miRA

miRA identifies microRNA (miRNA) precursors in plant genomes by analyzing small RNA sequencing data together with a reference genome to predict precursor loci and evaluate precursor secondary structures and processing accuracy.


Key Features:

  • Handling Complex Precursor Populations: Manages heterogeneous, non-conserved and species-specific precursor populations and diverse biogenesis pathways found in organisms such as Chlamydomonas reinhardtii.
  • Evaluation of Secondary Structures and Processing Accuracy: Evaluates precursor secondary structures and processing accuracy as criteria for miRNA precursor identification.
  • Flexibility and Adaptability: Provides flexible parameter settings tailored to species-specific characteristics and organisms lacking existing miRNA annotations.
  • Output Formats: Generates output files in PDF, CSV, and genome-browser-compatible annotation formats for downstream genomic analyses.
  • Novel miRNA Identification: Has identified novel miRNAs in Arabidopsis thaliana and Chlamydomonas reinhardtii and enabled discovery of miRNAs in related organisms such as Volvox carteri.
  • Data Integration: Leverages small RNA sequencing data in conjunction with a reference genome to support precursor prediction.

Scientific Applications:

  • Species-specific miRNA Characterization: Identification and annotation of non-conserved, species-specific miRNAs in plants with poorly characterized miRNA populations.
  • Evolutionary Studies: Comparative analyses of miRNA landscapes across species such as Arabidopsis thaliana, Chlamydomonas reinhardtii, and Volvox carteri.
  • Functional Genomics: Investigation of miRNA biogenesis pathways and regulatory mechanisms in diverse plant species.
  • Discovery in Non-model Organisms: Discovery and annotation of novel miRNAs in organisms lacking cross-species conservation or existing annotations.

Methodology:

miRA requires small RNA sequencing data and a corresponding reference genome and assesses precursor secondary structures and processing accuracy to predict miRNA precursor loci.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
C
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Evers M, Huttner M, Dueck A, Meister G, Engelmann JC. miRA: adaptable novel miRNA identification in plants using small RNA sequencing data. BMC Bioinformatics. 2015;16(1). doi:10.1186/s12859-015-0798-3. PMID:26542525. PMCID:PMC4635600.

Documentation

Links