Analyzing PICRUSt predicted metagenomes¶
Once you have your PICRUSt metagenome predictions (see Metagenome Prediction Tutorial), you can analyze your predicted metagenomes as you would analyze actual metagenomes.
Here are some recommendations using both PICRUSt commands and other external tools:
Collapse predictions into pathways¶
- Collapse the thousands of predicted functions into higher categories (e.g KOs into KEGG Pathways).
- See PICRUSt’s categorize_by_function.py.
Determine which OTUs are contributing to particular functions¶
- Identify which OTUs are contributing which functions .
- See PICRUSt’s metagenome_contributions.py.