A streamlined platform for analyzing tera-scale DDA and DIA mass spectrometry data enables highly sensitive immunopeptidomics
Immunopeptidomics benefits from highly sensitive mass spectrometry (MS). Here, the authors present a computational platform for integrating data-dependent and -independent acquisition MS approaches, and demonstrate its utility for deeper immunopeptidome profiling.
Main Authors: | Lei Xin, Rui Qiao, Xin Chen, Hieu Tran, Shengying Pan, Sahar Rabinoviz, Haibo Bian, Xianliang He, Brenton Morse, Baozhen Shan, Ming Li |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-06-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-30867-7 |
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