msalign2

msalign2 aligns capillary electrophoresis-mass spectrometry (CE-MS) datasets to correct migration time variability and enable accurate compound assignment using mass information.

Key Features:

• Genetic algorithm-based alignment: Employs a genetic algorithm tailored for CE-MS that leverages accurate mass information to perform dataset alignment.
• Handles large and irregular migration time shifts: Addresses substantial and non-linear run-to-run time shifts that challenge traditional alignment methods.
• Reduction of elution time variation: Produces aligned datasets with substantially reduced elution/migration time variability across runs.
• Mass accuracy utilization and instrument compatibility: Capitalizes on mass accuracy to improve alignment and demonstrates performance differences between standard TOF and ultrahigh-resolution TOF maXis instruments (Bruker Daltonics).

Scientific Applications:

• Metabolomics: Enables consistent identification and quantification of small soluble metabolites in biological fluids across multiple CE-MS runs.
• Proteomics: Supports peptide and protein-level analyses where CE-MS migration time alignment is required for dataset integration.
• Multi-dataset integration and compound assignment: Facilitates combining multiple CE-MS datasets to improve compound assignment and comparative analyses.

Methodology:

msalign2 applies a genetic algorithm that iteratively optimizes CE-MS alignment by minimizing migration time discrepancies while preserving mass accuracy and leveraging accurate mass information.