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Mass spectrometry-based proteomics data from thousands of HeLa control samples.

Authors :
Webel, Henry
Perez-Riverol, Yasset
Nielsen, Annelaura Bach
Rasmussen, Simon
Source :
Scientific Data; 1/26/2024, Vol. 11 Issue 1, p1-7, 7p
Publication Year :
2024

Abstract

Here we provide a curated, large scale, label free mass spectrometry-based proteomics data set derived from HeLa cell lines for general purpose machine learning and analysis. Data access and filtering is a tedious task, which takes up considerable amounts of time for researchers. Therefore we provide machine based metadata for easy selection and overview along the 7,444 raw files and MaxQuant search output. For convenience, we provide three filtered and aggregated development datasets on the protein groups, peptides and precursors level. Next to providing easy to access training data, we provide a SDRF file annotating each raw file with instrument settings allowing automated reprocessing. We encourage others to enlarge this data set by instrument runs of further HeLa samples from different machine types by providing our workflows and analysis scripts. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20524463
Volume :
11
Issue :
1
Database :
Complementary Index
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
175022892
Full Text :
https://doi.org/10.1038/s41597-024-02922-z