PXD025792

PXD025792 is an original dataset announced via ProteomeXchange.

Title	Benchmark data set for MSPypeline, a python package for streamlined mass spectrometry-based proteomics data analysis
Description	Mass spectrometry-based proteomics is increasingly employed in biology and medicine. To generate reliable information from large data sets and ensure comparability of results it is crucial to implement and standardize the quality control of the raw data, the data processing steps and the statistical analyses. The MSPypeline provides a platform for the import of MaxQuant output tables, the generation of quality control reports, the preprocessing of data including normalization and exploratory analyses by statistical inference plots. These standardized steps assess data quality, provide customizable figures and enable the identification of differentially expressed proteins to reach biologically relevant conclusions.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:53:07.010.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Alexander Held
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Exploris 480

Revision	Datetime	Status	ChangeLog Entry
0	2021-05-04 07:08:59	ID requested
1	2021-07-22 01:51:55	announced
⏵ 2	2023-11-14 08:53:07	announced	2023-11-14: Updated project metadata.

Dataset with its publication pending

submitter keyword: H838, TGFbeta, Orbitrap Exploris 480, H1975, NSCLC,human

Ursula Klingmüller
contact affiliation	Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany
contact email	u.klingmueller@dkfz.de
lab head
Alexander Held
contact affiliation	DKFZ Heidelberg
contact email	a.gorol@dkfz.de
dataset submitter

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/2021/07/PXD025792

PRIDE project URI

• PRIDE
  1. PXD025792
     1. Label: PRIDE project
     2. Name: Benchmark data set for MSPypeline, a python package for streamlined mass spectrometry-based proteomics data analysis