Consensus target prediction and enrichment analysis
for miRNA variants

isoTar is a high-performance web application for analyzing microRNAs harboring RNA editing sites and isomiRs through multi-tool consensus prediction and downstream functional enrichment.

A-to-I RNA editing (ADAR-mediated)5' / 3' isomiR sequence shiftsSeed-region-aware targetome changes

Why isoTar?

High-throughput sequencing has revealed a complex miRNAome shaped by RNA editing and isomiRs. Modifications occurring within miRNA seed regions can dramatically alter target recognition, giving rise to novel miRNA-gene interactions.

isoTar was developed to explicitly model these miRNA sequence variations and assess their functional impact through consensus target prediction and enrichment analysis.

What isoTar does

Consensus target prediction

Integrates multiple state-of-the-art miRNA target prediction tools and identifies candidates supported by minimum cross-tool consensus.

Seed-region-aware filtering preserves biologically meaningful 7-8 nt matches.

Functional enrichment analysis

Predicted targets are enriched using Gene Ontology categories and pathway resources including KEGG and Reactome.

Supports wild-type versus variant interpretation of downstream biology.

isoTar workflow

miRNA and variantsConsensus predictionTarget aggregationFunctional enrichmentDownload results

Key features

Explicit modeling of miRNA editing and isomiRs
Multi-tool consensus target prediction
Integrated functional enrichment analysis
High-performance multi-core execution
Containerized and reproducible
Downloadable and restorable results