Differential Abundance Analysis

This tool performs a generalized linear model differential abundance test on samples, or groups of samples defined by metadata. The tool models each feature (e.g., an OTU, an organism or species name or a GO term) as a separate Generalized Linear Model (GLM), where, after performing TMM normalization, it is assumed that abundances follow a Negative Binomial distribution. The Wald test is used to determine significance between group pairs, whereas a Likelihood Ratio test is used in the Across groups (ANOVA-like) comparison. The underlying statistical model is the same as the one used by the Differential Expression for RNA-Seq tool described in details here: https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Differential_Expression.html.

To run the tool:

        Toolbox | Microbial Genomics Module (Image mgm_folder_closed_flat_16_h_p) | Metagenomics (Image wma_folder_open_flat_16_n_p) | Abundance Analysis (Image abundance_folder_closed_16_n_p) | Differential Abundance Analysis (Image differential_abundance_otu_16_n_p)

Select an abundance table with more than one sample as input (e.g., a multi-sample OTU or merged abundance table), and specify if you want to test differential abundance based on metadata defined groups of samples (figure 6.11). It is also possible to correct the results based on a metadata defined group of samples. Finally you can choose whether you want the comparison to be done across groups, between all group pairs or against a control group.

Image diffab1
Figure 6.11: Specify an abundance table and all other parameters.

The tool generates a Venn diagram for three pairwise comparisons at a time (figure 6.12). You can select which comparisons should be shown using the drop down menus in the side panel. Clicking a circle segment in the Venn diagram will select the samples of this segment in the differential abundance analysis table view. The table summarizes abundances, fold changes, differential abundance p-values, multi-sample corrected p-values, etc.

Image diffab2
Figure 6.12: Venn diagram for three comparisons at a time. Selecting a segment will highlight the samples in the differential abundance table opened below in split view.

The values included in the table for each pairwise comparison are:

It is possible to create a subset list of samples using the Create from selection button. As usual, the table can be adjusted with the right hand side panel options: it is possible to adjust the column layout, and select which columns should be included in the table.