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Published May 3, 2022 | Version 1.0.0
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Genome annotations of bacterial scaffold sequences obtained from surfaces of the International Space Station

Authors/Creators

  • 1. EMBL-EBI, UK

Contributors

  • 1. Jet Propulsion Laboratory, USA
  • 2. Department of Artificial Intelligence, UNED, Spain
  • 3. Weill Cornell Medical College, USA
  • 4. NASA Ames Research Center, USA

Description

Master annotations in GFF3 format of 226 bacterial isolates obtained from the International Space Station (ISS) during Microbial Tracking-1 flight experiments. The analysis was performed with Prokka v1.14.5 (Seemann, 2014). Raw sequencing data and sequence assemblies in FASTA format can be downloaded from the NASA GeneLab repository https://genelab.nasa.gov, the first comprehensive space-related omics database.

Notes

The code use for the analysis is available at https://github.com/pmb59/AMRISS

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Additional details

References

  • Madrigal P, et al. Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome. Microbiome 10, 134 (2022). https://doi.org/10.1186/s40168-022-01332-w