on genes and genomic regions.
- It supports the evaluation of both recurrent and private SVs.
Conclusions:
- FuSViz assists in pathogenicity evaluation and biomarker discovery for cancer sequencing projects.
- The application enhances the interpretation and prioritization of structural variations.
- It aids in understanding the role of SVs in cancer development.
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