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Updated: Feb 17, 2026

mirMachine: A One-Stop Shop for Plant miRNA Annotation

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Published on: May 1, 2021

Computational miRNomics.

Jens Allmer¹, Malik Yousef¹

¹.

Journal of Integrative Bioinformatics

|December 8, 2017

Summary

This summary is machine-generated.

Computational miRNomics research is rapidly advancing, with numerous studies focusing on microRNA (miRNA) detection and analysis. This special issue explores machine learning for pre-miRNA detection and differential expression analysis, highlighting key advancements in the field.

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Published on: May 18, 2021

Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

MicroRNA (miRNA) research is rapidly expanding, with a significant increase in publications.
Experimental detection and functional inference of miRNAs are challenging due to time constraints and co-expression requirements.
Computational approaches, termed miRNomics, are increasingly complementing experimental methods.

Purpose of the Study:

To provide a state-of-the-art assessment of computational miRNomics.
To cover diverse areas from pre-miRNA detection to biological implications.
To bridge the gap between computational methods and experimental validation.

Main Methods:

Machine learning approaches for pre-miRNA detection.
Feature selection for miRNA analysis.
Modeling miRNA genesis and targeting kinetics.
Quantification of miRNAs and non-coding short RNAs.
Differential expression analysis of miRNAs.

Main Results:

Machine learning effectively aids in virus pre-miRNA detection.
Methods for selecting relevant miRNA features are discussed.
Computational models are being developed to understand miRNA life cycle and function.
Techniques for accurate miRNA quantification are presented.
Biological implications of differentially expressed miRNAs are explored.

Conclusions:

This special issue offers a comprehensive overview of computational miRNomics.
It covers the spectrum from miRNA detection to their biological significance.
It sets the stage for future research in the upcoming second volume.