In catalytic sciences, as in all scientific fields, we face a rapidly increasing volume and complexity of research data, which are a challenge for analysis and reuse. A team has introduced EnzymeML as a data exchange format. EnzyemML serves as a format to comprehensively report the results of an enzymatic experiment and stores the data in a structured way and makes it traceable and reusable.
source https://www.sciencedaily.com/releases/2023/02/230213120718.htm
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