ArticleMetabolites2021
The mwtab Python Library for RESTful Access and Enhanced Quality Control, Deposition, and Curation of the Metabolomics Workbench Data Repository.
Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Reviving Data Potential─The Reanalysis-Driven Metabolomics Data Repository MB-POST.Analytical chemistry · 2026Article
- High-Quality Predicted Metabolite-Pathway Annotations Expand Pathway Coverage and Increase Enriched Pathway Detection Across Metabolomics Datasets.Metabolites · 2026Article
- A Major Update and Improved Validation Functionality in the mwtab Python Library and the Metabolomics Workbench File Status Website.Metabolites · 2026Article
- Major Update and Improved Validation Functionality in the mwtab Python Library and the Metabolomics Workbench File Status Website.bioRxiv : the preprint server for biology · 2025Article
- High-Quality Predicted Pathway Annotations Greatly Improve Pathway Enrichment Analysis of Metabolomics Datasets.bioRxiv : the preprint server for biology · 2025Article
- Enabling pan-repository reanalysis for big data science of public metabolomics data.Nature communications · 2025Article
- The Intersection of Metabolomics and Data Science.Metabolites · 2023Article
- The metabolomics workbench file status website: a metadata repository promoting FAIR principles of metabolomics data.BMC bioinformatics · 2023Article
- MESSES: Software for Transforming Messy Research Datasets into Clean Submissions to Metabolomics Workbench for Public Sharing.Metabolites · 2023Article
- A proposed FAIR approach for disseminating geospatial information system maps.Scientific data · 2023Article
- A Case for Accelerating Standards to Achieve the FAIR Principles of Environmental Health Research Experimental Data.Environmental health perspectives · 2023Article
- A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics.Metabolites · 2022Review
- Metabolomics: A Powerful Tool to Understand the Schizophrenia Biology.Advances in experimental medicine and biology · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The Metabolomics Workbench (MW) is a public scientific data repository consisting of experimental data and metadata from metabolomics studies collected with mass spectroscopy (MS) and nuclear magnetic resonance (NMR) analyses. MW has been constantly evolving; updating its 'mwTab' text file format, adding a JavaScript Object Notation (JSON) file format, implementing a REpresentational State Transfer (REST) interface, and nearly quadrupling the number of datasets hosted on the repository within the last three years. In order to keep up with the quickly evolving state of the MW repository, the 'mwtab' Python library and package have been continuously updated to mirror the changes in the 'mwTab' and JSONized formats and contain many new enhancements including methods for interacting with the MW REST interface, enhanced format validation features, and advanced features for parsing and searching for specific metabolite data and metadata. We used the enhanced format validation features to evaluate all available datasets in MW to facilitate improved curation and FAIRness of the repository. The 'mwtab' Python package is now officially released as version 1.0.1 and is freely available on GitHub and the Python Package Index (PyPI) under a Clear Berkeley Software Distribution (BSD) license with documentation available on ReadTheDocs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.