This dataset consists of 44 raw MS files, comprising 27 DIA (SWATH) and 15 DDA runs on a TripleTOF 5600 and of two raw mass spectrometry files acquired on a Q Exactive. The composition of the dataset is described in the manuscript by Tsou et al., titled: "DIA-Umpire: comprehensive computational framework for data independent acquisition proteomics", Nature Methods, in press Raw files are deposited here in ProteomeXchange and are associated with the DIA-Umpire processed data. All DIA-Umpire processed results for each sample together with DDA results are deposited in separated folders. Also see the "DataSampleID.xlsx" associated with this Readme file. Internal reference from the Gingras lab ProHits implementation: Project 94, Export version VS2 (Tsou_DIA-Umpire)
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: DIA ; SWATH
Principal Investigators: (in alphabetical order) |
Alexey I. Nesvizhskii, University of Michigan, N/A |
Submitting User: | ccms |
Tsou CC, Avtonomov D, Larsen B, Tucholska M, Choi H, Gingras AC, Nesvizhskii AI.
DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics.
Nat. Methods. 2015 Mar;12(3):258-64, 7 p following 264. Epub 2015 Jan 19.
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