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

Computational approaches to finding and analyzing cis-regulatory elements.

C Titus Brown1

  • 1Beckman Institute, Caltech, Pasadena, CA 91125, USA.

Methods in Cell Biology
|May 20, 2008
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

Interpretable learning algorithms enable pathogenic potential assessment and virulence-associated gene discovery of <i>Vibrio parahaemolyticus</i>.

Frontiers in microbiology·2026
Same author

An intronic variant in Ferredoxin Reductase (FDXR) creates a cryptic exon in Quarter Horses with Equine Juvenile Spinocerebellar Ataxia.

PLoS genetics·2026
Same author

Dietary iron and metal-based growth promoters differentially modulate the gut resistome and Escherichia coli virulome in weaned pigs.

Journal of animal science and biotechnology·2026
Same author

Dietary iron and metal-based growth differentially modulate growth and gut microbiome of weaned piglets.

Animal microbiome·2026
Same author

Comparison of short-read and long-read metagenome assemblies in a natural soil community highlights systematic bias in recovery of high-diversity populations.

NAR genomics and bioinformatics·2025
Same author

Comparative transcriptomic analysis of tumor- infiltrating canine natural killer cells and candidate biomarkers from first-in-dog NK immunotherapy trials.

Frontiers in immunology·2025
Same journal

Quantification of cell viability by automated analysis of live cell imaging.

Methods in cell biology·2026
Same journal

Flow cytometry evaluation of cytotoxicity exerted by effector immune cells against tumor cells.

Methods in cell biology·2026
Same journal

Time-lapse confocal laser scanning microscopy analysis of FOOD formation.

Methods in cell biology·2026
Same journal

Screening and identification of protein-protein interaction using proximity labeling.

Methods in cell biology·2026
Same journal

Quantitative high-content profiling of mitochondrial morphology with automated statistical analysis and integrated data visualization.

Methods in cell biology·2026
Same journal

Super-resolution imaging of cell death in Drosophila tissues via expansion and pan-expansion microscopy.

Methods in cell biology·2026
See all related articles

Computational methods help identify cis-regulatory elements controlling gene expression during development. This chapter details techniques for finding these crucial DNA regions, with a focus on chick development studies.

Area of Science:

  • Developmental Biology
  • Genomics
  • Bioinformatics

Background:

  • Gene transcription is regulated by specific DNA sequences called cis-regulatory elements.
  • These elements control gene expression in a tissue- and time-dependent manner during development.
  • Identifying these elements is crucial for understanding developmental processes.

Purpose of the Study:

  • To discuss computational approaches for identifying developmental cis-regulatory regions.
  • To provide a practical tutorial for applying these methods to chick development.
  • To enhance the understanding of gene regulation in developmental biology.

Main Methods:

  • Review of computational techniques for identifying cis-regulatory elements.
  • Focus on methods applicable to developmental gene regulation.

Related Experiment Videos

  • Tutorial format for practical application in chick development research.

    • Main Results:

    • Computational approaches are effective tools for discovering cis-regulatory regions.
    • The discussed methods facilitate the characterization of gene regulatory networks.
    • The tutorial offers a guide for researchers studying chick development.

    Conclusions:

    • Computational strategies are essential for identifying and characterizing cis-regulatory elements.
    • Understanding these elements is key to deciphering developmental gene regulation.
    • The presented methods and tutorial support research in developmental genomics.