Mercurial > repos > iuc > qiime_make_emperor
changeset 1:01c5d9754f71 draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/qiime/ commit a9d1e0debcd357d8080a1c6c5f1d206dd45a7a4d
author | iuc |
---|---|
date | Fri, 19 May 2017 03:38:18 -0400 |
parents | 4069d17252b8 |
children | d1ae914eac40 |
files | generate_test_data.sh.orig |
diffstat | 1 files changed, 312 insertions(+), 0 deletions(-) [+] |
line wrap: on
line diff
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/generate_test_data.sh.orig Fri May 19 03:38:18 2017 -0400 @@ -0,0 +1,312 @@ +#!/usr/bin/env bash + +# validate_mapping_file +validate_mapping_file.py \ + -m 'test-data/validate_mapping_file/map.tsv' \ + -o validate_mapping_file_output \ + -c '_' +cp validate_mapping_file_output/*.html 'test-data/validate_mapping_file/map.tsv.html' +cp validate_mapping_file_output/*.log 'test-data/validate_mapping_file/map.tsv.log' +cp validate_mapping_file_output/*corrected.txt 'test-data/validate_mapping_file/map.tsv_corrected.txt' +rm -rf validate_mapping_file_output + +# split_libraries_fastq +split_libraries_fastq.py \ + --sequence_read_fps 'test-data/split_libraries_fastq/forward_reads.fastq' \ + -o split_libraries \ + --mapping_fps 'test-data/map.tsv' \ + --barcode_read_fps 'test-data/split_libraries_fastq/barcodes.fastq' \ + --store_qual_scores \ + --store_demultiplexed_fastq \ + --max_bad_run_length 3 \ + --min_per_read_length_fraction 0.75 \ + --sequence_max_n 0 \ + --start_seq_id 0 \ + --barcode_type 'golay_12' \ + --max_barcode_errors 1.5 +cp split_libraries/histograms.txt 'test-data/split_libraries_fastq/histograms.tabular' +cp split_libraries/seqs.fna 'test-data/split_libraries_fastq/sequences.fasta' +cp split_libraries/seqs.qual 'test-data/split_libraries_fastq/sequence_qualities.qual' +cp split_libraries/seqs.fastq 'test-data/split_libraries_fastq/demultiplexed_sequences.fastq' +rm -rf split_libraries + +# split_libraries +split_libraries.py \ + --map 'test-data/split_libraries/mapping_file.txt' \ + -o split_libraries \ + --fasta 'test-data/split_libraries/reads_1.fna,test-data/split_libraries/reads_2.fna' \ + --qual 'test-data/split_libraries/reads_1.qual,test-data/split_libraries/reads_2.qual' \ + --min_qual_score 25 \ + --qual_score_window 0 \ + --record_qual_scores \ + --min_seq_length 200 \ + --max_seq_length 1000 \ + --max_ambig 6 \ + --max_homopolymer 6 \ + --max_primer_mismatch 0 \ + --barcode_type 'golay_12' \ + --max_barcode_errors 1.5 \ + --start_numbering_at 1 +cp split_libraries/seqs.fna 'test-data/split_libraries/seqs.fna' +cp split_libraries/split_library_log.txt 'test-data/split_libraries/split_library_log' +cp split_libraries/histograms.txt 'test-data/split_libraries/histograms.txt' +cp split_libraries/seqs_filtered.qual 'test-data/split_libraries/seqs_filtered.qual' +rm -rf split_libraries + +# pick_open_reference_otus +pick_open_reference_otus.py \ + --input_fps 'test-data/pick_open_reference_otus/sequences.fasta' \ + -o pick_open_reference_otus_1 \ + --reference_fp 'test-data/gg_13_8_79_otus.fasta' \ + --otu_picking_method 'uclust' \ + --new_ref_set_id 'New' \ + --parallel \ + --percent_subsample '0.001' \ + --prefilter_percent_id '0.0' \ + --minimum_failure_threshold '100000' \ + --min_otu_size '2' +cp pick_open_reference_otus_1/final_otu_map.txt 'test-data/pick_open_reference_otus/1_final_otu_map.txt' +cp pick_open_reference_otus_1/final_otu_map_mc*.txt 'test-data/pick_open_reference_otus/1_final_otu_map_mc.txt' +cp pick_open_reference_otus_1/rep_set.tre 'test-data/pick_open_reference_otus/1_rep_set_tree.tre' +rm -rf pick_open_reference_otus_1 + +pick_open_reference_otus.py \ + --input_fps 'test-data/pick_open_reference_otus/sequences.fasta' \ + -o pick_open_reference_otus_2 \ + --reference_fp 'test-data/gg_13_8_79_otus.fasta' \ + --otu_picking_method 'uclust' \ + --new_ref_set_id 'New' \ + --parallel \ + --percent_subsample '0.001' \ + --prefilter_percent_id '0.0' \ + --minimum_failure_threshold '100000' \ + --min_otu_size '3' \ + --suppress_taxonomy_assignment \ + --suppress_align_and_tree +cp pick_open_reference_otus_2/final_otu_map.txt 'test-data/pick_open_reference_otus/2_final_otu_map.txt' +cp pick_open_reference_otus_2/final_otu_map_mc*.txt 'test-data/pick_open_reference_otus/2_final_otu_map_mc.txt' +rm -rf pick_open_reference_otus_2 + +pick_open_reference_otus.py \ + --input_fps 'test-data/pick_open_reference_otus/sequences.fasta' \ + -o