Comut-viz

Comut-viz visualizes comutation plots to display mutation landscapes from mutation annotation format (MAF) files for large-scale genomic studies.


Key Features:

  • Visualization customization: Provides configurable visualization parameters including colored labels for numeric metadata and a preloaded color palette for mutation categories.
  • Large dataset support: Accepts mutation annotation format (MAF) files including those with more than 200,000 rows for analyses spanning thousands of samples.
  • Front-end processing and data privacy: Performs all processing in the browser (front-end only) without transmitting input data to external servers, preserving data privacy and avoiding server-side latency.
  • Extensibility and performance: Implements a responsive, extensible visualization engine optimized for fast rendering of large comutation plots.

Scientific Applications:

  • Mutation landscape analysis: Represents and compares somatic mutation patterns across cohorts using comutation plots.
  • Cancer genomics: Supports large-scale cancer studies for summarizing mutation co-occurrence and patterns across samples.
  • Large-scale genomic studies: Facilitates interpretation and communication of mutation patterns in studies involving thousands of samples.

Methodology:

Processes MAF files in the browser to generate downloadable comutation plots, applying configurable visualization parameters (color palettes and numeric metadata labels) and handling files exceeding 200,000 rows locally without transmitting data to external servers.

Topics

Details

License:
MIT
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
JavaScript
Added:
2/23/2024
Last Updated:
2/23/2024

Operations

Publications

Duan Q, Wang W, Feng F, Jiang X, Chen H, Zhang D, Zhang T. Comut-viz: efficiently creating and browsing comutation plots online. BMC Bioinformatics. 2023;24(1). doi:10.1186/s12859-023-05351-8. PMID:37264324. PMCID:PMC10236844.

PMID: 37264324
Funding: - Shanghai Jiading District Health Commission: 2020-ZD-01 - Second Military Medical University: 2017JZ11

Links