Journal article
QCMAP: An Interactive Web-Tool for Performance Diagnosis and Prediction of LC-MS Systems
T Kim, IR Chen, BL Parker, SJ Humphrey, B Crossett, SJ Cordwell, P Yang, JYH Yang
Proteomics | WILEY | 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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Awarded by National Health and Medical Research Council
Funding Acknowledgements
The authors thank members from the School of Mathematics and Statistics, School of Life and Environmental Sciences, and Sydney Mass Spectrometry for their feedback on this work. Judith & David Coffey Life Lab provided financial support. This work was supported by ARC/DP (DP170100654) to J.Y.H.Y. and P.Y.; ARC/DECRA (DE170100759) to P.Y.; NHMRC/ECF (APP1072129) to B.L.P. and NHMRC/CDF (APP1111338) to J.Y.H.Y.