omu, a Metabolomics Count Data Analysis Tool for Intuitive Figures and Convenient Metadata Collection | Zendy

Connor R. Tiffany | Zendy; Andreas J. Bäumler | Zendy

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omu, a Metabolomics Count Data Analysis Tool for Intuitive Figures and Convenient Metadata Collection

Author(s) -

Connor R. Tiffany,

Andreas J. Bäumler

Publication year - 2019

Publication title -

microbiology resource announcements

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.383

H-Index - 35

ISSN - 2576-098X

DOI - 10.1128/mra.00129-19

Subject(s) - metadata , workflow , identification (biology) , computer science , metabolomics , annotation , computational biology , information retrieval , bioinformatics , biology , world wide web , database , ecology , artificial intelligence

Metabolomics is a powerful tool for measuring the functional output of the microbiota. Currently, there are few established workflows for analysis downstream of metabolite identification. Here, we introduce omu, an R package designed for assigning compound hierarchies and linking compounds to corresponding enzyme and gene annotations for organisms of interest.

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