Hi SEQanswer community,
I am trying to combine the two different views of Taxonomy and Functional (KEGG and SEED) annotation using MEGAN. I followed the suggestion provided here by Mina. However, the size of my metagenomes is making a tedious task to get the Taxonomy (i.e., "read_id,taxa-path") and Function (i.e., "KEGG/SEED-path, read(s)_id") using Mina's suggestion and then combine those two gigantic files by their read_id with Python.
So, I wondering if someone has a different approach to link the taxa and functional profiles. For example, I'd like to know the taxa distribution within the carbohydrate metabolism (KEGG->Metabolism->Carbohydrate Metabolism). I really appreciate any comment(s) or suggestion(s)!
Thanks,
--
Will
I am trying to combine the two different views of Taxonomy and Functional (KEGG and SEED) annotation using MEGAN. I followed the suggestion provided here by Mina. However, the size of my metagenomes is making a tedious task to get the Taxonomy (i.e., "read_id,taxa-path") and Function (i.e., "KEGG/SEED-path, read(s)_id") using Mina's suggestion and then combine those two gigantic files by their read_id with Python.
So, I wondering if someone has a different approach to link the taxa and functional profiles. For example, I'd like to know the taxa distribution within the carbohydrate metabolism (KEGG->Metabolism->Carbohydrate Metabolism). I really appreciate any comment(s) or suggestion(s)!
Thanks,
--
Will
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