GeneSet2miRNA

GeneSet2miRNA identifies microRNA (miRNA) regulatory activity in user-provided gene lists to infer miRNA-regulatory models indicative of post-transcriptional gene regulation.

Key Features:

• Input: Accepts a curated list of genes as input.
• Output: Produces miRNA-regulatory models comprising single miRNAs or combinations of up to four (pairs, triplets, quadruplets) predicted to regulate a significant subset of the input gene list.
• Model Organism Support: Supports analysis for multiple model organisms.
• Computational Modeling: Applies predictive computational modeling to detect signatures of miRNA activity within gene lists.

Scientific Applications:

• Functional Genomics: Investigating miRNA-mediated regulation of specific gene sets to elucidate cellular pathways and processes.
• Disease Research: Exploring altered miRNA regulatory activity in disease contexts for biomarker or therapeutic target discovery.
• Comparative Genomics: Analyzing conserved or species-specific miRNA regulatory patterns across different organisms.

Methodology:

Employs a predictive computational modeling approach that analyzes gene lists for signatures indicative of miRNA activity to identify groups of miRNAs that collectively regulate subsets of input genes.