Central repository for data and analysis tools for the Student Microbiome Project (SMP). This repository will store data and code related to the Student Microbiome Project, and will be kept private until publication of the study. Related data include the My Microbes delivery system being developed in Greg Caporaso's lab by John Chase and Jai Ram Rideout, and the Student Microbiome Project metadata mapping file.
otu_tables/ : closed-reference OTU tables
otu_table_stats/ : output of running per_library_stats.py on all files in otu_tables/
Original mapping files had some overlapping sample IDs (where p, f, g, and t are palm, forehead, gut and tongue, respectively):
In [9]: set(p.keys()) & set(f.keys())
Out[9]: set(['ExtB3.1', 'ExtB5.1', 'ExtBS3.1', 'ExtBS3.2'])
In [10]: set(g.keys()) & set(t.keys())
Out[10]: set(['ExtB2.1', 'ExtBS2.2', 'ExtB4.1'])These were renamed in the per-body-site mapping files to, for example, ExtB3.p.1 and ExtB3.f.1 to support a single mapping file to rule them all.
After merging mapping files, the following steps were taken to generate information on the number of weeks of samples that were available for each subject.
from qiime.parse import parse_mapping_file_to_dict
s, _ = parse_mapping_file_to_dict(open('./smp_mapping_file_all_weeks.tsv','U'))
sid_to_ind = {}
ind_to_weeks = {}
for k,v in s.items(): ind = v['PersonalID']
week = v['Week'] try:
ind_to_weeks[ind].append(week) except KeyError:
ind_to_weeks[ind] = [week]
sid_to_ind[k] = ind
for k,v in sid_to_ind.items():
if 'na' in ind_to_weeks[v]:
print '\t'.join([k,'na','na','na'])
else:
print '\t'.join([k,str(len(set(ind_to_weeks[v]))),s[k]['Week'].replace('week.',''),str(min(map(float,[e.replace('week.','') for e in ind_to_weeks[v]]))), str(max(map(float,[e.replace('week.','') for e in ind_to_weeks[v]])))])echo "split_libraries_fastq.py -i /home/shared/Illumina_hiseq_UCB/Illumina071712/Project_Fierer_71712/Sample_Fierer_16sV4_SMP1_tongue_71712/Fierer_16sV4_SMP1_tongue_71712_NoIndex_L001_R1_001.fastq.gz -b /home/shared/Illumina_hiseq_UCB/Illumina071712/Project_Fierer_71712/Sample_Fierer_16sV4_SMP1_tongue_71712/Fierer_16sV4_SMP1_tongue_71712_NoIndex_L001_R2_001.fastq.gz -m /home/caporaso/analysis/student_microbiome/tongue_all.tsv --rev_comp_mapping_barcodes -o /home/caporaso/analysis/student_microbiome/slout_tongue/" | qsub -keo -N stu_tongue
echo "split_libraries_fastq.py -i /home/shared/Illumina_hiseq_UCB/Illumina071712/Project_Fierer_71712/Sample_Fierer_16sV4_SMP2_palm_71712/Fierer_16sV4_SMP2_palm_71712_NoIndex_L002_R1_001.fastq.gz -b /home/shared/Illumina_hiseq_UCB/Illumina071712/Project_Fierer_71712/Sample_Fierer_16sV4_SMP2_palm_71712/Fierer_16sV4_SMP2_palm_71712_NoIndex_L002_R2_001.fastq.gz -m /home/caporaso/analysis/student_microbiome/palm_all.tsv --rev_comp_mapping_barcodes -o /home/caporaso/analysis/student_microbiome/slout_palm/" | qsub -keo -N stu_palm
echo "split_libraries_fastq.py -i /home/shared/Illumina_hiseq_UCB/Illumina071712/Project_Fierer_71712/Sample_Fierer_16sV4_SMP3_forehead_71712/Fierer_16sV4_SMP3_forehead_71712_NoIndex_L003_R1_001.fastq.gz -b /home/shared/Illumina_hiseq_UCB/Illumina071712/Project_Fierer_71712/Sample_Fierer_16sV4_SMP3_forehead_71712/Fierer_16sV4_SMP3_forehead_71712_NoIndex_L003_R2_001.fastq.gz -m /home/caporaso/analysis/student_microbiome/forehead_all.tsv --rev_comp_mapping_barcodes -o /home/caporaso/analysis/student_microbiome/slout_forehead/" | qsub -keo -N stu_forehead
