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MicroMacS


 

MicroMacS provides the missing link between sequence data and peer-reviewed scientific articles. MicroMacS will be a publicly available, modular pipeline that will link articles to sequence data by text parsing, using AI to extract experimental metadata, and perform basic sequence quality checks, enabling users to easily assess dataset reusability, increasing interoperability, and enriching existing metadata.


 

MicroMacS provides the missing link between sequence data and peer-reviewed scientific articles. MicroMacS will be a publicly available, modular pipeline that will link articles to sequence data by text parsing, using AI to extract experimental metadata, and perform basic sequence quality checks, enabling users to easily assess dataset reusability, increasing interoperability, and enriching existing metadata.

Contact

Michael Schloter

Prof. Dr. rer. nat. habil. Michael Schloter

Head of the Research Unit Comparative Microbiome Analysis

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