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

Multiple RNA structure alignment.

Zhuozhi Wang1, Kaizhong Zhang

  • 1Experimental Therapeutics, Research, University Heath Network, Toronto, Ontario, Canada. zwang@uhnres.utoronto.ca

Proceedings. IEEE Computational Systems Bioinformatics Conference
|February 2, 2006
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

Two cases of mosaic germline SVA insertions in SMARCB1: implications for rhabdoid tumour predisposition diagnosis.

NPJ genomic medicine·2026
Same author

Study on Ultrasonic Modification of CH<sub>4</sub>/CO<sub>2</sub> Competitive Adsorption Behavior in Coal: A Pore Wall Molecular Structure Perspective.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Micro-CT Three-Dimensional Digital Modeling and Seepage Simulation of Coal under Liquid Nitrogen Fracturing.

ACS omega·2026
Same author

Comprehensive Experimental and DFT Studies on the Effect of Sodium and Calcium on Heavy Metals Adsorption Performance by Quartz During Coal Combustion.

Molecules (Basel, Switzerland)·2025
Same author

GWAS SVatalog: a visualization tool to aid fine-mapping of GWAS loci with structural variations.

Heredity·2025
Same author

Investigation on Fuel Quality and Combustion Characteristics of Blended Fuel (Biomass and Lignite) Derived from Low-Temperature Co-Upgradation.

Molecules (Basel, Switzerland)·2025
Same journal

A Two-Step Approach for Clustering Proteins based on Protein Interaction Profile.

Proceedings. IEEE Computational Systems Bioinformatics Conference·2008
Same journal

Proceedings of 2005 IEEE Computational Systems Bioinformatics Conference. August 8-11, 2005. Stanford, California, USA.

Proceedings. IEEE Computational Systems Bioinformatics Conference·2007
Same journal

Fractal genomics modeling: a new approach to genomic analysis and biomarker discovery.

Proceedings. IEEE Computational Systems Bioinformatics Conference·2006
Same journal

Gene Ontology friendly biclustering of expression profiles.

Proceedings. IEEE Computational Systems Bioinformatics Conference·2006
Same journal

Comparative analysis of gene sets in the Gene Ontology space under the multiple hypothesis testing framework.

Proceedings. IEEE Computational Systems Bioinformatics Conference·2006
Same journal

AZuRE, a scalable system for automated term disambiguation of gene and protein names.

Proceedings. IEEE Computational Systems Bioinformatics Conference·2006
See all related articles

This study introduces two novel algorithms for aligning multiple RNA structures, a complex bioinformatics challenge. The research simplifies this by reducing it to a pairwise RNA structure alignment problem.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • RNA structures are complex, resembling strings with specific bonding patterns.
  • Aligning two RNA structures is a well-studied problem with existing algorithmic solutions.
  • Extending alignment to multiple RNA structures presents a significant computational challenge.

Purpose of the Study:

  • To develop novel algorithms for multiple RNA structure alignment.
  • To adapt existing models for pairwise RNA structure alignment to address multiple structures.
  • To provide efficient computational tools for analyzing sets of RNA molecules.

Main Methods:

  • Adopting the established model for RNA structure analysis from prior research [18].
  • Developing two distinct algorithms to tackle the multiple RNA structure alignment problem.

Related Experiment Videos

  • Reducing the complexity of multiple structure alignment to pairwise alignment of existing alignments.

    • Main Results:

    • Successful development of two new algorithms for multiple RNA structure alignment.
    • Demonstration of a method to transform multiple alignment into a pairwise alignment problem.
    • Foundation for more efficient analysis of large RNA datasets.

    Conclusions:

    • The proposed algorithms offer a viable approach to multiple RNA structure alignment.
    • The reduction strategy simplifies a complex problem, making it more computationally tractable.
    • This work contributes to the field of RNA bioinformatics by providing new analytical tools.