EVALFQ
EVALFQ evaluates label-free proteome quantification (LFQ) chains to systematically compare and quantify their performance using spiking proteins and multiple evaluation metrics.
Key Features:
- Automated Performance Evaluation: Automatically assesses LFQ chain performance across multiple metrics and criteria.
- Quantification Accuracy Assessment: Uses spiking proteins as benchmarks to quantify accuracy and precision of LFQ methods.
- Comprehensive Chain Assessment: Performs a comprehensive assessment of over 3,000 LFQ chains to identify well-performing chains across multiple perspectives.
Scientific Applications:
- Method Benchmarking: Benchmark and compare label-free quantification workflows and individual LFQ methods.
- Method Selection: Identify well-performing LFQ chains tailored to specific dataset characteristics.
- Quantitative Proteomics Studies: Evaluate quantification accuracy and reproducibility in label-free proteomics experiments.
Methodology:
Implemented as an R package, EVALFQ systematically evaluates over 3,000 LFQ chains by automated performance assessment across multiple metrics and uses spiking proteins as benchmarks.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 1/28/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Fu J, Yang Q, Luo Y, Zhang S, Tang J, Zhang Y, Zhang H, Xu H, Zhu F. Label-free proteome quantification and evaluation. Briefings in Bioinformatics. 2022;24(1). doi:10.1093/bib/bbac477. PMID:36403090.
DOI: 10.1093/bib/bbac477
PMID: 36403090
Funding: - National Central University: 181201*194232101, 2018QNA7023, 2020C03010
- Natural Science Foundation of Jiangsu Province: BK20210597
- Natural Science Foundation of Zhejiang Province: LR21H300001
- National Natural Science Foundation of China: 81872798, U1909208