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

Reconstructing chain functions in genetic networks.

I Gat-Viks1, R Shamir, R M Karp

  • 1School of Computer Science, Tel-Aviv University, Tel-Aviv 69978, Israel. iritg@tau.ac.il

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|March 3, 2004
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

A reference model of circulating hematopoietic stem cells across the lifespan with applications to diagnostics.

Nature medicine·2025
Same author

Symptoms and management of cow's milk allergy: perception and evidence.

Frontiers in allergy·2024
Same author

Circadian clock gene disruption in white blood cells of patients with celiac disease.

Biochimie·2023
Same author

Pedi-R-MAPP: The development of a nutritional awareness tool for use in remote paediatric consultations using a modified Delphi consensus.

Clinical nutrition (Edinburgh, Scotland)·2022
Same author

Feasibility of a truncated surveillance schedule for patients following curative intent treatment for carcinoma of the oral cavity.

International journal of oral and maxillofacial surgery·2021
Same author

ANAT 3.0: a framework for elucidating functional protein subnetworks using graph-theoretic and machine learning approaches.

BMC bioinformatics·2021
Same journal

Trust, Reproducibility, and Progress: The Roles of Independent Blind Prediction and Assessment and Benchmarking in Computational Biology.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

The Evolving Cyberinfrastructure at the National Institutes of Health to Support Data and AI in Biomedical Research.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Applications of AI & ML in Biomanufacturing of Cell and Gene Therapies.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

AI for Health: Leveraging Artificial Intelligence to Revolutionize Healthcare.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Workshop Introduction: Advances of AI Methods in Single Cell Spatial Omics.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

DRIVE-KG: Enhancing variant-phenotype association discovery in understudied complex diseases using heterogeneous knowledge graphs.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
See all related articles

This study introduces chain functions to model gene regulation, reducing complexity in molecular biology. Researchers developed efficient methods to reconstruct these regulatory networks using minimal gene perturbation experiments.

Area of Science:

  • Molecular Biology
  • Systems Biology
  • Computational Biology

Background:

  • Gene expression control is crucial but complex due to numerous regulatory interactions.
  • Limited experimental data hinders comprehensive understanding of cellular regulatory networks.
  • Chain functions offer a simplified model for complex pathways like signal transduction.

Purpose of the Study:

  • To develop computational methods for reconstructing gene regulatory networks using chain functions.
  • To minimize the number of experiments required for accurate network reconstruction.
  • To apply these methods to understand galactose utilization regulation in yeast.

Main Methods:

  • Investigated the computational problem of reconstructing chain functions.
  • Designed optimal reconstruction schemes for various scenarios.

Related Experiment Videos

  • Utilized gene perturbation experiments to validate the approach.

    • Main Results:

    • Developed efficient algorithms for reconstructing gene regulatory networks modeled by chain functions.
    • Demonstrated that a minimal number of gene perturbations can suffice for reconstruction.
    • Successfully applied the method to map the galactose utilization pathway in yeast.

    Conclusions:

    • Chain functions provide a powerful framework for modeling gene regulation.
    • The proposed computational approach enables efficient and data-driven reconstruction of regulatory networks.
    • This work offers insights into biological pathways and facilitates further systems biology research.