FGviewer

FGviewer visualizes functional features of human fusion genes across DNA, RNA, protein, and pathogenic levels to elucidate their molecular and clinical consequences.


Key Features:

  • Multi-level annotations: Annotates fusion genes at four distinct levels—DNA, RNA, protein, and pathogenic.
  • Breakpoint visualization: Highlights breakpoints within gene bodies across molecular levels and distinguishes involvement of specific functional zones.
  • Fusion sequence reconstruction: Derives fusion mRNA and amino acid sequences from user-defined breakpoint coordinates.
  • Regulatory element mapping: Identifies swapped transcription factor binding sites and miRNA binding sites that can alter gene expression regulation.
  • Protein feature annotation: Reports protein domains, protein–protein interactions, binding sites for various molecules, and secondary structure features.
  • Clinical variant integration: Incorporates clinically relevant variants to provide insights into pathogenic implications of fusion genes.

Scientific Applications:

  • Cancer research: Visualizes and annotates tumorigenic fusion genes to assess how retention or loss of functional or regulatory domains can drive tumorigenesis.
  • Therapeutic target prioritization: Highlights functional and regulatory changes in fusion genes to support prioritization of therapeutic targets.
  • Disease mechanism elucidation: Integrates molecular and clinical annotations to aid interpretation of how fusion genes contribute to disease mechanisms.

Methodology:

Accepts fusion gene symbols, breakpoint coordinates, or structural variants derived from whole-genome sequence (WGS) data and derives fusion mRNA and amino acid sequences and annotations at DNA, RNA, protein, and pathogenic levels.

Topics

Details

Tool Type:
web application
Added:
1/18/2021
Last Updated:
3/11/2021

Operations

Publications

Kim P, Yiya K, Zhou X. FGviewer: an online visualization tool for functional features of human fusion genes. Nucleic Acids Research. 2020;48(W1):W313-W320. doi:10.1093/nar/gkaa364. PMID:32421816. PMCID:PMC7319540.

PMID: 32421816
PMCID: PMC7319540
Funding: - National Institutes of Health: R01CA241930, R01GM123037, U01AR069395