echo "split_libraries_fastq.py -i /home/shared/Illumina_hiseq_UCB/Illumina071712/Project_Fierer_71712/Sample_Fierer_16sV4_SMP4_fecal_71712/Fierer_16sV4_SMP4_fecal_71712_NoIndex_L004_R1_001.fastq.gz -b /home/shared/Illumina_hiseq_UCB/Illumina071712/Project_Fierer_71712/Sample_Fierer_16sV4_SMP4_fecal_71712/Fierer_16sV4_SMP4_fecal_71712_NoIndex_L004_R2_001.fastq.gz -m /home/caporaso/analysis/student_microbiome/gut_all.tsv --rev_comp_mapping_barcodes -o /home/caporaso/analysis/student_microbiome/slout_fecal/" | qsub -keo -N stu_fecal
# week one only data
echo "split_libraries_fastq.py -i /home/shared/Illumina_hiseq_UCB/Illumina03022012/Project_Fierer_030212/Sample_NF_SM_H/NF_SM_H_NoIndex_L001_R1_001.fastq -b /home/shared/Illumina_hiseq_UCB/Illumina03022012/Project_Fierer_030212/Sample_NF_SM_H/NF_SM_H_NoIndex_L001_R2_001.fastq -m /scratch/caporaso/student_microbiome/wk1only_map.txt -o /scratch/caporaso/student_microbiome/slout_wk1_only/ --rev_comp_mapping_barcodes" | qsub -keo -N student_slecho "pick_reference_otus_through_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/slout_fecal/seqs.fna -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_fecal/ -r /Users/caporaso/data/gg_12_10_otus/rep_set/97_otus.fasta -t /Users/caporaso/data/gg_12_10_otus/taxonomy/97_otu_taxonomy.txt -aO 50 -p /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_params.txt" | qsub -keo -N smp-fecal -l pvmem=16gb -q memroute
echo "pick_reference_otus_through_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/slout_forehead/seqs.fna -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_forehead/ -r /Users/caporaso/data/gg_12_10_otus/rep_set/97_otus.fasta -t /Users/caporaso/data/gg_12_10_otus/taxonomy/97_otu_taxonomy.txt -aO 50 -p /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_params.txt" | qsub -keo -N smp-forehead -l pvmem=16gb -q memroute
echo "pick_reference_otus_through_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/slout_tongue/seqs.fna -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_tongue/ -r /Users/caporaso/data/gg_12_10_otus/rep_set/97_otus.fasta -t /Users/caporaso/data/gg_12_10_otus/taxonomy/97_otu_taxonomy.txt -aO 50 -p /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_params.txt" | qsub -keo -N smp-tongue -l pvmem=16gb -q memroute
echo "pick_reference_otus_through_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/slout_palm/seqs.fna -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_palm/ -r /Users/caporaso/data/gg_12_10_otus/rep_set/97_otus.fasta -t /Users/caporaso/data/gg_12_10_otus/taxonomy/97_otu_taxonomy.txt -aO 50 -p /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_params.txt" | qsub -keo -N smp-palm -l pvmem=16gb -q memroute
# week one only data
echo "pick_reference_otus_through_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/slout_wk1_only/seqs.fna -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_wk1/ -r /Users/caporaso/data/gg_12_10_otus/rep_set/97_otus.fasta -t /Users/caporaso/data/gg_12_10_otus/taxonomy/97_otu_taxonomy.txt -aO 50 -p /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_params.txt" | qsub -keo -N smp-wk1 -l pvmem=16gb -q memroute
First we remove samples that are not in the mapping file. Some of these had issues during prep, etc.
