ppx: Programmatic Access to Proteomics Data Repositories
| Autor: | Wout Bittremieux, William Stafford Noble, William E. Fondrie |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Proteomics
Metadata Open science Computer science Benchmarking General Chemistry Python (programming language) Biochemistry Mass Spectrometry Identifier Search Engine Data sharing World Wide Web Chemistry Workflow Data access Data set (IBM mainframe) MIT License Biology computer Software computer.programming_language |
| Zdroj: | Journal of proteome research |
| ISSN: | 1535-3907 1535-3893 |
| DOI: | 10.1021/acs.jproteome.1c00454 |
| Popis: | 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 either be used as 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 dataset 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 |
| Databáze: | OpenAIRE |
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