quantms: A cloud-based pipeline for proteomics reanalysis enables the quantification of 17521 proteins in 9,502 human samples.

Author:

Dai Chengxin1ORCID,Pfeuffer Julianus2,Wang Hong1,Sachsenberg Timo3ORCID,Demichev Vadim4ORCID,Kohlbacher Oliver3ORCID,Perez-Riverol Yasset5ORCID

Affiliation:

1. Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China.

2. Algorithmic Bioinformatics, Freie Universität Berlin, Berlin, Germany.

3. Department of Computer Science, Applied Bioinformatics, University of Tübingen, Tübingen, 72076, Germany

4. Charité - Universitätsmedizin Berlin, Berlin, 10117, Germany

5. European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK

Abstract

Abstract Public proteomics data is rapidly increasing, creating a computational challenge for large-scale reanalysis. Here, we introduce quantms, an open-source cloud-based pipeline for massively parallel proteomics data analysis. We used quantms to reanalyze 56 of the largest datasets, comprising 26801 instrument files from 9502 human samples, to quantify 17521 based on 1.02 million unique peptides. Based on standard file formats improves the reproducibility and deposition of the data to ProteomeXchange.

Publisher

Research Square Platform LLC

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