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Updated: Jan 26, 2026
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A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants
Published on: January 21, 2020
8.8K
Automatic curation of large comparative animal MicroRNA datasets
Ali M Yazbeck1,2,3, Peter F Stadler1,4,5,6,7,8, Kifah Tout2
1Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, D-04107 Leipzig, Germany.
Bioinformatics (Oxford, England)
|April 18, 2019
Summary
MIRfix is a new workflow that automatically curates microRNA (miRNA) datasets. It improves precursor alignments and annotation consistency, enabling better quantitative evolutionary analyses of miRNAs.
Area of Science:
- Bioinformatics
- Genomics
- Molecular Biology
Background:
- MicroRNAs (miRNAs) are crucial RNA regulators with extensive study.
- Databases like miRBase and Rfam offer miRNA information but lack complete and consistent coverage.
- Inconsistent data hinders quantitative studies of miRNA evolution.
Purpose of the Study:
- To present MIRfix, a workflow for automated miRNA dataset curation.
- To enhance precursor alignments, mature miRNA/miRNA* annotation consistency, and phylogenetic coverage.
- To facilitate improved homology searches and quantitative evolutionary analyses of miRNAs.
Main Methods:
- Development of the MIRfix workflow and its software implementation.
- Automated curation of miRNA precursor alignments.
- Standardization of mature miRNA and miRNA* sequence annotation.
Main Results:
- MIRfix produces consistently aligned miRNA datasets across families.
- Improved phylogenetic coverage of miRNA families.
- Enables more robust homology searches and quantitative evolutionary analyses.
Conclusions:
- MIRfix addresses limitations in current miRNA databases.
- The workflow standardizes miRNA data for enhanced downstream analyses.
- Facilitates more accurate and comprehensive studies of miRNA evolution.
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