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