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.