Dear all,
I have recently started analyzing my data with PICRUST for KEGG ORTHOLOG and PATHWAY predictions.
I have processed my data as follows:
--Open reference OTU picking using QIIME
--Filtering OTUs to create close reference biom table
--Normalizing the above biom table for 16s copy number
Then, I use this ormalized table for the following commands:
predict_metagenomes.py -i otus_corrected.biom -o ko_predictions.biom
biom convert -i ko_predictions.biom -o ko_predictions.txt --to-tsv --header-key KEGG_Description
categorize_by_function.py -i ko_predictions.biom -c KEGG_Pathways -l 3 -o pathway_predictions.biom
biom convert -i pathway_predictions.biom -o pathway_predictions.txt --to-tsv --header-key KEGG_Pathways
I get two text files KO_predictions.txt and pathway_predictions.txt
I have attached sample screenshots of my tables here
I am a little confused regarding the interpretation of the values given in these tables.
For instance, in KO/pathway predictions, do numbers indicate total number of genes which correspond to a particular protein/pathway or something else?
I tried to read about it, but could not get the exact answer
Sorry for such a basic question!
Thank you,
Kruttika