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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
Published on: August 19, 2025
Noelle M Griffin1, Jingyi Yu, Fred Long
1Proteogenomics Research Institute for Systems Medicine, San Diego, California, USA.
We developed a normalized, label-free quantitative method (SI(N)) to improve shotgun proteomic profiling. This method enhances quantitative reproducibility and protein abundance prediction in complex biological samples.
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