Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In another experimental setting with tulathromycin treatment, bacterial abundance quantification by flow cytometry and by a spike-in method yielded similar results only on the phylum level. Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”

Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In another experimental setting with tulathromycin treatment, bacterial abundance quantification by flow cytometry and by a spike-in method yielded similar results only on the phylum level. Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”

Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In another experimental setting with tulathromycin treatment, bacterial abundance quantification by flow cytometry and by a spike-in method yielded similar results only on the phylum level. Even though the spike-in method identified the decrease of four genera, analysis by fluorescence-activated cell sorting (FACS) uncovered eight significantly reduced genera, such as Prevotella and Paraprevotella upon antibiotic treatment. …”

The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

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The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

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The principal component analysis (PCA) plot utilized in the quality assurance process. by Bhuripit Saraphol (20855573)

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Diversity of the fecal microbiome in normal and thin cows according to 16S rRNA gene sequencing data. by Bhuripit Saraphol (20855573)

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The numbers of normal and thin cows from each farm. by Bhuripit Saraphol (20855573)

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Multivariate and clustering analysis of metabolomic data. by Bhuripit Saraphol (20855573)

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Results of the pathway analysis performed using the STITCH bioinformatics tool. by Bhuripit Saraphol (20855573)

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Raw metabolomic data. by Bhuripit Saraphol (20855573)

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Stacked bar plots illustrating the relative abundance distribution of fecal microbial communities in thin and normal cows. by Bhuripit Saraphol (20855573)

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Schematic diagram of the experimental workflow. by Bhuripit Saraphol (20855573)

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Effect of sample size on reproducibility. by Jan Willem Koten (17743224)

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Effect of corrections on connectivity maps. by Jan Willem Koten (17743224)

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Impact of corrections on connectivity. by Jan Willem Koten (17743224)

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S1 Data - by Jan Willem Koten (17743224)

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Connectivity statistics. by Jan Willem Koten (17743224)

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Hypothetical versus random connectomes. by Jan Willem Koten (17743224)

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Thresholds and group reproducibility. by Jan Willem Koten (17743224)

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