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

  • Chengxin Dai,
  • Julianus Pfeuffer,
  • Hong Wang,
  • Ping Zheng,
  • Lukas Käll,
  • Timo Sachsenberg,
  • Vadim Demichev,
  • Mingze Bai,
  • Oliver Kohlbacher,
  • Yasset Perez-Riverol

摘要

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.