SRCP
SRCP annotates and quantifies circular RNAs (circRNAs) to enable sensitive detection, annotation, and comparative analysis of differentially expressed and functionally relevant circRNAs across multiple species.
Key Features:
- Two-Step Process: Employs a dual-phase workflow that first annotates validated circRNAs and then quantifies their expression.
- Enhanced Sensitivity and Comprehensiveness: Engineered to detect a broader spectrum of differentially expressed circRNAs with increased sensitivity compared to individual pipelines.
- Cross-Species Validation: Includes a comprehensive collection of validated circRNAs from five organisms, including humans, to support comparative studies.
- Integrative Annotation and Quantification: Uses an integrative approach combining validated annotation datasets with precise quantification steps.
Scientific Applications:
- CircRNA Annotation and Quantification: Provides annotation and expression quantification of circRNAs, which are non-coding RNAs involved in cellular regulatory processes.
- Identification of Functional CircRNAs: Applied to identify subsets of circRNAs that interact with the miRNA-effector protein AGO2, including analyses in human brain samples.
- Differential Expression Studies: Enables exploration of circRNA differential expression across physiological or pathological conditions.
Methodology:
SRCP implements a two-step integrative computational workflow that combines annotation of validated circRNAs with subsequent precise quantification of their expression.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 1/25/2022
- Last Updated:
- 1/25/2022
Operations
Publications
Rabin A, Zaffagni M, Ashwal-Fluss R, Patop IL, Jajoo A, Shenzis S, Carmel L, Kadener S. SRCP: a comprehensive pipeline for accurate annotation and quantification of circRNAs. Genome Biology. 2021;22(1). doi:10.1186/s13059-021-02497-7. PMID:34556162. PMCID:PMC8459468.
PMID: 34556162
PMCID: PMC8459468
Funding: - Michael J. Fox Foundation for Parkinson's Research: 11183.01