PXD044981 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Benchmarking DIA data analysis workflows |
Description | Data independent acquisition (DIA) has become a well-established method in LC-MS driven proteomics. Nonetheless, there are still a lot of possibilities at the data analysis level. By benchmarking different DIA analysis workflows through a ground truth sample mimicking real differential abundance samples, consisting of a differential spike-in of UPS2 in a constant yeast background, we provide a roadmap for DIA data analysis of shotgun samples based on whether sensitivity, precision or accuracy is of the essence. Three different commonly used DIA software tools (DIA-NN, EncyclopeDIA and SpectronautTM) were tested in both spectral library mode and spectral library free mode. In spectral library mode we used the independent spectral library prediction tools Prosit and MS2PIP together with DeepLC, next to the classical DDA-based spectral libraries. In total we benchmarked 12 DIA workflows. DIA-NN in library free mode or using in silico predicted libraries shows the highest sensitivity maintaining a high reproducibility and accuracy. |
HostingRepository | PRIDE |
AnnounceDate | 2024-05-06 |
AnnouncementXML | Submission_2024-05-06_04:28:53.337.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | An Staes |
SpeciesList | scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932; |
ModificationList | iodoacetamide derivatized residue |
Instrument | Q Exactive HF |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2023-08-30 16:09:23 | ID requested | |
⏵ 1 | 2024-05-06 04:28:54 | announced | |
Publication List
Keyword List
submitter keyword: shotgun proteomics, in silico library, LC-MS, DDA library, Data analysis, benchmark,DIA, library free |
Contact List
Simon Devos |
contact affiliation | 1)VIB Center for Medical Biotechnology, Technologiepark-Zwijnaarde 75, B9052 Ghent, Belgium 2)Department of Biomolecular Medicine, Ghent University, Technologiepark-Zwijnaarde 75, B9052 Ghent, Belgium 3)VIB Proteomics Core, Technologiepark-Zwijnaarde 75, B9052 Ghent, Belgium |
contact email | Simon.devos@vib-ugent.be |
lab head | |
An Staes |
contact affiliation | Medical Protein Chemistry |
contact email | an.staes@vib-ugent.be |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2024/05/PXD044981 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD044981
- Label: PRIDE project
- Name: Benchmarking DIA data analysis workflows