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Related Experiment Video

Updated: Jul 15, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
07:55

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

An algorithm for searching RNA motifs in genomic sequences.

Jingping Liu1, Bin Ma, Kaizhong Zhang

  • 1Department of Computer Science, University of Western Ontario, London, Ontario, Canada. jliu36@csd.uwo.ca

Biomolecular Engineering
|May 8, 2007
PubMed
Summary

This study introduces a novel computational method to efficiently identify functional RNA structures within genomic sequences. The approach aids in understanding RNA-based gene regulation by locating RNA secondary structures similar to known motifs.

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Last Updated: Jul 15, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
07:55

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Published on: May 31, 2011

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
11:34

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Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
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Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

Published on: September 28, 2017

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Molecular Biology

Background:

  • RNA molecules fold into specific structures essential for their diverse cellular functions.
  • These structures are often composed of fundamental RNA motifs, dictating RNA class and properties.
  • Identifying functional RNAs computationally is crucial for understanding gene regulation.

Purpose of the Study:

  • To develop an efficient method for detecting RNA secondary structures within genomic sequences.
  • To identify candidate genomic segments that potentially form RNA structures similar to a given RNA sequence and its known secondary structure.

Main Methods:

  • A novel bottom-up computational approach is employed.
  • The method first identifies potential stem-loops homologous to those in a query RNA structure.
  • Subsequently, it uses these located stem-loops to detect potential homologous structural RNAs in genomic sequences.

Main Results:

  • The study presents an efficient algorithm for searching RNA secondary structures in large genomic datasets.
  • The approach successfully identifies candidate RNA segments with structural similarities to known functional RNAs.

Conclusions:

  • The developed method provides an effective tool for discovering functional RNAs and their homologues in genomic sequences.
  • This facilitates a deeper understanding of RNA-based gene regulation mechanisms.