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ppx: Programmatic Access to Proteomics Data Repositories.
Fondrie, William E; Bittremieux, Wout; Noble, William S.
Afiliação
  • Fondrie WE; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
  • Bittremieux W; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, United States.
  • Noble WS; Department of Computer Science, University of Antwerp, Antwerp 2020, Belgium.
J Proteome Res ; 20(9): 4621-4624, 2021 09 03.
Article em En | MEDLINE | ID: mdl-34342226
ABSTRACT
The volume of proteomics and mass spectrometry data available in public repositories continues to grow at a rapid pace as more researchers embrace open science practices. Open access to the data behind scientific discoveries has become critical to validate published findings and develop new computational tools. Here, we present ppx, a Python package that provides easy, programmatic access to the data stored in ProteomeXchange repositories, such as PRIDE and MassIVE. The ppx package can be used as either a command line tool or a Python package to retrieve the files and metadata associated with a project when provided its identifier. To demonstrate how ppx enhances reproducible research, we used ppx within a Snakemake workflow to reanalyze a published data set with the open modification search tool ANN-SoLo and compared our reanalysis to the original results. We show that ppx readily integrates into workflows, and our reanalysis produced results consistent with the original analysis. We envision that ppx will be a valuable tool for creating reproducible analyses, providing tool developers easy access to data for development, testing, and benchmarking, and enabling the use of mass spectrometry data in data-intensive analyses. The ppx package is freely available and open source under the MIT license at https//github.com/wfondrie/ppx.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteômica Tipo de estudo: Prognostic_studies Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteômica Tipo de estudo: Prognostic_studies Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos