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[yvbaeza@class07 qiime-tutorial]$ sh -xe commands.sh | |
+ module load qiime | |
++ /bioware/modulecmd//Modules/3.2.6/bin/modulecmd bash load qiime | |
+ eval | |
+ validate_mapping_file.py -m map.tsv -o validated | |
Errors and/or warnings detected in mapping file. Please check the log and html file for details. | |
real 0m2.034s | |
user 0m1.179s | |
sys 0m0.212s | |
+ filter_otus_from_otu_table.py -i otu_table.biom -o filtered-table.biom -n 25 | |
real 0m2.055s | |
user 0m1.453s | |
sys 0m0.239s | |
+ single_rarefaction.py -i filtered-table.biom -o filtered-table.even1000.biom -d 1000 | |
real 0m1.962s | |
user 0m1.357s | |
sys 0m0.234s | |
+ summarize_taxa_through_plots.py -i filtered-table.even1000.biom -o taxa_summaries/ | |
real 1m3.291s | |
user 0m59.079s | |
sys 0m2.515s | |
+ alpha_diversity.py -i filtered-table.even1000.biom -o alpha.txt -t 97_otus.tree | |
real 0m18.253s | |
user 0m17.226s | |
sys 0m0.379s | |
+ add_alpha_to_mapping_file.py -i alpha.txt -m map.tsv -o map.alpha.tsv | |
real 0m1.628s | |
user 0m1.087s | |
sys 0m0.195s | |
+ beta_diversity_through_plots.py -i filtered-table.even1000.biom -m map.alpha.tsv -o beta -t 97_otus.tree | |
/class/stamps-software/miniconda/lib/python2.7/site-packages/skbio/stats/ordination/_principal_coordinate_analysis.py:107: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.0343282674844 and the largest is 5.68842937733. | |
RuntimeWarning | |
/class/stamps-software/miniconda/lib/python2.7/site-packages/skbio/stats/ordination/_principal_coordinate_analysis.py:107: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.00220993891902 and the largest is 2.91800120783. | |
RuntimeWarning | |
real 0m45.436s | |
user 0m39.500s | |
sys 0m1.835s | |
+ group_significance.py -i filtered-table.even1000.biom -m map.tsv -c sample_type -o gs_sampletype.txt | |
real 0m2.227s | |
user 0m1.677s | |
sys 0m0.177s | |
+ differential_abundance.py -i otu_table.biom -o diff_otus.txt -m map.tsv -a DESeq2_nbinom -c sample_type -x gut -y tongue -d | |
real 0m47.770s | |
user 0m46.579s | |
sys 0m0.652s |
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