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Beer Microbiome Meta-Analysis

Meta-Analysis and Visualization of Beer Microbiome Data

Dataset

Steps

1. MGnify Workflow Complete

2. MGnify Workflow After Quality Control

(This workflow is not necessary and was only used because the complete workflow failed at the end. I didn't want to run the whole workflow again.)

3. mapseqToAmpviz and AmpvizLoad Workflow

Data Visualization with Ampvis2

Preparing the Ampvis2 Ready Data

After completing the data preparation workflows, the processed data can be visualized using Ampvis2 tools. Here's how to proceed:

Generating Heatmaps with Ampvis2

  1. Input Data:

    • Ampvis2 RDS Dataset: This is the output from the mapseqToAmpviz and AmpvizLoad workflow.
    • Metadata List (Optional): The metadata list output from the mapseqToAmpviz and AmpvizLoad workflow.
  2. Creating a Heatmap:

    • Tool: Ampvis2 Heatmap Tool
    • Inputs:
      • Ampvis2 RDS Dataset: Select the Ampvis2 RDS dataset output.
      • Metadata List (Optional): Input the metadata list if available.
      • Taxonomic Level: Choose the desired taxonomic level to aggregate the OTUs.
      • Grouping and Faceting: You can group and facet the samples based on values from the metadata list (if provided).

Example Output

For example, using the OTU_ITS_UNITE input aggregated at the species level and grouped by beer type, the resulting heatmap provides a clear visualization of the data.

Sample output can be seen here: Heatmap Preview

By following these steps, you can generate informative heatmaps to visualize the microbiome data from beer samples effectively.

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