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

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Visual examples of the change in maximum height measure. by Teagan McMahon (20108036)

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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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Parameter estimates from the final models for <i>M</i>. <i>mercenaria</i> & <i>M</i>. <i>arenaria</i> mortality. by Teagan McMahon (20108036)

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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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Reproducibility of response time and brain measures. by Jan Willem Koten (17743224)

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Image 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif 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. …”

Image 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif 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. …”

Image 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif 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. …”

Image 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif 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. …”

Relative quantification of <i>mip</i> transcript levels in different developmental stages (A) and tissues (B) of brown planthopper. by Yi-Jie Zhang (713506)