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Related Experiment Video

Updated: Dec 21, 2025

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BIOMEX: an interactive workflow for (single cell) omics data interpretation and visualization.

Federico Taverna1, Jermaine Goveia1, Tobias K Karakach1

  • 1Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology and Leuven Cancer Institute (LKI), KU Leuven, VIB Center for Cancer Biology, Leuven 3000, Belgium.

Nucleic Acids Research
|May 12, 2020
PubMed
Summary
This summary is machine-generated.

BIOMEX is a new software tool that helps scientists analyze complex biological data from multiple omics experiments. This user-friendly platform supports various data types, making multi-omics data interpretation accessible to researchers without bioinformatics expertise.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics
  • Proteomics
  • Metabolomics

Background:

  • The rapid increase in biological data from omics technologies creates analysis bottlenecks.
  • Experimental scientists often lack the bioinformatics expertise to interpret complex datasets.
  • Accessible tools are needed to facilitate the analysis of multi-omics experiments.

Purpose of the Study:

  • To present BIOMEX, a browser-based software designed for the biological interpretation of multi-omics experiments.
  • To provide bench scientists with a tool to analyze diverse omics data without extensive bioinformatics training.
  • To facilitate the exploration of both newly generated and publicly available omics datasets.

Main Methods:

  • BIOMEX integrates statistical tools and algorithms into a flexible workflow.
  • The software supports various data types including metabolomics, transcriptomics, proteomics, mass cytometry, and single-cell data.
  • It guides users through omics-tailored analyses like normalization, dimensionality reduction, differential analysis, and pathway mapping.

Main Results:

  • BIOMEX offers an interactive interface for easy parameter adjustment and customized plot generation.
  • The platform accommodates data from different platforms and organisms.
  • It provides publication-ready figures for enhanced data visualization.

Conclusions:

  • BIOMEX empowers bench scientists to perform complex multi-omics data analysis.
  • The software democratizes access to sophisticated omics data interpretation.
  • BIOMEX is an open-source tool available to the scientific community.