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

Codon preference and its use in identifying protein coding regions in long DNA sequences

R Staden, A D McLachlan

    Nucleic Acids Research
    |January 11, 1982
    PubMed
    Summary

    This study introduces a computational method leveraging codon preference to identify protein-coding regions within DNA sequences. The approach effectively differentiates introns from exons and aids in detecting sequencing errors.

    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

    Equine abortion due to Chlamydia psittaci in South Australia with zoonotic transmission.

    Australian veterinary journal·2025
    Same author

    The first reported case of equine Nocardioform placentitis in New Zealand.

    New Zealand veterinary journal·2015
    Same author

    Temperature dependence of the extinction coefficient of fused silica for CO(2) laser wavelengths.

    Applied optics·2010
    Same author

    Error considerations in the design of a two-layer antireflection coating.

    Applied optics·2010
    Same author

    Two-layer low-absorption antireflection coating for KCl.

    Applied optics·2010
    Same author

    Deterioration in optical materials as a result of ultrasonic cleaning.

    Applied optics·2010

    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Genomics

    Background:

    • Identifying protein-coding regions in DNA is crucial for understanding gene function.
    • Distinguishing exons from introns is a fundamental challenge in genome annotation.

    Purpose of the Study:

    • To present a novel computational method for identifying protein-coding regions in DNA sequences.
    • To utilize codon usage bias as a primary feature for gene prediction.
    • To assess the method's capability in differentiating coding sequences from non-coding regions and detecting errors.

    Main Methods:

    • Development of a computer algorithm based on codon preference analysis.
    • Application of the method to long DNA sequences.
    • Evaluation of the algorithm's performance in distinguishing coding regions (exons) from non-coding regions (introns).

    Related Experiment Videos

    Main Results:

    • The developed method successfully identifies protein-coding regions in DNA.
    • The approach demonstrates efficacy in distinguishing between introns and exons.
    • The method shows potential for detecting sequencing errors within DNA data.

    Conclusions:

    • Codon preference is a reliable indicator for identifying protein-coding regions.
    • This computational method offers a valuable tool for genome annotation and analysis.
    • The approach can improve the accuracy of DNA sequence data by identifying potential errors.