MirCure

MirCure performs quality control, scoring, and curation of microRNA (miRNA) annotations to distinguish true miRNAs from false positives in animal and plant species.


Key Features:

  • Automated scoring: Computes a comprehensive reliability score for each miRNA candidate.
  • Evidence integration: Evaluates candidates using gene expression levels, biogenesis pathway signals, and conservation across species.
  • Arm-specific curation: Adjusts 5p and 3p annotations based on user-supplied small RNA-seq data.
  • Manual curation support: Enables inspection and manual curation of supporting evidence for candidate miRNAs.
  • Validation benchmarking: Performance has been assessed against manually curated animal and plant miRNA sets.
  • Reannotation capability: Supports reassessment and enhancement of previously established miRNA annotations.

Scientific Applications:

  • miRNA database quality control: Filter and discard poorly supported miRNA annotations in public and private databases.
  • Annotation refinement: Refine and correct 5p/3p arm annotations using small RNA-seq evidence.
  • Cross-species assessment: Use conservation evidence to support miRNA annotation across animal and plant species.

Methodology:

Automated scoring of miRNA candidates using gene expression levels, biogenesis pathway evidence, and conservation; arm-specific adjustment using small RNA-seq data; and validation against manually curated miRNA sets.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool, library
Programming Languages:
R
Added:
3/19/2021
Last Updated:
5/6/2021

Operations

Data Inputs & Outputs

Publications

Ylla G, Liu T, Conesa A. MirCure: a tool for quality control, filter and curation of microRNAs of animals and plants. Bioinformatics. 2020;36(Supplement_2):i618-i624. doi:10.1093/bioinformatics/btaa889. PMID:33381847.

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