filter_samples_from_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_fecal/uclust_ref_picked_otus/otu_table.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_fecal/uclust_ref_picked_otus/otu_table_sfiltered.biom --sample_id_fp /scratch/caporaso/student_microbiome/StudentMicrobiomeProject-map.tsv
filter_samples_from_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_forehead/uclust_ref_picked_otus/otu_table.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_forehead/uclust_ref_picked_otus/otu_table_sfiltered.biom --sample_id_fp /scratch/caporaso/student_microbiome/StudentMicrobiomeProject-map.tsv
filter_samples_from_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_tongue/uclust_ref_picked_otus/otu_table.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_tongue/uclust_ref_picked_otus/otu_table_sfiltered.biom --sample_id_fp /scratch/caporaso/student_microbiome/StudentMicrobiomeProject-map.tsv
filter_samples_from_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_palm/uclust_ref_picked_otus/otu_table.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_palm/uclust_ref_picked_otus/otu_table_sfiltered.biom --sample_id_fp /scratch/caporaso/student_microbiome/StudentMicrobiomeProject-map.tsvNext we create a master OTU table by merging the four body sites
echo "merge_otu_tables.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_fecal/uclust_ref_picked_otus/otu_table_sfiltered.biom,/scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_forehead/uclust_ref_picked_otus/otu_table_sfiltered.biom,/scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_tongue/uclust_ref_picked_otus/otu_table_sfiltered.biom,/scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC_palm/uclust_ref_picked_otus/otu_table_sfiltered.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/all_body_sites_sfiltered.biom" | qsub -keo -N merge-smp -l pvmem=32gb -q memrouteAnother round of filtering. We're requring a minimum of 10k sequences per sample.
echo "filter_samples_from_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/all_body_sites_sfiltered.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/all_body_sites_sfiltered_mc10k.biom -n 10000" | qsub -keo -N smp-filt -l pvmem=32gb -q memrouteNext we apply a filtering step to remove OTUs that show up in high abundance in our negative control samples (i.e., extraction and swab blanks). The specific revision of the script used in this step can be found here. Then filter samples which have <10k sequences after this OTU filtering step, and finally remove the negative control samples from the OTU table.
echo 'cd /Users/caporaso/code/filter_control_otus ; python filter_control_otus.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/all_body_sites_sfiltered_mc10k.biom -m /scratch/caporaso/student_microbiome/StudentMicrobiomeProject-map.tsv -a 0.005 -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/control_filtering/ -s "PersonalID:SwabBlank,NTC,ntc,ExtBlank"' | qsub -keo -N smp-filt -l pvmem=64gb -q memroute
echo "filter_samples_from_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/control_filtering/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/control_filtering/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005_mc10k.biom -n 10000" | qsub -keo -N smp-filt -l pvmem=32gb -q memroute
echo 'filter_samples_from_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/control_filtering/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005_mc10k.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/control_filtering/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005_mc10k_sfiltered.biom -m /scratch/caporaso/student_microbiome/StudentMicrobiomeProject-map.tsv -s "PersonalID:*,!SwabBlank,!NTC,!ntc,!ExtBlank"' | qsub -keo -N smp-filt -l pvmem=32gb -q memrouteNow identify samples that are likely to be mislabeled and remove them.
