RawBeans

RawBeans: Quality Control and Performance Assessment for LC-MS Data

RawBeans evaluates raw liquid chromatography–mass spectrometry (LC-MS) data to assess system performance and data quality independent of downstream data processing.

Key Features:

• Vendor Independence: Operates independently of specific mass spectrometer vendors.
• Comprehensive Dataset Analysis: Generates performance assessments for individual raw files or complete experimental datasets.
• Intra-Experiment Monitoring: Enables real-time evaluation of LC-MS system performance during experiments.
• Raw Data Quality Assessment: Extracts and evaluates performance parameters directly from raw LC-MS data without reliance on subsequent processing workflows.

Scientific Applications:

• Proteomics Quality Control: Identifies performance deviations and data integrity issues in LC-MS-based proteomics experiments to improve reproducibility and reliability.

Methodology:

RawBeans extracts quantitative parameters reflecting LC-MS system performance from raw mass spectrometry files and summarizes these metrics across single runs or entire datasets to enable systematic quality control of proteomic experiments.