PXD009719
PXD009719 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | The MS data for accuracy evaluation of absolute quantification algorithms |
Description | The DDA and DIA data for accuracy evaluation of absolute quantification algorithms. |
HostingRepository | iProX |
AnnounceDate | 2018-05-08 |
AnnouncementXML | Submission_2020-02-24_19:14:15.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Cheng Chang |
SpeciesList | scientific name: Mus musculus; NCBI TaxID: 10090; scientific name: Saccharomyces cerevisiae; NCBI TaxID: 4932; |
ModificationList | monohydroxylated residue |
Instrument | TripleTOF 6600; Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2018-05-08 19:16:03 | ID requested | |
1 | 2018-05-08 19:16:28 | announced | |
⏵ 2 | 2020-02-24 19:14:16 | announced | 2020-02-25: 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 affiliation | Beijing Proteome Research Center |
contact email | zhuyunping@gmail.com |
lab head | |
Cheng Chang | |
contact affiliation | Beijing Proteome Research Center |
contact email | 1987ccpacer@163.com |
dataset submitter |
Full Dataset Link List
iProX dataset URI |