circRNAprofiler

circRNAprofiler provides integrated downstream analysis of circular RNAs (circRNAs) in R by consolidating outputs from annotation-based detection tools into modules for differential expression, evolutionary conservation, biogenesis and functional analyses.

Key Features:

• Integration of Multiple Detection Tools: Integrates circRNAs identified by annotation-based detection tools to consolidate results from multiple callers.
• R-based Implementation: Implemented in R and organized into 15 distinct modules for circRNA analysis.
• Comprehensive Analysis Modules: Provides modules for differential expression analysis, evolutionary conservation assessment, investigation of biogenesis pathways, and functional analysis.
• Highly Automated Workflow: Implements an automated workflow to process large circRNA datasets and minimize manual intervention.
• Customization Options: Enables customization of analysis parameters to tailor investigations to specific research needs.
• Data Visualization Tools: Includes visualization functions for clear presentation of analytical results.

Scientific Applications:

• Functional investigation: Post-detection integrative analysis to elucidate the functional implications of circRNAs.
• Role in physiology and disease: Analysis to investigate circRNA involvement in physiological and pathological conditions and potential disease mechanisms.

Methodology:

An automated pipeline processes circRNAs detected by annotation-based detection tools and performs downstream analyses including differential expression, evolutionary conservation, biogenesis investigation and functional analysis.