Mining diverse small RNA species in the deep transcriptome
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Updated: Apr 20, 2026
A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants
Published on: January 21, 2020
Kasey C Vickers1, Leslie A Roteta1, Holli Hucheson-Dilks2
1Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
Abstract:
Transcriptomes of many species are proving to be exquisitely diverse, and many investigators are now using high-throughput sequencing to quantify non-protein-coding RNAs, namely small RNAs (sRNA). Unfortunately, most studies are focused solely on microRNA changes, and many investigators are not analyzing the full compendium of sRNA species present in their large datasets. We provide here a rationale to include all types of sRNAs in sRNA sequencing analyses, which will aid in the discovery of their biological functions and physiological relevance.
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