Computational tools for plant small RNA detection and categorization

Lionel Morgado*, Frank Johannes

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    24 Citations (Scopus)
    278 Downloads (Pure)

    Abstract

    Small RNAs (sRNAs) are important short-length molecules with regulatory functions essential for plant development and plasticity. High-throughput sequencing of total sRNA populations has revealed that the largest share of sRNA remains uncategorized. To better understand the role of sRNA-mediated cellular regulation, it is necessary to create accurate and comprehensive catalogues of sRNA and their sequence features, a task that currently relies on nontrivial bioinformatic approaches. Although a large number of computational tools have been developed to predict features of sRNA sequences, these tools are mostly dedicated to microRNAs and none integrates the functionalities necessary to describe units from all sRNA pathways thus far discovered in plants. Here, we review the different classes of sRNA found in plants and describe available bioinformatics tools that can help in their detection and categorization.

    Original languageEnglish
    Pages (from-to)1181-1192
    Number of pages12
    JournalBriefings in Bioinformatics
    Volume20
    Issue number4
    Early online date20-Oct-2017
    DOIs
    Publication statusPublished - Jul-2019

    Keywords

    • small RNA categorization
    • sRNA structural features
    • sRNA function prediction
    • sRNA sequencing
    • NATURAL ANTISENSE TRANSCRIPTS
    • WEB SERVER
    • TARGET PREDICTION
    • DNA METHYLATION
    • MICRORNA
    • MIRNA
    • IDENTIFICATION
    • CLASSIFICATION
    • ARABIDOPSIS
    • SEQ

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