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PXD009719

PXD009719 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleThe MS data for accuracy evaluation of absolute quantification algorithms
DescriptionThe DDA and DIA data for accuracy evaluation of absolute quantification algorithms.
HostingRepositoryiProX
AnnounceDate2018-05-08
AnnouncementXMLSubmission_2020-02-24_19:14:15.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterCheng Chang
SpeciesList scientific name: Mus musculus; NCBI TaxID: 10090; scientific name: Saccharomyces cerevisiae; NCBI TaxID: 4932;
ModificationListmonohydroxylated residue
InstrumentTripleTOF 6600; Q Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02018-05-08 19:16:03ID requested
12018-05-08 19:16:28announced
22020-02-24 19:14:16announced2020-02-25: Update publication information.
Publication List
Chang C, Gao Z, Ying W, Fu Y, Zhao Y, Wu S, Li M, Wang G, Qian X, Zhu Y, He F, LFAQ: Toward Unbiased Label-Free Absolute Protein Quantification by Predicting Peptide Quantitative Factors. Anal Chem, 91(2):1335-1343(2019) [pubmed]
Keyword List
submitter keyword: absolute quantification
Contact List
Yunping Zhu
contact affiliationBeijing Proteome Research Center
contact emailzhuyunping@gmail.com
lab head
Cheng Chang
contact affiliationBeijing Proteome Research Center
contact email1987ccpacer@163.com
dataset submitter
Full Dataset Link List
iProX dataset URI