anamiR

anamiR identifies potential interactions between microRNAs (miRNAs) and their target genes from miRNA and mRNA expression data to facilitate analysis of miRNA-mediated gene regulation.

Key Features:

• Statistical Testing: Implements statistical tests to assess associations between miRNA and target gene expression within high-throughput expression datasets.
• Curated Databases: Integrates curated databases of known miRNA-target gene interactions to cross-reference and support findings.
• Functional Analysis: Provides functionality for functional analysis of identified miRNA-target interactions to infer affected biological pathways.

Scientific Applications:

• Cancer Research: Investigate the role of miRNAs in cancer progression and identify candidate biomarkers or therapeutic targets.
• Neurobiology: Analyze miRNA involvement in neurological disorders using gene expression profiles.
• Developmental Biology: Study miRNA-mediated regulatory mechanisms in developmental processes.

Methodology:

Implemented as an R package within the Bioconductor framework, using miRNA and mRNA high-throughput expression data, applying statistical methodologies to assess miRNA–target gene associations, and integrating curated miRNA–target interaction databases.