iDIA-QC: AI-empowered data-independent acquisition mass spectrometry-based quality control
iDIA-QC: AI-empowered data-independent acquisition mass spectrometry-based quality control
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Author / Creator
Gao, Huanhuan , Zhu, Yi , Wang, Dongxue , Nie, Zongxiang , Wang, He , Wang, Guibin , Liang, Shuang , Xie, Yuting , Sun, Yingying , Jiang, Wenhao , Dong, Zhen , Qian, Liqin , Wang, Xufei , Liang, Mengdi , Chen, Min , Fang, Houqi , Zeng, Qiufang , Tian, Jiao , Sun, Zeyu , Xue, Juan , Li, Shan , Chen, Chen , Liu, Xiang , Lyu, Xiaolei , Guo, Zhenchang , Qi, Yingzi , Wu, Ruoyu , Du, Xiaoxian , Tong, Tingde , Kong, Fengchun , Han, Liming , Wang, Minghui , Zhao, Yang , Dai, Xinhua , He, Fuchu and Guo, Tiannan
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Quality control (QC) in mass spectrometry (MS)-based proteomics is mainly based on data-dependent acquisition (DDA) analysis of standard samples. Here, we collect 2754 files acquired by data independent acquisition (DIA) and paired 2638 DDA files from mouse liver digests using 21 mass spectrometers across nine laboratories over 31 months. Our data...
Alternative Titles
Full title
iDIA-QC: AI-empowered data-independent acquisition mass spectrometry-based quality control
Authors, Artists and Contributors
Author / Creator
Zhu, Yi
Wang, Dongxue
Nie, Zongxiang
Wang, He
Wang, Guibin
Liang, Shuang
Xie, Yuting
Sun, Yingying
Jiang, Wenhao
Dong, Zhen
Qian, Liqin
Wang, Xufei
Liang, Mengdi
Chen, Min
Fang, Houqi
Zeng, Qiufang
Tian, Jiao
Sun, Zeyu
Xue, Juan
Li, Shan
Chen, Chen
Liu, Xiang
Lyu, Xiaolei
Guo, Zhenchang
Qi, Yingzi
Wu, Ruoyu
Du, Xiaoxian
Tong, Tingde
Kong, Fengchun
Han, Liming
Wang, Minghui
Zhao, Yang
Dai, Xinhua
He, Fuchu
Guo, Tiannan
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_491f92f49b0e42248a6dd291d575d01d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_491f92f49b0e42248a6dd291d575d01d
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-024-54871-1
