Rcirc

Rcirc analyzes circular RNAs (circRNAs) and visualizes their features, including assessing their coding potential from RNA-seq data to support transcriptome and functional genomics studies.

Key Features:

• Coding Ability Identification: Identifies the coding potential of circRNAs to detect possible peptide or protein translation.
• Comprehensive Visualization Capabilities: Generates visualizations of individual circRNAs and aggregated meta-features across large datasets containing thousands of circRNAs.
• Integration with RNA-seq Data: Provides downstream analyses that complement circRNA detection from RNA-seq data produced by next-generation sequencing technologies.

Scientific Applications:

• Functional Genomics: Enables investigation of circRNA roles in gene regulation and expression by identifying coding potential.
• Disease Research: Supports studies of circRNA involvement in diseases such as cancer and neurological disorders.
• Transcriptome Analysis: Facilitates detailed circRNA visualization and analysis within transcriptome-wide studies.

Methodology:

Processes RNA-seq data to identify circRNAs, assesses their coding potential, and produces visualizations of individual circRNAs and aggregated meta-features.