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Updated: Apr 14, 2026

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GRACOMICS: software for graphical comparison of multiple results with omics data.

Minseok Seo1, Joon Yoon2, Taesung Park3,4

  • 1Interdiciplinary of Bioinformatics Program, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, Korea. nijorral@gmail.com.

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Summary

GRACOMICS is a new tool that visually compares omics data analysis results. It helps researchers easily identify candidate genes from complex, high-dimensional datasets for further validation.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Analyzing high-dimensional omics data presents significant challenges.
  • Existing analysis methods often yield disparate results, complicating interpretation.
  • There is a need for systematic tools to compare and visualize omics data analysis outcomes.

Purpose of the Study:

  • To introduce GRACOMICS, a novel tool for the visual comparison of multiple omics data analysis results.
  • To enable researchers to systematically interpret complex omics data and identify candidate genes.

Main Methods:

  • Developed GRACOMICS, a Java-based graphical user interface (GUI) program.
  • Implemented interactive visualization of multiple analysis results, including plots and tables.
  • Ensured compatibility with cross-platform computing environments.

Main Results:

  • GRACOMICS provides instantaneous, user-defined threshold-based results.
  • Successfully applied to transcriptomic (microarray, RNA-seq) and genomic (SNP chip, NGS) data.
  • Demonstrated ability to visualize and compare results from diverse omics data types.

Conclusions:

  • GRACOMICS facilitates the identification of genes commonly found across multiple statistical methods.
  • The tool aids biologists in selecting genes for experimental validation.
  • Offers a user-friendly approach to managing and interpreting large-scale omics data analysis.