Distribution of read abundance. Figure shows the histograms of read abundance per each gene. Each frame represents a sample, superimposing results from the MSS protocol and the ResCap protocol. A square scale was used for the ordinate axis and a logarithmic scale for the abscissa axis to optimize the representation of the data. (PDF 178 kb
Figure S2. Scatterplot of normalization factors for each pair of scaling methods. Normalization fact...
Figure S1. Histograms of Spearman correlations between normalization factors and raw counts of non-d...
Multidimensional scaling analysis of samples from five datasets. Multidimensional scaling of samples...
Gain function plot for each sample. Representation of the gain in reads per kilobase per million rea...
Histogram of gene coverage distribution by hybridizing probes. Two metrics were provided by NimbleGe...
Gene abundance comparison of metal resistance between swine and human samples. Gene abundance was ex...
Proportion of non-amplified PCR reads within each gene (y-axes) as a function of gene rank abundance...
Number of aligned reads to each gene group identified only in enriched samples, by resistance class ...
Proportion of non-PCR amplified reads within the Resistome-UMI dataset as a function of (a) capture ...
Abstract The study of resistomes using whole metagenomic sequencing enables high-throughput...
Data files of the curated resource of 214K metagenomes for characterization of the global resistome...
<p>Relative distribution of reads assigned to three functional subsystems among 27 metagenomes (base...
Blast annotations summary. Summary of the classification steps of assembled genes. The sequential an...
Background: Antimicrobial resistance is a major global health challenge. Metagenomics allows analyzi...
Ranking performance at increasing effect size for the main methods. The effect size (fold change) in...
Figure S2. Scatterplot of normalization factors for each pair of scaling methods. Normalization fact...
Figure S1. Histograms of Spearman correlations between normalization factors and raw counts of non-d...
Multidimensional scaling analysis of samples from five datasets. Multidimensional scaling of samples...
Gain function plot for each sample. Representation of the gain in reads per kilobase per million rea...
Histogram of gene coverage distribution by hybridizing probes. Two metrics were provided by NimbleGe...
Gene abundance comparison of metal resistance between swine and human samples. Gene abundance was ex...
Proportion of non-amplified PCR reads within each gene (y-axes) as a function of gene rank abundance...
Number of aligned reads to each gene group identified only in enriched samples, by resistance class ...
Proportion of non-PCR amplified reads within the Resistome-UMI dataset as a function of (a) capture ...
Abstract The study of resistomes using whole metagenomic sequencing enables high-throughput...
Data files of the curated resource of 214K metagenomes for characterization of the global resistome...
<p>Relative distribution of reads assigned to three functional subsystems among 27 metagenomes (base...
Blast annotations summary. Summary of the classification steps of assembled genes. The sequential an...
Background: Antimicrobial resistance is a major global health challenge. Metagenomics allows analyzi...
Ranking performance at increasing effect size for the main methods. The effect size (fold change) in...
Figure S2. Scatterplot of normalization factors for each pair of scaling methods. Normalization fact...
Figure S1. Histograms of Spearman correlations between normalization factors and raw counts of non-d...
Multidimensional scaling analysis of samples from five datasets. Multidimensional scaling of samples...