⮝ Full datasets listing
PXD003954-1
PXD003954 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | In-depth Analysis of Protein Inference Algorithms using a Workflow Framework and Well-Defined Metrics - iPRG 2008 UniProt proteome analysis |
| Description | This dataset is no actual new study but the results of the benchmark of the iPRG2008 benchmark dataset used in the manuscript "In-depth Analysis of Protein Inference Algorithms using a Workflow Framework and Well-Defined Metrics". |
| HostingRepository | PRIDE |
| AnnounceDate | 2016-08-10 |
| AnnouncementXML | Submission_2016-08-10_02:19:21.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Julian Uszkoreit |
| SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
| ModificationList | iTRAQ4plex-116 reporter+balance reagent acylated residue; methylthiolated residue; monohydroxylated residue |
| Instrument | Q TRAP |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2016-04-13 02:56:20 | ID requested | |
| ⏵ 1 | 2016-08-10 02:19:22 | announced |
Publication List
Keyword List
| curator keyword: Technical |
| submitter keyword: reanalysis, mouse |
Contact List
| Katrin Marcus | |
|---|---|
| contact affiliation | Ruhr-Universität Bochum, Medizinisches Proteom-Center |
| contact email | katrin.marcus@rub.de |
| lab head | |
| Julian Uszkoreit | |
| contact affiliation | Ruhr-Universität Bochum, Medizinisches Proteom-Center, Medical Bioinformatics, Algorithmic Proteomics |
| contact email | julian.uszkoreit@rub.de |
| 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/2016/08/PXD003954 |
| PRIDE project URI |
Repository Record List
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