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Updated: May 12, 2026

AQRNA-seq for Quantifying Small RNAs

AQRNA-seq for Quantifying Small RNAs

Published on: February 2, 2024

ShortStack: comprehensive annotation and quantification of small RNA genes.

Michael J Axtell¹

¹Department of Biology, and Huck Institutes of the Life Sciences, Penn State University, University Park, Pennsylvania 16802, USA. mja18@psu.edu

RNA (New York, N.Y.)

|April 24, 2013

Summary

ShortStack is a new tool for analyzing small RNA sequencing data. It accurately annotates and quantifies diverse small RNA genes, including microRNA loci, across various species.

Keywords:

bioinformatics microRNA next-generation sequencing siRNA small RNA software

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AQRNA-seq for Quantifying Small RNAs

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Published on: February 2, 2024

Highly Efficient Ligation of Small RNA Molecules for MicroRNA Quantitation by High-Throughput Sequencing

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Published on: November 18, 2014

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Small RNA sequencing (sRNA-seq) is crucial for discovering regulatory small RNAs.
Existing tools primarily focus on microRNA (miRNA) annotation, often overlooking other small RNA gene classes.
Comprehensive analysis of diverse small RNA genes remains a challenge.

Purpose of the Study:

To introduce ShortStack, a novel application for de novo annotation and quantification of small RNA genes from sRNA-seq data.
To evaluate ShortStack's performance in accurately identifying and characterizing various small RNA genes.
To demonstrate ShortStack's utility across diverse plant and animal species.

Main Methods:

ShortStack analyzes reference-aligned sRNA-seq data.
It performs comprehensive de novo annotation and quantification of small RNA genes.
Key parameters like RNA size, repetitiveness, strandedness, hairpin association, miRNA annotation, and phasing are reported.

Main Results:

ShortStack accurately annotates and describes diverse small RNA genes in plants (Arabidopsis, tomato, rice, maize) and animals (Drosophila, mice, humans).
The tool efficiently processes large sRNA-seq datasets with modest computational resources.
ShortStack demonstrates highly specific annotation of miRNA loci in both plants and animals, outperforming existing tools.

Conclusions:

ShortStack provides a robust and efficient solution for comprehensive small RNA gene discovery and annotation.
Its ability to analyze diverse small RNA classes beyond miRNAs makes it a valuable tool for sRNA-seq research.
ShortStack is freely available, promoting wider adoption in genomic and transcriptomic studies.