Logging started at 13:33:01 on 24 Apr 2017 QIIME version: 1.9.1 qiime_config values: blastmat_dir /qiime_software/blast-2.2.22-release/data pick_otus_reference_seqs_fp /usr/local/lib/python2.7/dist-packages/qiime_default_reference/gg_13_8_otus/rep_set/97_otus.fasta sc_queue all.q pynast_template_alignment_fp /usr/local/lib/python2.7/dist-packages/qiime_default_reference/gg_13_8_otus/rep_set_aligned/85_otus.pynast.fasta cluster_jobs_fp start_parallel_jobs.py assign_taxonomy_reference_seqs_fp /usr/local/lib/python2.7/dist-packages/qiime_default_reference/gg_13_8_otus/rep_set/97_otus.fasta torque_queue friendlyq jobs_to_start 1 denoiser_min_per_core 50 assign_taxonomy_id_to_taxonomy_fp /usr/local/lib/python2.7/dist-packages/qiime_default_reference/gg_13_8_otus/taxonomy/97_otu_taxonomy.txt temp_dir /tmp/ blastall_fp /qiime_software/blast-2.2.22-release/bin/blastall seconds_to_sleep 1 parameter file values: alpha_diversity:metrics berger_parker_d,brillouin_d,chao1,chao1_ci,dominance,doubles,enspie,equitability,esty_ci,fisher_alpha,gini_index,goods_coverage,heip_e,kempton_taylor_q,margalef,mcintosh_d,mcintosh_e,menhinick,observed_otus,observed_species,osd,simpson_reciprocal,robbins,shannon,simpson,simpson_e,singles,strong,PD_whole_tree beta_diversity:metrics abund_jaccard,binary_chisq,binary_chord,binary_euclidean,binary_hamming,binary_jaccard,binary_lennon,binary_ochiai,binary_pearson,binary_sorensen_dice,bray_curtis,bray_curtis_faith,bray_curtis_magurran,canberra,chisq,chord,euclidean,gower,hellinger,kulczynski,manhattan,morisita_horn,pearson,soergel,spearman_approx,specprof,unifrac,unweighted_unifrac,unweighted_unifrac_full_tree,weighted_normalized_unifrac,weighted_unifrac summarize_taxa:level 2,3,4,5,6,7 parallel:jobs_to_start 1 filter_samples_from_otu_table:min_count 500 plot_taxa_summary:labels Phylum,Class,Order,Family,Genus,Species plot_taxa_summary:chart_type bar,area,pie core_diversity_analyses:categories Perio Input file md5 sums: qiime_results/data_mc100/final_otu_map_mc100_tax.biom: a685d7eea6e347ad4dee210bbde26e74 meta.txt: 71351ad21349a3ed170050a946d1b357 qiime_results/data_mc100/rep_set_mc100.tre: 46e43e2e6899734aee778cf8b009b9d2 Executing commands. # Generate BIOM table summary command biom summarize-table -i qiime_results/data_mc100/final_otu_map_mc100_tax.biom -o qiime_results/cd_mc100/biom_table_summary.txt Stdout: Stderr: # Filter low sequence count samples from table (minimum sequence count: 511) command filter_samples_from_otu_table.py -i qiime_results/data_mc100/final_otu_map_mc100_tax.biom -o qiime_results/cd_mc100/table_mc511.biom -n 511 Stdout: Stderr: # Rarify the OTU table to 511 sequences/sample command single_rarefaction.py -i qiime_results/cd_mc100/table_mc511.biom -o qiime_results/cd_mc100/table_even511.biom -d 511 Stdout: Stderr: Executing commands. # Beta Diversity (abund_jaccard) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics abund_jaccard -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (abund_jaccard) command mv qiime_results/cd_mc100/bdiv_even511//abund_jaccard_table_even511.txt qiime_results/cd_mc100/bdiv_even511//abund_jaccard_dm.txt Stdout: Stderr: # Principal coordinates (abund_jaccard) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//abund_jaccard_dm.txt -o qiime_results/cd_mc100/bdiv_even511//abund_jaccard_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.339422573536 and the largest is 1.96396799032. RuntimeWarning # Make emperor plots, abund_jaccard) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//abund_jaccard_pc.txt -o qiime_results/cd_mc100/bdiv_even511//abund_jaccard_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (binary_chisq) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics binary_chisq -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (binary_chisq) command mv qiime_results/cd_mc100/bdiv_even511//binary_chisq_table_even511.txt qiime_results/cd_mc100/bdiv_even511//binary_chisq_dm.txt Stdout: Stderr: # Principal coordinates (binary_chisq) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//binary_chisq_dm.txt -o qiime_results/cd_mc100/bdiv_even511//binary_chisq_pc.txt Stdout: Stderr: # Make emperor plots, binary_chisq) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//binary_chisq_pc.txt -o qiime_results/cd_mc100/bdiv_even511//binary_chisq_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (binary_chord) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics binary_chord -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (binary_chord) command mv qiime_results/cd_mc100/bdiv_even511//binary_chord_table_even511.txt qiime_results/cd_mc100/bdiv_even511//binary_chord_dm.txt Stdout: Stderr: # Principal coordinates (binary_chord) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//binary_chord_dm.txt -o qiime_results/cd_mc100/bdiv_even511//binary_chord_pc.txt Stdout: Stderr: # Make emperor plots, binary_chord) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//binary_chord_pc.txt -o