# filter OTUs in fewer than 10 samples
echo "filter_otus_from_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/control_filtering/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005_mc10k_sfiltered.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005_mc10k_sfiltered_s10.biom -s 10" | qsub -keo -N filtotus -l pvmem=32gb -q memroute
# rarify to 1000 sequences/sample
echo "single_rarefaction.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005_mc10k_sfiltered_s10.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005_mc10k_sfiltered_s10_even1000.biom -d 1000" | qsub -keo -N filtotus -l pvmem=32gb -q memroute
# identify mislabeled samples
echo "supervised_learning.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005_mc10k_sfiltered_s10_even1000.biom -m /scratch/caporaso/student_microbiome/StudentMicrobiomeProject-map.tsv -c "BodySite" -e cv5 -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/s10_1000/" | qsub -keo -N smp_rf -l pvmem=16gb -q memroute
# remove the mislabeled samples
echo "filter_samples_from_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/control_filtering/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005_mc10k_sfiltered.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005_mc10k_sfiltered_no_mislabeled_010.biom -m /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/s10_1000/mislabeling.txt -s 'mislabeled_probability_above_0.90:FALSE'" | qsub -keo -N filtmisl -l pvmem=32gb -q memroute
# the output of the previous step becomes our master OTU table for diversity analyses
cp /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/all_body_sites_sfiltered_mc10k.control_filtered_median_0.005_mc10k_sfiltered_no_mislabeled_010.biom /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/otu_table.biom
# SMP mapping fill pulled from GDocs at ~8:55pm MT 12/20/12
per_library_stats.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/otu_table.biom -o /scratch/caporaso/student_microbiome/SMP-map.out.tsv -m /scratch/caporaso/student_microbiome/SMP-map.tsv
Compute UniFrac distance matrices and generate PCoA plots.
echo "single_rarefaction.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/otu_table.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/otu_table_even1000.biom -d 10000" | qsub -keo -N smp-srare
# Note: the output file was incorrect in the above command (should have made it otu_table_even10000.biom, so 10k instead of 1k). The
# error follows through in the next couple of commands.
parallel_beta_diversity.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/otu_table_even1000.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/ -O 100 -U /Users/caporaso/bin/cluster_jobs_8.py -t /Users/caporaso/data/gg_12_10_otus/trees/97_otus.tree
cd /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/
mv unweighted_unifrac_otu_table_even1000.txt unweighted_unifrac_dm.txt
mv weighted_unifrac_otu_table_even1000.txt weighted_unifrac_dm.txt
parallel_multiple_rarefactions.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/otu_table.biom -m 10 -x 10000 -s 999 -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/arare_10000//rarefaction/ --jobs_to_start 50
parallel_alpha_diversity.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/arare_10000//rarefaction/ -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/arare_10000//alpha_div/ --metrics PD_whole_tree,chao1,observed_species,shannon -t /Users/caporaso/data/gg_12_10_otus/trees/97_otus.tree --jobs_to_start 50
collate_alpha.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/arare_10000/alpha_div -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/arare_10000/alpha_div_collated/filter_samples_from_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/otu_table.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/otu_table.ts_only.biom -s "AnyTimeseries:Yes" -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv
split_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/otu_table.ts_only.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/otu_table_ts_by_body_site/ -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -f BodySite
filter_samples_from_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project/otu-tables/otu_table_even10000.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project/otu-tables/otu_table_even10000.ts_only.biom -s "AnyTimeseries:Yes" -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv
