miRDeep-P: a computational tool for analyzing the microRNA transcriptome in plants

Bioinformatics. 2011 Sep 15;27(18):2614-5. doi: 10.1093/bioinformatics/btr430. Epub 2011 Jul 19.


Motivation: Ultra-deep sampling of small RNA libraries by next-generation sequencing has provided rich information on the microRNA (miRNA) transcriptome of various plant species. However, few computational tools have been developed to effectively deconvolute the complex information.

Results: We sought to employ the signature distribution of small RNA reads along the miRNA precursor as a model in plants to profile expression of known miRNA genes and to identify novel ones. A freely available package, miRDeep-P, was developed by modifying miRDeep, which is based on a probabilistic model of miRNA biogenesis in animals, with a plant-specific scoring system and filtering criteria. We have tested miRDeep-P on eight small RNA libraries derived from three plants. Our results demonstrate miRDeep-P as an effective and easy-to-use tool for characterizing the miRNA transcriptome in plants.

Availability: http://faculty.virginia.edu/lilab/miRDP/ CONTACT: ll4jn@virginia.edu

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Data Mining / methods*
  • Gene Expression
  • MicroRNAs / genetics*
  • Models, Genetic
  • Plants / genetics*
  • Software
  • Transcriptome*


  • MicroRNAs