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Related Experiment Video

Updated: Jun 28, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

MINOMICS: visualizing prokaryote transcriptomics and proteomics data in a genomic context.

Rutger W W Brouwer¹, Sacha A F T van Hijum, Oscar P Kuipers

¹Department of Molecular Genetics Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Kerklaan 30, 9751 NN, Haren, The Netherlands.

Bioinformatics (Oxford, England)

|November 15, 2008

Summary

This summary is machine-generated.

MINOMICS is a new tool for visualizing prokaryotic transcriptomic and proteomic data alongside genomics. It generates interactive genome maps displaying experimental datasets and genetic information for deeper biological insights.

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Published on: August 15, 2019

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Area of Science:

Microbiology
Bioinformatics
Genomics

Background:

Prokaryotic gene expression analysis requires integration of multiple data types.
Existing tools may lack comprehensive visualization capabilities for transcriptomic, proteomic, and genomic data.

Purpose of the Study:

To develop and present MINOMICS, a novel tool for integrated visualization of prokaryotic data.
To facilitate in-depth analysis of transcriptomic and proteomic datasets in the context of genomic information.

Main Methods:

Development of MINOMICS software.
Integration of transcriptomic, proteomic, and genomic data visualization.
Generation of interactive linear genome maps.

Main Results:

MINOMICS enables facile and in-depth visualization of diverse prokaryotic datasets.
Interactive genome maps display experimental data alongside operon, regulatory motif, promoter, and terminator information.
The tool provides a unified view for comprehensive data interpretation.

Conclusions:

MINOMICS enhances the analysis of prokaryotic gene expression and regulation.
The tool offers a valuable resource for researchers studying prokaryotic systems.
MINOMICS promotes a deeper understanding of prokaryotic biology through integrated data visualization.