CircPro

CircPro identifies circular RNAs with protein-coding potential from high-throughput RNA sequencing data to detect and characterize coding circRNAs.

Key Features:

• Detection of protein-coding circRNAs: Identifies circRNAs that exhibit potential for translation into proteins.
• Analysis of high-throughput sequencing data: Analyzes RNA sequencing datasets to discover circRNAs present in samples.
• Back-splicing identification: Detects circRNAs derived from back-splicing events on precursor mRNAs.
• Sequence characterization: Characterizes circRNA sequences, including their covalently closed loop structure and absence of 5' caps and 3' polyadenylated tails.
• Integration of computational methods: Integrates multiple computational algorithms to provide comprehensive analysis of circRNA coding potential.

Scientific Applications:

• Cataloging coding circRNAs: Compiles lists of circRNAs with predicted protein-coding potential from sequencing studies.
• Transcriptome and proteome expansion studies: Assesses contributions of circRNAs to expanded coding capacity of the transcriptome and proteome.
• Functional genomics: Supports investigation of circRNA roles in gene regulation and cellular pathways through identification of coding candidates.
• Disease mechanism research: Enables exploration of coding circRNAs as potential factors in disease-related molecular mechanisms.

Methodology:

Analyzes high-throughput RNA sequencing datasets using integrated computational algorithms to detect back-splicing-derived circRNAs and identify those with protein-coding potential.