Raw DDA and DIA data to support Searle et al. 2018. Comprehensive peptide quantification for data independent acquisition mass spectrometry using chromatogram libraries. bioRxiv doi:10.1101/277822
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: DDA ; DIA ; chromatogram library ; spectrum library
Principal Investigators: (in alphabetical order) |
Brian Searle, University of Washington, United States Mike MacCoss, University of Washington, United States |
Submitting User: | searleb |
Searle BC, Pino LK, Egertson JD, Ting YS, Lawrence RT, MacLean BX, Villén J, MacCoss MJ.
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry.
Nat Commun. 2018 Dec 3;9(1):5128. Epub 2018 Dec 3.
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Experimental Design | ||
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Identification Results | ||
Proteins (Human, Remapped):
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Proteins (Reported):
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Peptides:
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Variant Peptides:
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PSMs:
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Quantification Results | ||
Differential Proteins:
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Quantified Proteins:
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FTP Download Link (click to copy):
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