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quantms: a cloud-based pipeline for quantitative proteomics enables the reanalysis of public proteomics data.

Authors :
Dai C
Pfeuffer J
Wang H
Zheng P
Käll L
Sachsenberg T
Demichev V
Bai M
Kohlbacher O
Perez-Riverol Y
Source :
Nature methods [Nat Methods] 2024 Sep; Vol. 21 (9), pp. 1603-1607. Date of Electronic Publication: 2024 Jul 04.
Publication Year :
2024

Abstract

The volume of public proteomics data is rapidly increasing, causing a computational challenge for large-scale reanalysis. Here, we introduce quantms ( https://quant,ms.org/ ), an open-source cloud-based pipeline for massively parallel proteomics data analysis. We used quantms to reanalyze 83 public ProteomeXchange datasets, comprising 29,354 instrument files from 13,132 human samples, to quantify 16,599 proteins based on 1.03 million unique peptides. quantms is based on standard file formats improving the reproducibility, submission and dissemination of the data to ProteomeXchange.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1548-7105
Volume :
21
Issue :
9
Database :
MEDLINE
Journal :
Nature methods
Publication Type :
Academic Journal
Accession number :
38965444
Full Text :
https://doi.org/10.1038/s41592-024-02343-1