metabolomics-workbench-database

You can query the NIH Metabolomics Workbench database using this skill to access the REST API, retrieving study metadata, experimental results, and metabolite structures for biomarker discovery.

Yes, you can perform mass spectrometry searches by querying specific m/z values and adducts against the database to identify unknown compounds and retrieve matching metabolite structures.

RefMet is a standardized nomenclature system used in metabolomics research to classify and unify metabolite names. This skill leverages RefMet to ensure consistent metabolite identification across studies.

You can query the database for specific metabolites like glucose to identify relevant studies, retrieve their summary data, and access associated biological and experimental results from over 4,200 studies.

Yes, the API supports biomarker discovery by enabling programmatic access to diverse biological and analytical data, allowing researchers to integrate study metadata and experimental results into their analysis pipelines.

This skill provides intermediate-level programmatic access to the REST API. Users should be aware that complex multi-step reasoning or advanced transformations are not built-in, requiring external processing for deep analysis.