Jove
Visualize
Contact Us

Related Experiment Videos

GPRM: A genetic programming approach to finding common RNA secondary structure elements.

Yuh-Jyh Hu1

  • 1Computer and Information Science Department, National Chiao Tung University, 1001 Ta Hsueh Rd, Hsinchu, Taiwan. yhu@cis.nctu.edu.tw

Nucleic Acids Research
|June 26, 2003
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

Application of machine learning for mortality prediction in patients with candidemia: Feasibility verification and comparison with clinical severity scores.

Mycoses·2023
Same author

Periprosthetic Joint Infection Prediction via Machine Learning: Comprehensible Personalized Decision Support for Diagnosis.

The Journal of arthroplasty·2021
Same author

Residue-Residue Interaction Prediction via Stacked Meta-Learning.

International journal of molecular sciences·2021
Same author

Application of Meta Learning to B-Cell Conformational Epitope Prediction.

Methods in molecular biology (Clifton, N.J.)·2020
Same author

Protein-protein interaction prediction using a hybrid feature representation and a stacked generalization scheme.

BMC bioinformatics·2019
Same author

Prediction of Patient-Controlled Analgesic Consumption: A Multimodel Regression Tree Approach.

IEEE journal of biomedical and health informatics·2017
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

This study introduces GPRM, a genetic programming method for identifying common RNA secondary structures in unaligned sequences. This computational approach aids in understanding RNA function through structural analysis.

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Computational Biology

Background:

  • RNA molecules are crucial for diverse biological functions.
  • Understanding RNA secondary structure is key to elucidating molecular function.
  • Traditional RNA structure determination relies on biochemical, biophysical, and phylogenetic methods.

Purpose of the Study:

  • To present GPRM, a genetic programming approach for RNA secondary structure analysis.
  • To identify common secondary structure elements in unaligned, coregulated, or homologous RNA sequences.
  • To provide a computational tool for enhancing RNA structure determination.

Main Methods:

  • Utilizes genetic programming (GPRM) as a computational approach.
  • Focuses on analyzing sets of unaligned coregulated or homologous RNA sequences.

Related Experiment Videos

  • Aims to find common secondary structure elements within these sequences.

    • Main Results:

    • Demonstrates the application of GPRM for identifying conserved RNA secondary structures.
    • Highlights the capability of computational methods in RNA structure determination.
    • Provides access to the GPRM tool for researchers.

    Conclusions:

    • GPRM offers an effective computational strategy for discovering common RNA secondary structures.
    • This approach complements traditional methods for RNA structure analysis.
    • Accurate RNA secondary structure prediction is vital for understanding biological roles.