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Related Experiment Video

Updated: Nov 1, 2025

A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

NORMA: The Network Makeup Artist - A Web Tool for Network Annotation Visualization.

Mikaela Koutrouli¹, Evangelos Karatzas², Katerina Papanikolopoulou¹

¹Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari 16672, Greece.

Genomics, Proteomics & Bioinformatics

|June 25, 2021

Summary

This summary is machine-generated.

The Network Makeup Artist (NORMA) tool offers interactive network visualization and analysis. It helps researchers integrate and explore network data with annotations for better biological insights.

Keywords:

Community detection Functional enrichment visualization Network annotation Topological analysis Visualization

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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Area of Science:

Bioinformatics
Computational Biology
Network Science

Background:

Network analysis is crucial for understanding complex biological systems.
Visualizing and annotating large networks presents significant challenges.
Existing tools often lack integrated annotation and topological analysis capabilities.

Purpose of the Study:

To introduce the Network Makeup Artist (NORMA), a web tool for interactive network annotation, visualization, and topological analysis.
To provide a platform for simultaneous handling of multiple networks and annotations.
To facilitate the generation of publication-ready figures from network data.

Main Methods:

NORMA accepts precalculated annotations (e.g., Gene Ontology, pathway enrichment, community detection) for visualization.
Nodes can be represented as colored pie charts or within Venn-diagram-like structures.
Automated community detection algorithms are available for unannotated networks.
Interactive selection and highlighting of network groups are supported.
Basic topological analysis and comparison across networks are offered.

Main Results:

NORMA enables simultaneous encoding of network structure, annotations, and node attributes.
The tool supports interactive adjustment of network views for improved group separation.
Users can generate publication-ready figures by selecting and highlighting groups of interest.
NORMA handles multiple networks and annotations efficiently.

Conclusions:

NORMA provides a comprehensive solution for interactive network annotation, visualization, and analysis.
The tool enhances the exploration of complex biological networks by integrating diverse data types.
NORMA facilitates the creation of high-quality figures for scientific publications.