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Automation and Effective Data Sharing for Metabolite Identification

Metabolite Identification Made Easy with Automation and Data Handling

Metabolite-identification scientists must collect information from disparate sources: biotransformation predictors, chemical structures, and analytical data from actual experiments. Complicating matters further, the analytical data is often collected from many instruments and in many incompatible formats.

To help scientists gather everything they need to make decisions, MetaSense® provides a metabolite-identification platform that collects information across instrument vendors and from all project stages. By seeing raw data alongside predicted metabolites, processed results, biotransformation maps, and kinetic plots, scientists can easily grasp the scope of an entire biotransformation study.

Whitepaper - Automation and Effective Data Sharing for Metabolite Identification