HIGHLIGHTS
- who: Pedro Madrigal from the Bioinformatics Institute, EMBL-EBI, Hinxton , SD, UK have published the Article: Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome, in the Journal: (JOURNAL)
- what: The aim of this study was to identify the AMR genes associated with whole genomes of 226 cultivable strains 21 shotgun metagenome sequences and 24 MAGs retrieved from the ISS environmental samples that were treated with propidium monoazide (PMA; viable microbes). Part of the research described in this manuscript was performed at the Jet Propulsion Laboratory, California Institute of . . .
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