Related Experiment Video

Updated: Sep 10, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

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ECSFinder: optimized prediction of evolutionarily conserved RNA secondary structures from genome sequences.

Vanda Gaonac'h-Lovejoy1,2,3, John S Mattick4,5, Martin Sauvageau1,3,6

  • 1Department of Biochemistry and Molecular Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada.

Nucleic Acids Research
|August 22, 2025
PubMed
Summary

Predicting conserved RNA secondary structures is key for understanding long noncoding RNA (lncRNA) function. A new machine learning tool, ECSFinder, integrates strengths of existing methods to improve accuracy in identifying these structures genome-wide.

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