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

Knowledge-based simulation of genetic regulation in bacteriophage lambda.

S Meyers, P Friedland

    Nucleic Acids Research
    |January 11, 1984
    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

    93 Zeta potential of equine sperm and its association with sperm quality.

    Reproduction, fertility, and development·2022
    Same author

    146 Transcriptome characterisation of equine oocyte maturation.

    Reproduction, fertility, and development·2022
    Same author

    Equine non-invasive time-lapse imaging and blastocyst development.

    Reproduction, fertility, and development·2019
    Same author

    Eosinophilic oesophagitis: an otolaryngologist's perspective.

    British journal of hospital medicine (London, England : 2005)·2017
    Same author

    Gold nanostar substrates for SERS-based chemical sensing in the femtomolar regime.

    Nanoscale·2014
    Same author

    Bilateral sudden sensorineural hearing loss: review.

    The Journal of laryngology and otology·2013

    This study introduces a knowledge-based computer program for simulating regulatory genetics. The tool accurately models the Bacteriophage Lambda

    Area of Science:

    • Computational Biology
    • Genetics
    • Bioinformatics

    Background:

    • Regulatory genetics governs gene expression.
    • Simulating complex genetic networks is crucial for understanding biological systems.
    • Existing simulation tools may lack flexibility or knowledge-based reasoning.

    Purpose of the Study:

    • To develop a general-purpose, knowledge-based computer program for functional simulation of regulatory genetics.
    • To describe the simulator's architecture and advantages of its knowledge-based design.
    • To evaluate the simulator's performance using a specific biological case study.

    Main Methods:

    • Developed a knowledge-based simulator using the Unit System for knowledge acquisition, representation, and manipulation.
    • Designed a hierarchical knowledge structure for the simulation.

    Related Experiment Videos

  • Applied the simulator to model the decision-making process in Bacteriophage Lambda's lytic and lysogenic growth.

    • Main Results:

    • The developed simulator is knowledge-based and utilizes a hierarchical structure.
    • The Unit System facilitates efficient knowledge management.
    • The simulator successfully modeled the Bacteriophage Lambda growth decision.

    Conclusions:

    • A versatile, knowledge-based simulation program for regulatory genetics has been created.
    • The simulator's architecture supports efficient and accurate modeling of genetic regulatory networks.
    • This tool provides a valuable platform for studying genetic control mechanisms, exemplified by Bacteriophage Lambda.