bioRxivJClub
Revealing the Hidden Landscape of Public Metabolomics Data Reuse in MetaboLights
bioRxiv · · Preprint · Open access
Karaman, Payne + 1 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
MetaboLights MTBLS# datasets show 274 confirmed reuse publications, dominated by Method or Tool Development at 64.6%, with LC-MS linked to 70.1% of reuse cases.
- Why it matters: Metabolomics data reuse has been less systematically quantified than other omics, leaving uncertainty about how public metabolomics resources are actually reused and where gaps remain.
- What they did: A Python pipeline pulled candidate papers from five literature sources using MetaboLights dataset accessions, then manually validated and classified them by reuse type, domain, and modality from dataset metadata.
- The result: Reuse publication counts rose cumulatively over time and reuse was highly asymmetric across datasets, suggesting MetaboLights is especially used for benchmarking-oriented computational method development.
The findingWhy it mattersWhat they didThe result
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