Ms-lims

Ms-lims manages centralized storage and automated processing of mass spectrometry (MS) data to support protein identification and quantification in proteomics studies.

Key Features:

• Centralized Database System: Ms-lims uses a central database architecture to store, index, and retrieve large-scale mass spectrometry (MS) proteomics datasets.
• Automation of Data Processing: Ms-lims automates processing of mass spectra including identification and quantification steps for MS-driven proteomics analyses.
• High-throughput Data Management: Ms-lims provides scalable management of the data lifecycle for high-throughput proteomics studies from acquisition through analysis.

Scientific Applications:

• Protein Identification and Quantification: Facilitates identification and quantification of proteins from MS proteomics experiments.
• High-throughput Proteomics Studies: Enables handling and analysis of large-scale sample sets generated by high-throughput MS workflows.
• Biomarker Discovery: Supports studies aimed at discovering disease biomarkers through systematic MS data analysis.
• Protein–Protein Interaction Studies: Assists experiments that require large-scale MS data management for investigating protein–protein interactions.

Methodology:

Integration of a central database with automated workflows for processing, identification, and quantification of mass spectra, managing the data lifecycle from acquisition through processing and analysis.