GlycoPOST
GlycoPOST provides a FAIR-compliant repository for raw glycomics mass spectrometry (MS) data to support reproducibility and data sharing in glycomics research.
Key Features:
- FAIR Compliance: Implements Findable, Accessible, Interoperable, and Re-usable principles for glycomics MS datasets.
- Raw MS Data Repository: Centralizes deposition and storage of raw mass spectrometry data from glycomics experiments.
- Vendor-Neutral Format: Accepts raw MS data irrespective of vendor-specific formats.
- Interoperability: Accommodates multiple data formats to enable integration with other bioinformatics tools and databases.
- Reproducibility and Sustainability: Preserves primary raw datasets to support reproducibility and long-term sustainability of glycomics research.
Scientific Applications:
- Data Sharing and Collaboration: Enables sharing of raw glycomics MS datasets among researchers and institutions.
- Validation and Reanalysis: Allows independent validation and reanalysis of published glycomics MS results using original raw data.
- Meta-analysis: Facilitates aggregation of raw datasets for cross-study meta-analyses in glycomics.
- Hypothesis Generation: Supports development of new hypotheses based on re-examination of existing glycomics MS datasets.
Methodology:
Accepts vendor-neutral raw MS data and accommodates multiple data formats to support interoperability with other bioinformatics tools and databases while operating under FAIR principles.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 1/23/2021
Operations
Publications
Watanabe Y, Aoki-Kinoshita KF, Ishihama Y, Okuda S. GlycoPOST realizes FAIR principles for glycomics mass spectrometry data. Nucleic Acids Research. 2020;49(D1):D1523-D1528. doi:10.1093/nar/gkaa1012. PMID:33174597. PMCID:PMC7778884.
DOI: 10.1093/NAR/GKAA1012
PMID: 33174597
Funding: - Japan Science and Technology Agency: 17934031, 18063028