split_otu_table.py -i /scratch/caporaso/student_microbiome/student-microbiome-project/otu-tables/otu_table_even10000.ts_only.biom -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/otu_table_even_10000_ts_by_body_site/ -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -f BodySiteecho 'filter_distance_matrix.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.ts_only.txt -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -s "AnyTimeseries:Yes"' | qsub -keo -N dmts -l pvmem=8gb -q memroute
echo 'filter_distance_matrix.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.gut_ts_only.txt -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -s "GutTimeseries:Yes"' | qsub -keo -N dmgutts -l pvmem=8gb -q memroute
echo 'filter_distance_matrix.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.palm_ts_only.txt -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -s "PalmTimeseries:Yes"' | qsub -keo -N dmpalmts -l pvmem=8gb -q memroute
echo 'filter_distance_matrix.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.forehead_ts_only.txt -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -s "ForeheadTimeseries:Yes"' | qsub -keo -N dmforets -l pvmem=8gb -q memroute
echo 'filter_distance_matrix.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.tongue_ts_only.txt -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -s "TongueTimeseries:Yes"' | qsub -keo -N dmtonguets -l pvmem=8gb -q memroute
echo 'filter_distance_matrix.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.ts_only.txt -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -s "AnyTimeseries:Yes"' | qsub -keo -N dmts -l pvmem=8gb -q memroute
echo 'filter_distance_matrix.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.gut_ts_only.txt -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -s "GutTimeseries:Yes"' | qsub -keo -N dmgutts -l pvmem=8gb -q memroute
echo 'filter_distance_matrix.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.palm_ts_only.txt -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -s "PalmTimeseries:Yes"' | qsub -keo -N dmpalmts -l pvmem=8gb -q memroute
echo 'filter_distance_matrix.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.forehead_ts_only.txt -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -s "ForeheadTimeseries:Yes"' | qsub -keo -N dmforets -l pvmem=8gb -q memroute
echo 'filter_distance_matrix.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.tongue_ts_only.txt -m /scratch/caporaso/student_microbiome/SMP-map_w_ts.tsv -s "TongueTimeseries:Yes"' | qsub -keo -N dmtonguets -l pvmem=8gb -q memrouteecho 'principal_coordinates.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_pc.txt' | qsub -keo -N pc -l pvmem=8gb -q memroute
echo 'principal_coordinates.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_dm.ts_only.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/unweighted_unifrac_pc.ts_only.txt' | qsub -keo -N pcts -l pvmem=8gb -q memroute
echo 'principal_coordinates.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_pc.txt' | qsub -keo -N pc -l pvmem=8gb -q memroute
echo 'principal_coordinates.py -i /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_dm.ts_only.txt -o /scratch/caporaso/student_microbiome/student-microbiome-project-raw-data/ucrC/mislabeling/bdiv_even10000/weighted_unifrac_pc.ts_only.txt' | qsub -keo -N pcts -l pvmem=8gb -q memroutepersonal_variability_plots.py is in the student microbiome project GitHub repository code directory. The version used here was in commit 73d8ebdb9b42441f8f58129c5652442d5a6d2a3d.
personal_variability_plots.py -m ../SMP-map.tsvThe following bash script was used to run statistical tests on weighted and unweighted UniFrac distance matrices (time-series-only samples) to test for differences in community composition between individuals. adonis, ANOSIM, and PERMDISP were run using QIIME 1.7.0-dev, master@72514df, R 2.12.0, and vegan 2.0-7.
#!/bin/bash
# QIIME 1.7.0-dev, master@72514df
# R 2.12.0
# vegan 2.0-7
# SMP: bb888861d87c9d10b33121d829f672df01aace45
# map.txt MD5: 8de601815ea5f4f9b0900794407a42be
# Run several methods in compare_categories.py over per-body-site
# time-series-only distance matrices using the PersonalID category.
DMDIR=../../beta-diversity
MAP=map.txt
CATEGORY=PersonalID
NUMPERMS=999
for ZIPFILE in $DMDIR/*weighted_unifrac_dm.*_ts_only.txt.gz
do
DMFILE=$(echo $ZIPFILE | sed 's/.gz//')
OUTDIR=$(basename $DMFILE | sed 's/.txt//')_stats
mkdir $OUTDIR
gunzip -c $ZIPFILE > $DMFILE
compare_categories.py -i $DMFILE -m $MAP -c $CATEGORY -o $OUTDIR -n $NUMPERMS --method adonis
compare_categories.py -i $DMFILE -m $MAP -c $CATEGORY -o $OUTDIR -n $NUMPERMS --method anosim
compare_categories.py -i $DMFILE -m $MAP -c $CATEGORY -o $OUTDIR -n $NUMPERMS --method permdisp
done