CPC2
CPC2 assesses the coding potential of RNA transcripts to distinguish protein-coding from non-coding RNAs for transcriptome and non-coding RNA research.
Key Features:
- Speed and Efficiency: Operates approximately 1000 times faster than CPC1, enabling large-scale transcriptome analyses.
- Accuracy: Demonstrates superior accuracy in distinguishing coding and non-coding transcripts, particularly long non-coding RNAs (lncRNAs).
- Species-Neutrality: Employs a species-neutral model applicable across diverse organisms, including poorly characterized species.
Scientific Applications:
- Transcriptome Analysis: Facilitates identification and characterization of novel transcripts from large-scale RNA sequencing data.
- Non-Coding RNA Research: Supports studies focused on long non-coding RNAs and other non-coding transcripts involved in gene regulation.
- Cross-Species Studies: Enables comparative analyses across different organisms to aid discovery of conserved genetic elements and evolutionary insights.
Methodology:
CPC2 utilizes sequence-intrinsic features and a species-neutral prediction model to determine the coding potential of RNA transcripts.
Topics
Details
- Tool Type:
- command-line tool, web application
- Added:
- 7/12/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Kang Y, Yang D, Kong L, Hou M, Meng Y, Wei L, Gao G. CPC2: a fast and accurate coding potential calculator based on sequence intrinsic features. Nucleic Acids Research. 2017;45(W1):W12-W16. doi:10.1093/nar/gkx428. PMID:28521017. PMCID:PMC5793834.
Documentation
Downloads
- Command-line specificationhttp://cpc2.cbi.pku.edu.cn/data/CPC2-beta.tar.gz