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.
Bibliographic Details
| 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
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| Language: | English |
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| Published: |
Nature Portfolio
2022-06-01
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| Series: | Nature Communications
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| Online Access: | https://doi.org/10.1038/s41467-022-30867-7
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