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

More than just 'doing the math'.

Michael Eisenstein

    Nature Methods
    |June 15, 2006
    PubMed
    Summary
    This summary is machine-generated.

    Computational tools are advancing beyond basic sequence analysis. New articles highlight their use in prediction, deduction, and building complex biological networks.

    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

    An innovative technology boosts image quality for protein structures.

    Nature·2026
    Same author

    'Virtual cells' aim to turn raw data into predictive models of biology.

    Nature·2026
    Same author

    A 3D-Printed Scaffolded Hydrogel Microneedle Array Biosensor for Real-Time, Continuous Monitoring.

    Advanced materials (Deerfield Beach, Fla.)·2026
    Same author

    Continuous monitoring of blood-interstitial fluid intercompartmental molecular kinetics in freely moving animals.

    Science advances·2026
    Same author

    Powerful tools are revealing the 'control knobs' of the genome.

    Nature·2026
    Same author

    Time-Gated Fluorescent Aptamer Sensors Eliminate Autofluorescence during Continuous Molecular Detection in Complex Biological Matrices.

    ACS sensors·2026

    Area of Science:

    • Bioinformatics and computational biology.

    Background:

    • Traditional bioinformatics primarily focused on sequence analysis.
    • There is a growing need for advanced computational approaches in biological research.

    Purpose of the Study:

    • To showcase the evolution of computational tools in biology.
    • To highlight the application of these tools in prediction, deduction, and network building.

    Main Methods:

    • Review of recent articles demonstrating advanced computational techniques.
    • Analysis of how computational tools are applied beyond sequence analysis.

    Main Results:

    • Computational tools are increasingly used for predictive modeling in biological systems.
    • These tools facilitate deductive reasoning and the construction of complex biological networks.

    Related Experiment Videos

  • The scope of bioinformatics has expanded significantly.
  • Conclusions:

    • Computational tools are essential for modern biological discovery.
    • The integration of advanced computational methods is transforming biological research.