isomiR-SEA

isomiR-SEA performs seed-aware alignments to identify and quantify microRNAs (miRNAs) and their isomiR variants and to detect miRNA:mRNA interaction sites from RNA-Seq data.


Key Features:

  • Specialized alignment algorithm: Employs a multi-phase, seed-aware alignment algorithm tailored to miRNA structure, including explicit consideration of the seed region.
  • Accurate isomiR detection: Evaluates mismatches during alignment phases to distinguish and classify isomiR variants from canonical miRNA sequences.
  • miRNA:mRNA interaction awareness: Considers miRNA:mRNA interaction sites and structural nuances of miRNAs during alignment to identify conserved interaction sites.
  • Integration of biological evidence: Incorporates biological evidence about miRNA structure to map tags to known miRNA sequences and improve assignment accuracy.
  • No post-alignment filtering required: Integrates isomiR and interaction-site evaluations during initial alignment phases to avoid additional post-alignment filtering steps.
  • Performance validation: Validated on two public RNA-Seq datasets with reported superior accuracy in miRNA expression level assessment compared to existing tools.

Scientific Applications:

  • miRNA expression profiling: Provides accurate quantification of miRNA expression levels from RNA-Seq data, including isomiR-specific counts.
  • Transcriptome analysis: Supports analysis of regulatory networks by delivering variant classifications and interaction-site information for incorporation into transcriptome studies.
  • Functional genomics: Enables investigation of gene regulation mechanisms mediated by miRNAs through precise identification of conserved miRNA:mRNA interaction sites and isomiR variants.

Methodology:

Uses a multi-phase alignment process that prioritizes detection of miRNA seed regions, evaluates mismatches to differentiate isomiRs, integrates miRNA structural evidence into alignment scoring, and performs interaction-site identification during initial alignment to avoid post-alignment filtering.

Topics

Details

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

Operations

Publications

Urgese G, Paciello G, Acquaviva A, Ficarra E. isomiR-SEA: an RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation. BMC Bioinformatics. 2016;17(1). doi:10.1186/s12859-016-0958-0. PMID:27036505. PMCID:PMC4815201.

PMID: 27036505
PMCID: PMC4815201
Funding: - Department of Control and Computer Engineering - DAUIN Politecnico di Torin: 0000-0003-2672-7593

Documentation

Links