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.

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