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Updated: May 6, 2026

Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs
Published on: September 16, 2019
Identification and annotation of small RNA genes using ShortStack
Saima Shahid1, Michael J Axtell1
1Plant Biology Ph.D. Program, Huck Institutes of the Life Sciences, Penn State University, University Park, PA 16802, USA; Department of Biology, Penn State University, University Park, PA 16802, USA.
Abstract:
Highly parallel sequencing of cDNA derived from endogenous small RNAs (small RNA-seq) is a key method that has accelerated understanding of regulatory small RNAs in eukaryotes. Eukaryotic regulatory small RNAs, which include microRNAs (miRNAs), short interfering RNAs (siRNAs), and Piwi-associated RNAs (piRNAs), typically derive from the processing of longer precursor RNAs. Alignment of small RNA-seq data to a reference genome allows the inference of the longer precursor and thus the annotation of small RNA producing genes. ShortStack is a program that was developed to comprehensively analyze reference-aligned small RNA-seq data, and output detailed and useful annotations of the causal small RNA-producing genes. Here, we provide a step-by-step tutorial of ShortStack usage with the goal of introducing new users to the software and pointing out some common pitfalls.
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