miRGalaxy

miRGalaxy analyzes small RNA sequencing (sRNA-seq) data to identify, quantify, and annotate microRNAs (miRs) and isomiRs for differential expression and biomarker discovery.

Key Features:

• Modular workflows: Modular workflow design enables customization of analysis steps for comprehensive isomiR-ome characterization.
• miR and isomiR identification and annotation: Identification, annotation, and discovery of miRs and isomiRs from sRNA-seq data.
• Differential expression analysis: Detection and reporting of differentially expressed miRs and isomiRs across biological samples.
• Visualization and reporting: Generation of charts and visualizations summarizing significant results.
• Support for diverse sample types: Analysis of sRNA-seq data from biological samples including milk and plasma.

Scientific Applications:

• Biomarker discovery in tissues and biofluids: Identification of diagnostic biomarkers in solid tissues and biofluids using miR and isomiR profiles.
• Liquid biopsy biomarker analysis: Detection of candidate biomarkers from milk and plasma sRNA-seq data for liquid biopsy studies.
• Expression profiling in health and disease: Examination of miR and isomiR expression patterns in normal versus deregulated tissues.
• Support for translational research: Enabling studies that inform personalized medicine and non-invasive diagnostic techniques.

Methodology:

Modular workflows perform identification, annotation, and differential expression analysis of miRs and isomiRs from sRNA-seq data and produce charts and visualizations summarizing significant results.