LC-IMS-MS Feature Finder
LC-IMS-MS Feature Finder identifies molecular ion signatures in multidimensional liquid chromatography-ion mobility spectrometry-mass spectrometry (LC-IMS-MS) datasets by clustering deisotoped peaks using monoisotopic mass, charge state, LC elution time, and ion mobility drift time to support identification and quantification of proteomics and metabolomics species.
Key Features:
- Molecular Ion Signature Identification: Clusters deisotoped peaks by monoisotopic mass, charge state, LC elution time, and ion mobility drift time to identify distinct molecular ion signatures.
- Co-eluting Species Detection: Detects and quantifies co-eluting chemical species within LC-IMS-MS data.
- Conformational Separation via IMS: Utilizes ion mobility drift time to separate and characterize species that exist in multiple conformations.
Scientific Applications:
- Proteomics: Enables detection and characterization of peptide and protein ions in LC-IMS-MS proteomics experiments.
- Metabolomics: Supports identification and quantification of small-molecule metabolites in complex samples.
- Complex mixture analysis: Facilitates deconvolution and analysis of multiple co-eluting and conformationally heterogeneous compounds in complex mixtures.
Methodology:
Clustering of deisotoped peaks based on monoisotopic mass, charge state, LC elution time, and ion mobility drift time; detection and quantification of co‑eluting species; and use of ion mobility drift times to separate conformers.
Topics
Collections
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Windows
- Added:
- 12/18/2017
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Clustering
Publications
Crowell KL, Slysz GW, Baker ES, LaMarche BL, Monroe ME, Ibrahim YM, Payne SH, Anderson GA, Smith RD. LC-IMS-MS Feature Finder: detecting multidimensional liquid chromatography, ion mobility and mass spectrometry features in complex datasets. Bioinformatics. 2013;29(21):2804-2805. doi:10.1093/bioinformatics/btt465. PMID:24008421. PMCID:PMC3799467.