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Comparative genomics beyond sequence-based alignments: RNA structures in the ENCODE regions.

Elfar Torarinsson1, Zizhen Yao, Eric D Wiklund

  • 1Section for Genetics and Bioinformatics, IBVH, Faculty of Life Sciences, University of Copenhagen, 1870 Frederiksberg C, Denmark.

Genome Research
|December 22, 2007
PubMed
Summary
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Structure-based methods reveal thousands of new non-coding RNA (ncRNA) candidates in vertebrate genomes. These findings highlight the importance of considering RNA secondary structure for accurate ncRNA discovery.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Traditional ncRNA discovery relies on sequence alignments, which struggle with low sequence similarity.
  • RNA secondary structure is a crucial evolutionary signal often missed by sequence-based methods.

Purpose of the Study:

  • To identify novel non-coding RNA (ncRNA) candidates in vertebrate ENCODE regions using a structure-oriented approach.
  • To evaluate the utility of structure-aware alignments compared to sequence-only alignments for ncRNA detection.

Main Methods:

  • Employed CMfinder, a structure-based local alignment tool, to analyze vertebrate multiple sequence alignments.
  • Searched ENCODE regions for potential RNA structures, focusing on compensating base changes.

Main Results:

Related Experiment Videos

  • Identified 6587 candidate ncRNA regions with an estimated 50% false-positive rate.
  • Found that structure-aware alignments significantly improved alignment quality for many candidates.
  • Discovered 32% more ncRNA candidates than previous sequence-alignment-based studies, with 84% being novel.

Conclusions:

  • RNA structure plays a critical role in identifying conserved non-coding RNAs (ncRNAs).
  • Structure-based searches significantly enhance ncRNA discovery, complementing sequence-based methods.
  • Future ncRNA identification efforts should prioritize direct consideration of RNA secondary structure.