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miRCat2: accurate prediction of plant and animal microRNAs from next-generation sequencing datasets.

, , , , , , , , and . Bioinform., 33 (16): 2446-2454 (2017)

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Time Series Data Mining Algorithms for Identifying Short RNA in Arabidopsis thaliana., , , and . BIOCOMP, page 182-188. CSREA Press, (2008)miRCat2: accurate prediction of plant and animal microRNAs from next-generation sequencing datasets., , , , , , , , and . Bioinform., 33 (16): 2446-2454 (2017)Pfam: clans, web tools and services., , , , , , , , , and 3 other author(s). Nucleic Acids Res., 34 (Database-Issue): 247-251 (2006)A toolkit for analysing large-scale plant small RNA datasets., , , , , and . Bioinform., 24 (19): 2252-2253 (2008)The UEA sRNA Workbench (version 4.4): a comprehensive suite of tools for analyzing miRNAs and sRNAs., , , , , , , and . Bioinform., 34 (19): 3382-3384 (2018)Rfam: annotating non-coding RNAs in complete genomes., , , , , and . Nucleic Acids Res., 33 (Database-Issue): 121-124 (2005)A scoring matrix approach to detecting miRNA target sites., , and . Algorithms Mol. Biol., (2008)The Pfam protein families database., , , , , , , , , and 3 other author(s). Nucleic Acids Res., 32 (Database-Issue): 138-141 (2004)FilTar: using RNA-Seq data to improve microRNA target prediction accuracy in animals., and . Bioinform., 36 (8): 2410-2416 (2020)