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quantms: a cloud-based pipeline for quantitative proteomics enables the reanalysis of public proteomics data.
Dai, Chengxin; Pfeuffer, Julianus; Wang, Hong; Zheng, Ping; Käll, Lukas; Sachsenberg, Timo; Demichev, Vadim; Bai, Mingze; Kohlbacher, Oliver; Perez-Riverol, Yasset.
Afiliação
  • Dai C; Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Pfeuffer J; State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Life Omics, Beijing, China.
  • Wang H; Algorithmic Bioinformatics, Freie Universität Berlin, Berlin, Germany.
  • Zheng P; Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Käll L; Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Sachsenberg T; Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
  • Demichev V; Department of Computer Science, Applied Bioinformatics, University of Tübingen, Tübingen, Germany.
  • Bai M; Institute for Bioinformatics and Medical Informatics, University of Tübingen, Tübingen, Germany.
  • Kohlbacher O; Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Perez-Riverol Y; Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China.
Nat Methods ; 21(9): 1603-1607, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38965444
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteômica / Computação em Nuvem Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteômica / Computação em Nuvem Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article