Published May 4, 2022 | Version 1.1.0
Dataset Restricted

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, containing both scaffold sequences and annotations, of 226 bacterial isolates obtained from the International Space Station (ISS) during Microbial Tracking-1 flight experiments. These files can be viewed directly in Artemis or IGV. The analysis was performed with Prokka 1.14.5 (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