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Mass spectrometry data is at the heart of numerous applications in the biomedical and life sciences. With growing use of high-throughput techniques, researchers need to analyze larger and more complex datasets. In particular through joint effort in the research community, fragmentation mass spectrometry datasets are growing in size and number. Platforms such as MassBank Without suitable tools, however, exploitation of such datasets remains overly challenging. In particular, large collected datasets contain data acquired using different instruments and measurement conditions, and can further contain a significant fraction of inconsistent, wrongly labeled, or incorrect metadata (annotations).
Huber et al. (Mon,) studied this question.
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