miRMOD
miRMOD identifies and analyzes post-transcriptional 5′ and 3′ end modifications of microRNAs (miRNAs) from small RNA Next Generation Sequencing (sRNA NGS) data to evaluate their effects on miRNA stability and miRNA–mRNA interactions.
Key Features:
- Modification identification: Detects non-templated nucleotide additions and trimming at the 5′ and 3′ termini of miRNAs from sRNA NGS data.
- Target interaction analysis: Predicts and compares target genes of unmodified and modified miRNAs by calculating minimum free energies of miRNA–target interactions.
- Functional impact assessment: Assesses potential changes in gene repression resulting from terminal miRNA modifications through energy-based comparisons.
- sRNA NGS data support: Operates on small RNA Next Generation Sequencing (sRNA NGS) datasets to perform modification detection and downstream interaction analysis.
Scientific Applications:
- Functional studies of miRNA regulation: Investigates how 5′ and 3′ terminal modifications influence miRNA stability and target repression.
- Comparative analysis of modified versus unmodified miRNAs: Compares predicted targets and interaction energies to identify modification-driven changes in targeting.
- Conservation and evolutionary studies: Enables examination of conserved and functionally significant miRNA terminal modifications across species.
Methodology:
Leverages sRNA NGS data to detect non-templated nucleotide additions and trimming at miRNA termini and assesses effects on target gene repression by calculating and comparing minimum free energies of miRNA–target interactions.
Topics
Details
- License:
- Other
- Tool Type:
- command-line tool, desktop application
- Operating Systems:
- Windows
- Programming Languages:
- C#
- Added:
- 10/11/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Kaushik A, Saraf S, Mukherjee SK, Gupta D. miRMOD: a tool for identification and analysis of 5′ and 3′ miRNA modifications in Next Generation Sequencing small RNA data. PeerJ. 2015;3:e1332. doi:10.7717/peerj.1332. PMID:26623179. PMCID:PMC4662591.