Hey there Gal.Lab'ers,
I'm trying to analyse the metabolic characteristics output by PICRUSt in the Galaxy cluster, using HUMANn and LEfSe. When I run my metabolic outputs (attached) through LEfSe i get no output and a message saying:
"No differentially abundant features found in /home/usr/local/galaxy-dist/database/files/000/251/dataset_251946.dat"
- just like Isabelle.
I'd take this as a sign that there's nothing interesting going on, but I used the sample dataset you give
in your tutorial ('129'; body sites and O2), and (as well as having to remove the O2 levels for a 'string to float' error) I get:
"No differentially abundant features found in /home/usr/local/galaxy-dist/database/files/000/251/dataset_251949.dat"
I understand that having "No differentially abundant features" would produce this error, giving an empty graphical output: but it seems unlikely that my set and the data set you provide would be so lacking in features. Have you any ideas as to where I might be going astray?
Workflow:
1. Get Data> Upload File> FileFormat:Tabular File:04-LEfSe.txt / 129.txt
2. Format...> Vectors:Rows Class:1#NAME / #2ID Subclass:none Subject:none Norm:Yes > Execute
3. LEfSe> all settings at default > Execute
4. PLot..> all settings at default > Execute
-> provides the output as above.
Attached:
- input (metabol from PICRUSt)
- input from tutorial: 129.txt set
Thanks for the help and time
jfg