PXD008535 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | MaxQuant Label Free Quantification wrapped as a Software Service |
Description | Scientific services in the area of OMICS research is becoming increasingly popular. In gen- eral omics research can produce a massive amount of data that can pose a challenge for computing infrastructure. While in the genomics area, many applications can run on Linux nodes the situation in proteomics is different. In proteomics, many applications are optimized to run on Windows computer only. As a sci- entific service provider, a core facility needs reliable, reproducible and easy to use integrated solutions. Liquid chromatography mass spectrometry intensity based label-free quantifica- tion using data-dependent acquisition is a popular approach in proteomics to perform relative quantification of proteins in complex samples. MaxQuant is a widely used software for this type of analysis which has a complex graphical user interface and provides information-rich outputs. We run it in which also includes Scaffold for search result validation and visualization and an R based quality control report generation. Data analysis workflows consists of several components: a workflow engine, compute hosts, and archives. In particular, applications can run on compute hosts, while the data is kept in an archive server. Therefore, the input and output need to be staged to the compute host and the results need to be staged back to the archive. This complexity can be overwhelming for a most common user. These different components have all been integrated into a robust and user-friendly application to process standardized label-free quantification experiments. We integrated MaxQuant as an in-house Software as a Service application so it can be used by any workflow engine in a platform-independent manner. In this manuscript, we provide a technical description of how MaxQuant as software service has been integrated into our heterogeneous compute environment for reproducible and automatic large scale high throughput data processing of label-free quantification experiments. In this Pride dataset we provide four raw files along with the full MaxQuant results, the Scaffold file, the QC-pdf report to have a concrete idea of the potential of our workflow. These data are generated in the FGCZ-course in Nov. 2016 (for further information see: http://www.fgcz.ch/education/genomics-courses01.html). |
HostingRepository | PRIDE |
AnnounceDate | 2022-09-23 |
AnnouncementXML | Submission_2022-09-23_05:31:08.245.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Jonas Grossmann |
SpeciesList | scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932; |
ModificationList | monohydroxylated residue; iodoacetamide derivatized residue; deamidated residue |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2017-12-21 08:01:14 | ID requested | |
⏵ 1 | 2022-09-23 05:31:08 | announced | |
2 | 2024-10-22 05:39:46 | announced | 2024-10-22: Updated project metadata. |
Publication List
Dataset with its publication pending |
Keyword List
curator keyword: Technical |
submitter keyword: Proteomics, Label Free Quantification, Software as a Service, Data Dependent Aquisition, MaxQuant, Quality Control, Scientific Workflows and Services, Automation, Reproducible Research |
Contact List
Grossmann Jonas |
contact affiliation | Functional Genomics Center Zurich Winterthurerstr. 190 CH-8057 Zurich, Switzerland |
contact email | jg@fgcz.ethz.ch |
lab head | |
Jonas Grossmann |
contact affiliation | Functional Genomics Center Zurich (UZH/ETHZ) |
contact email | jg@fgcz.ethz.ch |
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/2022/09/PXD008535 |
PRIDE project URI |
Repository Record List
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[ - ]
- PRIDE
- PXD008535
- Label: PRIDE project
- Name: MaxQuant Label Free Quantification wrapped as a Software Service