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
Validation
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.
PMID: 33381847
Downloads
- Container filehttps://hub.docker.com/r/conesalab/mircure