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RT alignment test of DeepRTAlign using data under two gradients

ABSTRACT: Nano-flow LC-MS/MS analysis of 293T digest in two gradients.

ORGANISM(S): Homo Sapiens

SUBMITTER: Cheng Chang

PROVIDER: PXD044221 | iProX | Tue Aug 01 00:00:00 BST 2023

REPOSITORIES: iProX

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DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis.

Liu Yi Y Yang Yun Y Chen Wendong W Shen Feng F Xie Linhai L Zhang Yingying Y Zhai Yuanjun Y He Fuchu F Zhu Yunping Y Chang Cheng C

Nature communications 20231211 1

Retention time (RT) alignment is a crucial step in liquid chromatography-mass spectrometry (LC-MS)-based proteomic and metabolomic experiments, especially for large cohort studies. The most popular alignment tools are based on warping function method and direct matching method. However, existing tools can hardly handle monotonic and non-monotonic RT shifts simultaneously. Here, we develop a deep learning-based RT alignment tool, DeepRTAlign, for large cohort LC-MS data analysis. DeepRTAlign has ...[more]

PMID: 38081814

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