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Updated: Jun 19, 2026
09:45
An Oligonucleotide-based Tandem RNA Isolation Procedure to Recover Eukaryotic mRNA-Protein Complexes
Published on: August 18, 2018
The tedious task of finding homologous noncoding RNA genes
Peter Menzel1, Jan Gorodkin, Peter F Stadler
1Section for Genetics and Bioinformatics, IBHV, and Center for Applied Bioinformatics, University of Copenhagen, DK-1870 Frederiksberg, Denmark.
RNA (New York, N.Y.)
|October 29, 2009
Summary
RNA homology search remains challenging for users due to tool limitations and reliance on curated structural alignments. BLAST often outperforms other methods unless expert knowledge is applied.
Area of Science:
- Computational Biology
- Bioinformatics
- Molecular Biology
Background:
- In silico RNA homology search is complex, hindered by computational tool precision and cost.
- Accurate RNA homology detection heavily relies on curated secondary structural alignments, which are difficult to obtain.
- Manual curation of RNA structural alignments is labor-intensive and often undervalued.
Purpose of the Study:
- To assess the practical feasibility and outcomes of user-driven in silico RNA homology searches for nonexperts.
- To evaluate the effectiveness of current computational tools compared to established methods like BLAST.
- To identify challenges and potential improvements in identifying remote RNA homologs.
Main Methods:
- Qualitative description of a realistic scenario for regular users performing RNA homology searches.
- Comparison of various computational tools against BLAST, considering the impact of expert knowledge.
- Analysis of the role of curated structural data in enhancing homology detection.
Main Results:
- BLAST remains a competitive or superior tool for RNA homology search unless specific RNA family expertise is incorporated.
- Advanced computational methods show improvements in detecting remote homologs when high-quality curated data are available.
- User-driven homology searches beyond BLAST capabilities are not yet routine for general users.
Conclusions:
- The practical utility of advanced in silico RNA homology search tools is limited for nonexperts without significant manual curation or domain expertise.
- Improvements in homology detection are contingent on the availability and quality of curated structural RNA data.
- Further development is needed to make sophisticated RNA homology searches more accessible and routine.
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