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