Views provided by UsageCounts
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.
{"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"]}
The code use for the analysis is available at https://github.com/pmb59/AMRISS
Microbial Tracking-1, ISS, GFF3, Metagenomics, Microbiome, Spaceflight
Microbial Tracking-1, ISS, GFF3, Metagenomics, Microbiome, Spaceflight
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 4 |

Views provided by UsageCounts