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PXD022589 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMaxDIA enables highly sensitive and accurate library-based and library-free data-independent acquisition proteomics (DIA data)
DescriptionMaxDIA is a universal platform for analyzing data-independent acquisition proteomics data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves cutting-edge proteome coverage with significantly better coefficients of variation in protein quantification than other software. MaxDIA is equipped with accurate false discovery rate estimates on both library-to-DIA match and protein levels, also when using whole-proteome predicted spectral libraries. This is the foundation of discovery DIA – a framework for the hypothesis-free analysis of DIA samples without library and with reliable FDR control. MaxDIA performs three- or four-dimensional feature detection of fragment data and scoring of matches is augmented by machine learning on the features of an identification. MaxDIA’s novel bootstrap-DIA workflow performs multiple rounds of matching with increasing quality of recalibration and stringency of matching to the library. Combining MaxDIA with two new technologies, BoxCar acquisition and trapped ion mobility spectrometry, both lead to deep and accurate proteome quantification.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterYasset Perez-Riverol
SpeciesList scientific name: Escherichia coli; NCBI TaxID: 562; scientific name: Candida albicans (Yeast); NCBI TaxID: 5476; scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListacetylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive HF; TripleTOF 5600; 6520A Quadrupole Time-of-Flight LC/MS
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-11-17 08:52:17ID requested
12021-07-11 22:06:31announced
22021-07-11 22:12:58announced2021-07-12: Updated publication reference for PubMed record(s): 34239088.
Publication List
Sinitcyn P, Hamzeiy H, Salinas Soto F, Itzhak D, McCarthy F, Wichmann C, Steger M, Ohmayer U, Distler U, Kaspar-Schoenefeld S, Prianichnikov N, Yılmaz Ş, Rudolph JD, Tenzer S, Perez-Riverol Y, Nagaraj N, Humphrey SJ, Cox J, MaxDIA enables library-based and library-free data-independent acquisition proteomics. Nat Biotechnol, ():(2021) [pubmed]
Keyword List
submitter keyword: MaxQuant, Benchmark
Contact List
Jurgen Cox
contact affiliationComputational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany
contact emailcox@biochem.mpg.de
lab head
Yasset Perez-Riverol
contact affiliationEBI
contact emailyperez@ebi.ac.uk
dataset submitter
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Dataset FTP location
PRIDE project URI
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