mpwR

mpwR provides standardized comparison of label-free mass spectrometry (MS)-based proteomic workflows, enabling evaluation of data-dependent and data-independent spectral acquisition methods and liquid chromatography-mass spectrometry (LC-MS) and sample preparation configurations to assess and optimize experimental performance.


Key Features:

  • Standardized comparison: Provides a unified framework for consistent evaluation of MS-based proteomic workflows and their performance metrics.
  • Support for acquisition methods: Accommodates label-free data-dependent and data-independent spectral acquisition methods.
  • Comprehensive software compatibility: Supports outputs from ProteomeDiscoverer, Spectronaut, MaxQuant, and DIA-NN.
  • Performance metrics evaluation: Enables assessment of critical performance measures across unlimited analyses to compare intra- and inter-software differences.

Scientific Applications:

  • Workflow optimization: Compare sample preparation methods and LC-MS configurations to identify optimal experimental setups.
  • Software benchmarking: Evaluate intra- and inter-software differences among ProteomeDiscoverer, Spectronaut, MaxQuant, and DIA-NN to inform tool selection.
  • Reproducibility assessment: Assess reproducibility and performance of label-free MS-based proteomic workflows.

Methodology:

Uses a standardized approach that focuses on critical performance measures, accommodates data-dependent and data-independent acquisition methods, and integrates outputs from ProteomeDiscoverer, Spectronaut, MaxQuant, and DIA-NN.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
1/22/2024
Last Updated:
11/24/2024

Operations

Publications

Kardell O, Breimann S, Hauck SM. mpwR: an R package for comparing performance of mass spectrometry-based proteomic workflows. Bioinformatics. 2023;39(6). doi:10.1093/bioinformatics/btad358. PMID:37267150. PMCID:PMC10265443.

PMID: 37267150
Funding: - German Ministry for Science and Education: FKZ 161L0214E

Links