CCPRD

CCPRD constructs comprehensive proteomic reference databases for non-model organisms by integrating draft genomes and deep sequencing transcriptomes to optimize proteomic identification and reduce database search space.


Key Features:

  • Customization from Draft Genomes and Transcriptomes: Integrates draft genomes and deep sequencing transcriptomes to create customized protein reference databases for organisms lacking high-quality genome assemblies.
  • Contamination Control: Implements specialized contamination removal procedures that identify and eliminate contaminants without causing overdecontamination, preserving relevant proteomic sequences.
  • Efficiency and Resource Optimization: Avoids three-frame and six-frame translation to minimize database search space and reduce computational resources, achieving up to 84.6% reduction in database size compared to conventional methods.
  • Superior Performance Metrics: Demonstrated identification of 35.2–50.7% more peptides and 35.8–43.8% more proteins than traditional frame-based methods in comparative studies.
  • High Completeness: Maintains high proteome completeness as confirmed by BUSCO (Benchmarking Universal Single-Copy Orthologs) analysis.

Scientific Applications:

  • Proteomics of Non-model Organisms: Generates tailored reference databases for proteomic analyses of non-model organisms where high-quality genome assemblies are unavailable.
  • Nematocyst Proteomics in Myxozoans: Applied to proteomic study of nematocysts from endoparasitic cnidarians (myxozoans) to improve peptide and protein identification.

Methodology:

Integrates draft genomes and deep sequencing transcriptomes, applies customized contamination removal procedures, avoids three-frame and six-frame translation to minimize search space, and evaluates completeness with BUSCO.

Topics

Details

License:
MIT
Tool Type:
workflow
Programming Languages:
Perl
Added:
1/18/2021
Last Updated:
2/9/2021

Operations

Publications

Guo Q, Li D, Zhai Y, Gu Z. CCPRD: A Novel Analytical Framework for the Comprehensive Proteomic Reference Database Construction of NonModel Organisms. ACS Omega. 2020;5(25):15370-15384. doi:10.1021/acsomega.0c01278. PMID:32637811. PMCID:PMC7331046.

PMID: 32637811
PMCID: PMC7331046
Funding: - Earmarked Fund for China Agriculture Research System: CARS-46 - Nature Science Foundation of China: 31502209, 31572233 - Hubei Agricultural Sciences and Technology Innovation Center: 2019-620-000-001-33 - Featuring Talents Cultivation Project: 4611300108