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A curated data resource of 214K metagenomes for characterization of the global resistome

Authors: Martiny, Hannah-Marie; Munk, Patrick; Brinch, Christian; Aarestrup, Frank M.; Petersen, Thomas N.;

A curated data resource of 214K metagenomes for characterization of the global resistome

Abstract

Data files of the curated resource of 214K metagenomes for characterization of the global resistome. We have retrieved 214K metagenomic samples and now share the results here on Zenodo of our large-scale read mapping effort. There are five tables uploaded in three formats (TSV, HDF and MySQL dump): metadata.* : contains metadata for all sequencing runs. ARG.* : contain read alignment counts of antimicrobial resistance genes (ARGs). rRNA.* : contain read alignment counts of 16S/18S rRNA genes.1 diversity.* : contain diversity measures for ARGs and two taxonomic groups of rRNA genes (phylum, genus). ResFinder_anno.* : contain sequence information on the different ARGs, such as gene_lengths, resistance class, etc. Note that the HDF file rRNA.h5 is split into batches of 10,000 rows. To load it, the keys are in the format of "table_{i}", where i=0,1,2,..,4736 Details on the different tables are available at https://hmmartiny.github.io/mARG/ Any further questions or issues, please contact H.-M. Martiny at hanmar@food.dtu.dk

This work has been funded by European Union's Horizon H2020 grant VEO (874735) and the Novo Nordisk Foundation (grant NNF16OC0021856: Global Surveillance of Antimicrobial Resistance)

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Keywords

metagenomics, abundance, compositional data analysis, antimicrobial resistance

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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