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Updated: May 23, 2026
06:16
mirMachine: A One-Stop Shop for Plant miRNA Annotation
Published on: May 1, 2021
Semirna: searching for plant miRNAs using target sequences.
Antonio Muñoz-Mérida1, James R Perkins, Enrique Viguera
1Departamento de Arquitectura de Computadores, Universidad de Málaga, Spain.
Omics : a Journal of Integrative Biology
|March 22, 2012
Summary
Researchers can now easily predict plant microRNAs (miRNAs) using semirna, a new web tool. This tool aids in identifying functional genomic elements and understanding posttranscriptional regulation in plants.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Numerous plant genomes are available, necessitating identification of functional elements like microRNAs (miRNAs).
- MicroRNAs are crucial for posttranscriptional regulation, but computational prediction tools are limited.
- There is a need for user-friendly tools for laboratory researchers to predict plant miRNAs.
Purpose of the Study:
- To introduce semirna, a novel web server for predicting microRNAs in plant genomes.
- To provide a tool that facilitates the identification of functional genomic elements and regulatory pathways.
Main Methods:
- Semirna accepts messenger RNA (mRNA) sequences as input to search for targeting miRNAs.
- The tool enables validation of small RNA sequences from sequencing data as true miRNAs.
- Homology searches can be performed to find miRNAs in newly sequenced plant genomes.
Main Results:
- Semirna demonstrates high accuracy in predicting plant miRNAs across various test datasets.
- The web server offers adjustable parameters for flexible miRNA searching.
- The tool is user-friendly and intuitive for researchers.
Conclusions:
- Semirna is a valuable resource for researchers investigating plant miRNAs.
- The tool supports the discovery of miRNAs involved in specific pathways and in newly sequenced genomes.
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