MobilityTransformR
MobilityTransformR performs mobility scaling of capillary zone electrophoresis-mass spectrometry (CE-MS) data to standardize migration times across runs and instruments for comparative metabolomics analyses.
Key Features:
- Effective Mobility Scaling: Performs mobility scaling on CE-MS datasets to adjust migration time variations across runs or instruments.
- Integration with R/Bioconductor Ecosystem: Leverages R and Bioconductor functionalities to integrate with MS-based metabolomics workflows.
- Reproducibility: Transforms CE-MS data to support consistent results across studies by standardizing mobility measurements.
Scientific Applications:
- Comparative metabolomics: Standardizes migration times to enable direct comparison of CE-MS datasets across experimental conditions or laboratories.
- Biomarker discovery: Improves reliability of detecting and comparing metabolite signals for biomarker identification in CE-MS studies.
- Metabolic pathway and large-scale omics studies: Reduces mobility-induced variability to support metabolic pathway analysis and large-scale omics investigations.
Methodology:
Adjusts migration times in CE-MS data using mobility-scaling algorithms to account for variability introduced by instrumental or procedural differences.
Topics
Details
- License:
- Artistic-2.0
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 10/1/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Salzer L, Witting M, Schmitt-Kopplin P. MobilityTransformR: an R package for effective mobility transformation of CE-MS data. Bioinformatics. 2022;38(16):4044-4045. doi:10.1093/bioinformatics/btac441. PMID:35781328.
PMID: 35781328
Funding: - Deutsche Forschungsgemeinschaft: 431572533