Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Network analysis of systems elements.

Daniel Schöner1, Simon Barkow, Stefan Bleuler

  • 1Plant Biotechnology, Institute of Plant Sciences, Rämistr 2, Swiss Federal Institute of Technology, 8092 Zürich, Switzerland.

EXS
|April 17, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Genetic technologies to enhance crop nutritional value under climate change.

Nature·2026
Same author

A framework and analytical exploration for a data-driven update of the Sequential Organ Failure Assessment (SOFA) score in sepsis.

Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine·2025
Same author

Steps to Facilitate the Use of Clinical Gait Analysis in Stroke Patients: The Validation of a Single 2D RGB Smartphone Video-Based System for Gait Analysis.

Sensors (Basel, Switzerland)·2024
Same author

AI-empowered perturbation proteomics for complex biological systems.

Cell genomics·2024
Same author

RNA-Binding Proteins as Novel Effectors in Osteoblasts and Osteoclasts: A Systems Biology Approach to Dissect the Transcriptional Landscape.

International journal of molecular sciences·2024
Same author

AI-smartphone markerless motion capturing of hip, knee, and ankle joint kinematics during countermovement jumps.

European journal of sport science·2024
Same journal

Forensic toxicology.

EXS·2010
Same journal

Biological warfare agents.

EXS·2010
Same journal

Chemical warfare agents.

EXS·2010
Same journal

Drugs of abuse: management of intoxication and antidotes.

EXS·2010
Same journal

Biological testing for drugs of abuse.

EXS·2010
Same journal

Inhalation toxicology.

EXS·2010
See all related articles

This study introduces network analysis for understanding gene function and interactions using gene expression data. It explores methods for identifying co-regulated genes and inferring network topology, applied to the Arabidopsis thaliana isoprenoid pathway.

Area of Science:

  • Genomics
  • Systems Biology
  • Bioinformatics

Background:

  • Post-genomic research aims to functionally characterize all genes.
  • Identifying gene interactions is crucial for understanding cellular processes.
  • Prior knowledge for predicting gene interactions is often limited or biased.

Purpose of the Study:

  • To introduce network analysis for gene function and interaction studies.
  • To explore systematic approaches for mapping gene dependencies at a systems scale.
  • To illustrate network analysis concepts using gene expression data.

Main Methods:

  • Overview of methods for identifying co-regulated genes.
  • Discussion of topology inference for gene networks.
  • Presentation of a specific network inference method.

Related Experiment Videos

  • Application of network analysis techniques to the Arabidopsis thaliana isoprenoid pathway.

    • Main Results:

    • Demonstration of network analysis for gene expression data.
    • Illustration of co-regulated gene identification and topology inference.
    • Successful application to a specific biological pathway.

    Conclusions:

    • Network analysis provides a systematic approach to explore gene interactions and functions.
    • High-throughput data and computational methods enable large-scale analysis of gene dependencies.
    • This approach is valuable for understanding complex biological systems like metabolic pathways.