Journal article

QCMAP: An Interactive Web-Tool for Performance Diagnosis and Prediction of LC-MS Systems.

Taiyun Kim, Irene Rui Chen, Benjamin L Parker, Sean J Humphrey, Ben Crossett, Stuart J Cordwell, Pengyi Yang, Jean Yee Hwa Yang

Proteomics | Published : 2019

Abstract

The increasing role played by liquid chromatography-mass spectrometry (LC-MS)-based proteomics in biological discovery has led to a growing need for quality control (QC) on the LC-MS systems. While numerous quality control tools have been developed to track the performance of LC-MS systems based on a pre-defined set of performance factors (e.g., mass error, retention time), the precise influence and contribution of the performance factors and their generalization property to different biological samples are not as well characterized. Here, a web-based application (QCMAP) is developed for interactive diagnosis and prediction of the performance of LC-MS systems across different biological samp..

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University of Melbourne Researchers