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Related Concept Videos

Overview of Metabolism01:40

Overview of Metabolism

Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
Introduction to Metabolism01:30

Introduction to Metabolism

Metabolism encompasses all biochemical reactions in a living organism, facilitating both the breakdown and synthesis of biomolecules. These metabolic processes are categorized into catabolic and anabolic pathways, which operate in a coordinated manner to ensure energy balance and cellular function.Catabolic Pathways and Energy ReleaseCatabolic pathways involve the breakdown of complex macromolecules such as carbohydrates, lipids, and proteins into smaller structures like monosaccharides, fatty...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

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Related Experiment Video

Updated: Jun 2, 2026

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
07:11

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

Published on: November 10, 2023

Visualizing multi-omics data in metabolic networks with the software Omix: a case study.

Peter Droste1, Stephan Miebach, Sebastian Niedenführ

  • 1Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Germany.

Bio Systems
|May 18, 2011
PubMed
Summary
This summary is machine-generated.

Omix software visualizes complex biological data within biochemical networks using its scripting language, OVL. This enables flexible and adaptable data representation for interdisciplinary research, enhancing communication between experimental and theoretical scientists.

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CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
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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:

  • Systems Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Understanding complex intracellular processes requires analyzing biochemical networks.
  • Increasing experimental and simulation data necessitates effective visualization tools.
  • Current visualization methods may lack flexibility for diverse data types.

Purpose of the Study:

  • To introduce Omix, a software for visualizing data in biochemical networks.
  • To highlight the programmable nature of Omix using the Omix Visualization Language (OVL).
  • To demonstrate the adaptability and flexibility of Omix for various data visualization needs.

Main Methods:

  • Utilizing Omix software for data visualization.
  • Employing the Omix Visualization Language (OVL) for script-based visualization control.
  • Applying Omix and OVL to visualize diverse data types in metabolic networks through case studies.

Main Results:

  • Omix provides a flexible platform for visualizing experimental and simulation data.
  • OVL scripting allows users to customize data representation within biochemical networks.
  • Four case studies showcase successful visualization of diverse data on a metabolic level.

Conclusions:

  • Omix and OVL offer a powerful and adaptable solution for biological data visualization.
  • The software facilitates interdisciplinary communication by providing clear data representations.
  • Customizable visualization enhances the integration of experimental and theoretical research in Systems Biology.