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Updated: Apr 22, 2026

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
Published on: October 21, 2022
In silico identification of novel endo-siRNAs
Andrew Schuster1, Grant W Hennig, Nicole Ortogero
1Department of Physiology and Cell Biology, University of Nevada School of Medicine, MS575, 1664 North Virginia Street, Reno, NV, 89557, USA.
Abstract:
Many classes of small noncoding RNAs (sncRNAs), such as microRNAs (miRNAs) and endogenous small interfering RNAs (endo-siRNAs), have been identified as important regulators of gene expression. Endo-siRNAs represent an integral part of the endogenous RNAi pathway and have been identified in multiple organisms and cell types. Wide adoption of the next-generation deep sequencing (NGS)-based sncRNA profiling has made the identification of novel sncRNA species more accessible. However, it remains a challenge to identify novel endo-siRNAs that are not collected in the current endo-siRNA databases. We have developed an in silico method for identification of novel endo-siRNAs using small RNA NGS data. Here, we describe our protocol in detail.
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