sdrf-pipelines
sdrf-pipelines validates and converts Sample Description Format (SDRF) files into workflow configuration files for MSstats, OpenMS, and MaxQuant and supports mzIdentML, mzML, and mzTab formats to standardize sample-to-data file metadata.
Key Features:
- Metadata validation and conversion: Validates SDRF files for metadata completeness and accuracy and converts them as part of the standardization process.
- Workflow configuration generation: Produces configuration files tailored for MSstats, OpenMS, and MaxQuant from validated SDRF metadata.
- Support for standard proteomics formats: Handles and preserves references to mzIdentML, mzML, and mzTab file formats during conversion.
- Sample-to-data file metadata standardization: Emphasizes capture and standardization of sample-to-data file relationships to improve dataset interoperability.
Scientific Applications:
- Reproducibility and reanalysis: Enables more reproducible proteomics analyses and facilitates reanalysis by ensuring sample-to-data file metadata are complete and machine-readable.
- Standards development and community adoption: Supports European Bioinformatics Community for Mass Spectrometry (EuBIC) efforts toward a standardized sample metadata format (PMID: 32786688).
Methodology:
Validation of metadata completeness, with emphasis on sample-to-data file information, and conversion of validated SDRF files into workflow-specific configuration files.
Topics
Details
- License:
- Apache-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 2/11/2022
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Conversion
Outputs
Other operations do not define inputs or outputs.
Publications
Perez-Riverol Y. Toward a Sample Metadata Standard in Public Proteomics Repositories. Journal of Proteome Research. 2020;19(10):3906-3909. doi:10.1021/acs.jproteome.0c00376. PMID:32786688. PMCID:PMC7116434.