qiime_results/cd_mc100/bdiv_even511//binary_chord_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (binary_euclidean) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics binary_euclidean -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (binary_euclidean) command mv qiime_results/cd_mc100/bdiv_even511//binary_euclidean_table_even511.txt qiime_results/cd_mc100/bdiv_even511//binary_euclidean_dm.txt Stdout: Stderr: # Principal coordinates (binary_euclidean) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//binary_euclidean_dm.txt -o qiime_results/cd_mc100/bdiv_even511//binary_euclidean_pc.txt Stdout: Stderr: # Make emperor plots, binary_euclidean) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//binary_euclidean_pc.txt -o qiime_results/cd_mc100/bdiv_even511//binary_euclidean_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (binary_hamming) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics binary_hamming -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (binary_hamming) command mv qiime_results/cd_mc100/bdiv_even511//binary_hamming_table_even511.txt qiime_results/cd_mc100/bdiv_even511//binary_hamming_dm.txt Stdout: Stderr: # Principal coordinates (binary_hamming) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//binary_hamming_dm.txt -o qiime_results/cd_mc100/bdiv_even511//binary_hamming_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -516.031600941 and the largest is 6601.68939165. RuntimeWarning # Make emperor plots, binary_hamming) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//binary_hamming_pc.txt -o qiime_results/cd_mc100/bdiv_even511//binary_hamming_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (binary_jaccard) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics binary_jaccard -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (binary_jaccard) command mv qiime_results/cd_mc100/bdiv_even511//binary_jaccard_table_even511.txt qiime_results/cd_mc100/bdiv_even511//binary_jaccard_dm.txt Stdout: Stderr: # Principal coordinates (binary_jaccard) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//binary_jaccard_dm.txt -o qiime_results/cd_mc100/bdiv_even511//binary_jaccard_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0302920925241 and the largest is 1.34359444853. RuntimeWarning # Make emperor plots, binary_jaccard) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//binary_jaccard_pc.txt -o qiime_results/cd_mc100/bdiv_even511//binary_jaccard_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (binary_lennon) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics binary_lennon -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (binary_lennon) command mv qiime_results/cd_mc100/bdiv_even511//binary_lennon_table_even511.txt qiime_results/cd_mc100/bdiv_even511//binary_lennon_dm.txt Stdout: Stderr: # Principal coordinates (binary_lennon) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//binary_lennon_dm.txt -o qiime_results/cd_mc100/bdiv_even511//binary_lennon_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.352863541485 and the largest is 0.895767707555. RuntimeWarning # Make emperor plots, binary_lennon) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//binary_lennon_pc.txt -o qiime_results/cd_mc100/bdiv_even511//binary_lennon_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (binary_ochiai) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics binary_ochiai -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (binary_ochiai) command mv qiime_results/cd_mc100/bdiv_even511//binary_ochiai_table_even511.txt qiime_results/cd_mc100/bdiv_even511//binary_ochiai_dm.txt Stdout: Stderr: # Principal coordinates (binary_ochiai) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//binary_ochiai_dm.txt -o qiime_results/cd_mc100/bdiv_even511//binary_ochiai_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0754362413387 and the largest is 0.976891350319. RuntimeWarning # Make emperor plots, binary_ochiai) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//binary_ochiai_pc.txt -o qiime_results/cd_mc100/bdiv_even511//binary_ochiai_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (binary_pearson) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics binary_pearson -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (binary_pearson) command mv qiime_results/cd_mc100/bdiv_even511//binary_pearson_table_even511.txt qiime_results/cd_mc100/bdiv_even511//binary_pearson_dm.txt Stdout: Stderr: # Principal coordinates (binary_pearson) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//binary_pearson_dm.txt -o qiime_results/cd_mc100/bdiv_even511//binary_pearson_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.267975389178 and the largest is 3.6254750296. RuntimeWarning # Make emperor plots, binary_pearson) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//binary_pearson_pc.txt -o qiime_results/cd_mc100/bdiv_even511//binary_pearson_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (binary_sorensen_dice) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics binary_sorensen_dice -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (binary_sorensen_dice) command mv qiime_results/cd_mc100/bdiv_even511//binary_sorensen_dice_table_even511.txt qiime_results/cd_mc100/bdiv_even511//binary_sorensen_dice_dm.txt Stdout: Stderr: # Principal coordinates (binary_sorensen_dice) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//binary_sorensen_dice_dm.txt -o qiime_results/cd_mc100/bdiv_even511//binary_sorensen_dice_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0741498176516 and the largest is 0.983610799383. RuntimeWarning # Make emperor plots, binary_sorensen_dice) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//binary_sorensen_dice_pc.txt -o qiime_results/cd_mc100/bdiv_even511//binary_sorensen_dice_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (bray_curtis) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics bray_curtis -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (bray_curtis) command mv qiime_results/cd_mc100/bdiv_even511//bray_curtis_table_even511.txt qiime_results/cd_mc100/bdiv_even511//bray_curtis_dm.txt Stdout: Stderr: # Principal coordinates (bray_curtis) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//bray_curtis_dm.txt -o qiime_results/cd_mc100/bdiv_even511//bray_curtis_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0626246861907 and the largest is 2.1922617275. RuntimeWarning # Make emperor plots, bray_curtis) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//bray_curtis_pc.txt -o qiime_results/cd_mc100/bdiv_even511//bray_curtis_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (bray_curtis_faith) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics bray_curtis_faith -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (bray_curtis_faith) command mv qiime_results/cd_mc100/bdiv_even511//bray_curtis_faith_table_even511.txt qiime_results/cd_mc100/bdiv_even511//bray_curtis_faith_dm.txt Stdout: Stderr: # Principal coordinates (bray_curtis_faith) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//bray_curtis_faith_dm.txt -o qiime_results/cd_mc100/bdiv_even511//bray_curtis_faith_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0626246861907 and the largest is 2.1922617275. RuntimeWarning # Make emperor plots, bray_curtis_faith) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//bray_curtis_faith_pc.txt -o qiime_results/cd_mc100/bdiv_even511//bray_curtis_faith_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (bray_curtis_magurran) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics bray_curtis_magurran -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (bray_curtis_magurran) command mv qiime_results/cd_mc100/bdiv_even511//bray_curtis_magurran_table_even511.txt qiime_results/cd_mc100/bdiv_even511//bray_curtis_magurran_dm.txt Stdout: Stderr: # Principal coordinates (bray_curtis_magurran) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//bray_curtis_magurran_dm.txt -o qiime_results/cd_mc100/bdiv_even511//bray_curtis_magurran_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0626246861907 and the largest is 2.1922617275. RuntimeWarning # Make emperor plots, bray_curtis_magurran) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//bray_curtis_magurran_pc.txt -o qiime_results/cd_mc100/bdiv_even511//bray_curtis_magurran_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (canberra) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics canberra -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (canberra) command mv qiime_results/cd_mc100/bdiv_even511//canberra_table_even511.txt qiime_results/cd_mc100/bdiv_even511//canberra_dm.txt Stdout: Stderr: # Principal coordinates (canberra) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//canberra_dm.txt -o qiime_results/cd_mc100/bdiv_even511//canberra_pc.txt Stdout: Stderr: # Make emperor plots, canberra) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//canberra_pc.txt -o qiime_results/cd_mc100/bdiv_even511//canberra_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (chisq) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics chisq -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (chisq) command mv qiime_results/cd_mc100/bdiv_even511//chisq_table_even511.txt qiime_results/cd_mc100/bdiv_even511//chisq_dm.txt Stdout: Stderr: # Principal coordinates (chisq) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//chisq_dm.txt -o qiime_results/cd_mc100/bdiv_even511//chisq_pc.txt Stdout: Stderr: # Make emperor plots, chisq) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//chisq_pc.txt -o qiime_results/cd_mc100/bdiv_even511//chisq_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (chord) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics chord -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (chord) command mv qiime_results/cd_mc100/bdiv_even511//chord_table_even511.txt qiime_results/cd_mc100/bdiv_even511//chord_dm.txt Stdout: Stderr: # Principal coordinates (chord) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//chord_dm.txt -o qiime_results/cd_mc100/bdiv_even511//chord_pc.txt Stdout: Stderr: # Make emperor plots, chord) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//chord_pc.txt -o qiime_results/cd_mc100/bdiv_even511//chord_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (euclidean) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics euclidean -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (euclidean) command mv qiime_results/cd_mc100/bdiv_even511//euclidean_table_even511.txt qiime_results/cd_mc100/bdiv_even511//euclidean_dm.txt Stdout: Stderr: # Principal coordinates (euclidean) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//euclidean_dm.txt -o qiime_results/cd_mc100/bdiv_even511//euclidean_pc.txt Stdout: Stderr: # Make emperor plots, euclidean) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//euclidean_pc.txt -o qiime_results/cd_mc100/bdiv_even511//euclidean_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (gower) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics gower -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (gower) command mv qiime_results/cd_mc100/bdiv_even511//gower_table_even511.txt qiime_results/cd_mc100/bdiv_even511//gower_dm.txt Stdout: Stderr: # Principal coordinates (gower) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//gower_dm.txt -o qiime_results/cd_mc100/bdiv_even511//gower_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -20.4524020204 and the largest is 1064.6609653. RuntimeWarning # Make emperor plots, gower) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//gower_pc.txt -o qiime_results/cd_mc100/bdiv_even511//gower_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (hellinger) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics hellinger -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (hellinger) command mv qiime_results/cd_mc100/bdiv_even511//hellinger_table_even511.txt qiime_results/cd_mc100/bdiv_even511//hellinger_dm.txt Stdout: Stderr: # Principal coordinates (hellinger) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//hellinger_dm.txt -o qiime_results/cd_mc100/bdiv_even511//hellinger_pc.txt Stdout: Stderr: # Make emperor plots, hellinger) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//hellinger_pc.txt -o qiime_results/cd_mc100/bdiv_even511//hellinger_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (kulczynski) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics kulczynski -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (kulczynski) command mv qiime_results/cd_mc100/bdiv_even511//kulczynski_table_even511.txt qiime_results/cd_mc100/bdiv_even511//kulczynski_dm.txt Stdout: Stderr: # Principal coordinates (kulczynski) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//kulczynski_dm.txt -o qiime_results/cd_mc100/bdiv_even511//kulczynski_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0626246861907 and the largest is 2.1922617275. RuntimeWarning # Make emperor plots, kulczynski) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//kulczynski_pc.txt -o qiime_results/cd_mc100/bdiv_even511//kulczynski_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (manhattan) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics manhattan -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (manhattan) command mv qiime_results/cd_mc100/bdiv_even511//manhattan_table_even511.txt qiime_results/cd_mc100/bdiv_even511//manhattan_dm.txt Stdout: Stderr: # Principal coordinates (manhattan) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//manhattan_dm.txt -o qiime_results/cd_mc100/bdiv_even511//manhattan_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -65410.4827314 and the largest is 2289782.29819. RuntimeWarning # Make emperor plots, manhattan) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//manhattan_pc.txt -o qiime_results/cd_mc100/bdiv_even511//manhattan_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (morisita_horn) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics morisita_horn -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (morisita_horn) command mv qiime_results/cd_mc100/bdiv_even511//morisita_horn_table_even511.txt qiime_results/cd_mc100/bdiv_even511//morisita_horn_dm.txt Stdout: Stderr: # Principal coordinates (morisita_horn) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//morisita_horn_dm.txt -o qiime_results/cd_mc100/bdiv_even511//morisita_horn_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.188930877239 and the largest is 3.07731201741. RuntimeWarning # Make emperor plots, morisita_horn) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//morisita_horn_pc.txt -o qiime_results/cd_mc100/bdiv_even511//morisita_horn_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (pearson) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics pearson -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (pearson) command mv qiime_results/cd_mc100/bdiv_even511//pearson_table_even511.txt qiime_results/cd_mc100/bdiv_even511//pearson_dm.txt Stdout: Stderr: # Principal coordinates (pearson) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//pearson_dm.txt -o qiime_results/cd_mc100/bdiv_even511//pearson_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.318218470115 and the largest is 3.68602358847. RuntimeWarning # Make emperor plots, pearson) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//pearson_pc.txt -o qiime_results/cd_mc100/bdiv_even511//pearson_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (soergel) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics soergel -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (soergel) command mv qiime_results/cd_mc100/bdiv_even511//soergel_table_even511.txt qiime_results/cd_mc100/bdiv_even511//soergel_dm.txt Stdout: Stderr: # Principal coordinates (soergel) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//soergel_dm.txt -o qiime_results/cd_mc100/bdiv_even511//soergel_pc.txt Stdout: Stderr: # Make emperor plots, soergel) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//soergel_pc.txt -o qiime_results/cd_mc100/bdiv_even511//soergel_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (spearman_approx) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics spearman_approx -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (spearman_approx) command mv qiime_results/cd_mc100/bdiv_even511//spearman_approx_table_even511.txt qiime_results/cd_mc100/bdiv_even511//spearman_approx_dm.txt Stdout: Stderr: # Principal coordinates (spearman_approx) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//spearman_approx_dm.txt -o qiime_results/cd_mc100/bdiv_even511//spearman_approx_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.207846674688 and the largest is 2.8074836124. RuntimeWarning # Make emperor plots, spearman_approx) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//spearman_approx_pc.txt -o qiime_results/cd_mc100/bdiv_even511//spearman_approx_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (specprof) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics specprof -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`. VisibleDeprecationWarning) # Rename distance matrix (specprof) command mv qiime_results/cd_mc100/bdiv_even511//specprof_table_even511.txt qiime_results/cd_mc100/bdiv_even511//specprof_dm.txt Stdout: Stderr: # Principal coordinates (specprof) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//specprof_dm.txt -o qiime_results/cd_mc100/bdiv_even511//specprof_pc.txt Stdout: Stderr: # Make emperor plots, specprof) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//specprof_pc.txt -o qiime_results/cd_mc100/bdiv_even511//specprof_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (unifrac) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics unifrac -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: # Rename distance matrix (unifrac) command mv qiime_results/cd_mc100/bdiv_even511//unifrac_table_even511.txt qiime_results/cd_mc100/bdiv_even511//unifrac_dm.txt Stdout: Stderr: # Principal coordinates (unifrac) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//unifrac_dm.txt -o qiime_results/cd_mc100/bdiv_even511//unifrac_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0269588306596 and the largest is 0.39520336257. RuntimeWarning # Make emperor plots, unifrac) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//unifrac_pc.txt -o qiime_results/cd_mc100/bdiv_even511//unifrac_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (unweighted_unifrac) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics unweighted_unifrac -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: # Rename distance matrix (unweighted_unifrac) command mv qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_table_even511.txt qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_dm.txt Stdout: Stderr: # Principal coordinates (unweighted_unifrac) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_dm.txt -o qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0269588306596 and the largest is 0.39520336257. RuntimeWarning # Make emperor plots, unweighted_unifrac) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_pc.txt -o qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (unweighted_unifrac_full_tree) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics unweighted_unifrac_full_tree -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: # Rename distance matrix (unweighted_unifrac_full_tree) command mv qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_full_tree_table_even511.txt qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_full_tree_dm.txt Stdout: Stderr: # Principal coordinates (unweighted_unifrac_full_tree) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_full_tree_dm.txt -o qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_full_tree_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0331311111977 and the largest is 0.331317288035. RuntimeWarning # Make emperor plots, unweighted_unifrac_full_tree) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_full_tree_pc.txt -o qiime_results/cd_mc100/bdiv_even511//unweighted_unifrac_full_tree_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (weighted_normalized_unifrac) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics weighted_normalized_unifrac -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: # Rename distance matrix (weighted_normalized_unifrac) command mv qiime_results/cd_mc100/bdiv_even511//weighted_normalized_unifrac_table_even511.txt qiime_results/cd_mc100/bdiv_even511//weighted_normalized_unifrac_dm.txt Stdout: Stderr: # Principal coordinates (weighted_normalized_unifrac) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//weighted_normalized_unifrac_dm.txt -o qiime_results/cd_mc100/bdiv_even511//weighted_normalized_unifrac_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0446607094075 and the largest is 1.56873067123. RuntimeWarning # Make emperor plots, weighted_normalized_unifrac) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//weighted_normalized_unifrac_pc.txt -o qiime_results/cd_mc100/bdiv_even511//weighted_normalized_unifrac_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: # Beta Diversity (weighted_unifrac) command beta_diversity.py -i qiime_results/cd_mc100/table_even511.biom -o qiime_results/cd_mc100/bdiv_even511/ --metrics weighted_unifrac -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: # Rename distance matrix (weighted_unifrac) command mv qiime_results/cd_mc100/bdiv_even511//weighted_unifrac_table_even511.txt qiime_results/cd_mc100/bdiv_even511//weighted_unifrac_dm.txt Stdout: Stderr: # Principal coordinates (weighted_unifrac) command principal_coordinates.py -i qiime_results/cd_mc100/bdiv_even511//weighted_unifrac_dm.txt -o qiime_results/cd_mc100/bdiv_even511//weighted_unifrac_pc.txt Stdout: Stderr: /usr/local/lib/python2.7/dist-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 -0.0230630289565 and the largest is 0.845339277505. RuntimeWarning # Make emperor plots, weighted_unifrac) command make_emperor.py -i qiime_results/cd_mc100/bdiv_even511//weighted_unifrac_pc.txt -o qiime_results/cd_mc100/bdiv_even511//weighted_unifrac_emperor_pcoa_plot/ -m meta.txt Stdout: Stderr: Executing commands. # Alpha rarefaction command multiple_rarefactions.py -i qiime_results/cd_mc100/table_mc511.biom -m 10 -x 511 -s 50 -o qiime_results/cd_mc100/arare_max511//rarefaction/ Stdout: Stderr: # Alpha diversity on rarefied OTU tables command alpha_diversity.py -i qiime_results/cd_mc100/arare_max511//rarefaction/ -o qiime_results/cd_mc100/arare_max511//alpha_div/ --metrics berger_parker_d,brillouin_d,chao1,chao1_ci,dominance,doubles,enspie,equitability,esty_ci,fisher_alpha,gini_index,goods_coverage,heip_e,kempton_taylor_q,margalef,mcintosh_d,mcintosh_e,menhinick,observed_otus,observed_species,osd,simpson_reciprocal,robbins,shannon,simpson,simpson_e,singles,strong,PD_whole_tree -t qiime_results/data_mc100/rep_set_mc100.tre Stdout: Stderr: # Collate alpha command collate_alpha.py -i qiime_results/cd_mc100/arare_max511//alpha_div/ -o qiime_results/cd_mc100/arare_max511//alpha_div_collated/ Stdout: Stderr: # Removing intermediate files command rm -r qiime_results/cd_mc100/arare_max511//rarefaction/ qiime_results/cd_mc100/arare_max511//alpha_div/ Stdout: Stderr: # Rarefaction plot: All metrics command make_rarefaction_plots.py -i qiime_results/cd_mc100/arare_max511//alpha_div_collated/ -m meta.txt -o qiime_results/cd_mc100/arare_max511//alpha_rarefaction_plots/ Stdout: Stderr: /usr/local/lib/python2.7/dist-packages/matplotlib/axes/_base.py:2809: UserWarning: Attempting to set identical bottom==top results in singular transformations; automatically expanding. bottom=0, top=0 'bottom=%s, top=%s') % (bottom, top)) Skipping compare_alpha_diversity.py as no categories were provided. Executing commands. # Sort OTU Table command sort_otu_table.py -i qiime_results/cd_mc100/table_mc511.biom -o qiime_results/cd_mc100/taxa_plots/table_mc511_sorted.biom Stdout: Stderr: # Summarize Taxonomy command summarize_taxa.py -i qiime_results/cd_mc100/taxa_plots/table_mc511_sorted.biom -o qiime_results/cd_mc100/taxa_plots/ --level 2,3,4,5,6,7 Stdout: Stderr: # Plot Taxonomy Summary command plot_taxa_summary.py -i qiime_results/cd_mc100/taxa_plots/table_mc511_sorted_L2.txt,qiime_results/cd_mc100/taxa_plots/table_mc511_sorted_L3.txt,qiime_results/cd_mc100/taxa_plots/table_mc511_sorted_L4.txt,qiime_results/cd_mc100/taxa_plots/table_mc511_sorted_L5.txt,qiime_results/cd_mc100/taxa_plots/table_mc511_sorted_L6.txt,qiime_results/cd_mc100/taxa_plots/table_mc511_sorted_L7.txt -o qiime_results/cd_mc100/taxa_plots//taxa_summary_plots/ --labels Phylum,Class,Order,Family,Genus,Species --chart_type bar,area,pie Stdout: Stderr: Executing commands. # Compress the filtered BIOM table command gzip qiime_results/cd_mc100/table_mc511.biom Stdout: Stderr: # Compress the rarefied BIOM table command gzip qiime_results/cd_mc100/table_even511.biom Stdout: Stderr: Logging stopped at 13:41:09 on 24 Apr 2017