pick_open_reference_otus_3 \ + --reference_fp 'test-data/gg_13_8_79_otus.fasta' \ + --otu_picking_method 'uclust' \ + --new_ref_set_id 'New' \ + --parallel \ + --percent_subsample '0.001' \ + --prefilter_percent_id '0.0' \ + --minimum_failure_threshold '100000' \ + --min_otu_size '10' \ + --suppress_taxonomy_assignment +cp pick_open_reference_otus_3/final_otu_map.txt 'test-data/pick_open_reference_otus/3_final_otu_map.txt' +cp pick_open_reference_otus_3/final_otu_map_mc*.txt 'test-data/pick_open_reference_otus/3_final_otu_map_mc.txt' +cp pick_open_reference_otus_3/rep_set.tre 'test-data/pick_open_reference_otus/3_rep_set_tree.tre' +rm -rf pick_open_reference_otus_3 + +# core_diversity_analyses +# Data are from test data in https://github.com/biocore/qiime +core_diversity_analyses.py \ + --input_biom_fp 'test-data/core_diversity_analyses/otu_table.biom' \ + -o core_diversity_analyses_1 \ + --mapping_fp 'test-data/core_diversity_analyses/map.txt' \ + --sampling_depth 22 \ + --tree_fp 'test-data/core_diversity_analyses/rep_set.tre' +cp core_diversity_analyses_1/bdiv_even22/unweighted_unifrac_pc.txt 'test-data/core_diversity_analyses/unweighted_unifrac_pc.txt' +rm -rf core_diversity_analyses_1 + +core_diversity_analyses.py \ + --input_biom_fp 'test-data/core_diversity_analyses/otu_table.biom' \ + -o core_diversity_analyses_2 \ + --mapping_fp 'test-data/core_diversity_analyses/map.txt' \ + --sampling_depth 22 \ + --nonphylogenetic_diversity \ + --suppress_taxa_summary \ + --suppress_beta_diversity \ + --suppress_alpha_diversity \ + --suppress_group_significance +rm -rf core_diversity_analyses_2 + +# summarize_taxa +cp 'test-data/core_diversity_analyses/otu_table.biom' 'test-data/summarize_taxa/otu_table.biom' +cp 'test-data/core_diversity_analyses/map.txt' 'test-data/summarize_taxa/map.txt' + +summarize_taxa.py \ + -i 'test-data/summarize_taxa/otu_table.biom' \ + -o summarize_taxa_1 \ + -L '2,3,4,5,6' \ + -m 'test-data/summarize_taxa/map.txt' \ + --md_identifier "taxonomy" \ + --delimiter ";" +cp summarize_taxa_1/*_L2.txt "test-data/summarize_taxa/1_L2.txt" +cp summarize_taxa_1/*_L3.txt "test-data/summarize_taxa/1_L3.txt" +cp summarize_taxa_1/*_L4.txt "test-data/summarize_taxa/1_L4.txt" +cp summarize_taxa_1/*_L5.txt "test-data/summarize_taxa/1_L5.txt" +cp summarize_taxa_1/*_L6.txt "test-data/summarize_taxa/1_L6.txt" +rm -rf summarize_taxa_1 + +summarize_taxa.py \ + -i 'test-data/summarize_taxa/otu_table.biom' \ + -o summarize_taxa_2 \ + -L '3,6' \ + --md_identifier "taxonomy" \ + --delimiter ";" +cp summarize_taxa_2/*_L3.txt "test-data/summarize_taxa/2_L3.txt" +cp summarize_taxa_2/*_L6.txt "test-data/summarize_taxa/2_L6.txt" +rm -rf summarize_taxa_2 + +# make_emperor +cp 'test-data/core_diversity_analyses/unweighted_unifrac_pc.txt' 'test-data/make_emperor/unweighted_unifrac_pc.txt' +cp 'test-data/core_diversity_analyses/map.txt' 'test-data/make_emperor/map.txt' +cp 'test-data/summarize_taxa/2_L3.txt' 'test-data/make_emperor/2_L3.txt' + +make_emperor.py \ + --input_coords 'test-data/make_emperor/unweighted_unifrac_pc.txt' \ + -o make_emperor_1 \ + --map_fp 'test-data/make_emperor/map.txt' \ + --number_of_axes '10' \ + --add_unique_columns \ + --number_of_segments 8 +rm -rf make_emperor_1 + +make_emperor.py \ + --input_coords 'test-data/make_emperor/unweighted_unifrac_pc.txt' \ + -o make_emperor_2 \ + --map_fp 'test-data/make_emperor/map.txt' \ + --number_of_axes '10' \ + --add_unique_columns \ + --number_of_segments 8 \ + --taxa_fp 'test-data/make_emperor/2_L3.txt' \ + --n_taxa_to_keep 10 +rm -rf make_emperor_2 + +#alpha_rarefaction +alpha_rarefaction.py \ + --otu_table_fp "test-data/alpha_rarefaction/otu_table.biom" \ + --mapping_fp "test-data/alpha_rarefaction/mapping_file.txt" \ + -o alpha_rarefaction \ + --num_steps '2' \ + --tree_fp "test-data/alpha_rarefaction/rep_set.tre" \ + --min_rare_depth '10' \ + --max_rare_depth '50' \ + --retain_intermediate_files +rm -rf alpha_rarefaction + +##beta_diversity +beta_diversity.py \ + --input_path 'test-data/beta_diversity/otu_table.biom' \ + -o beta_diversity_1 \ + --metrics 'unweighted_unifrac,weighted_unifrac' \ + --tree_path 'test-data/beta_diversity/rep_set.tre' +md5 'beta_diversity_1/unweighted_unifrac_otu_table.txt' +md5 'beta_diversity_1/weighted_unifrac_otu_table.txt' +rm -rf beta_diversity_1 + +beta_diversity.py \ + --input_path 'test-data/beta_diversity/otu_table.biom' \ + -o beta_diversity_2 \ + --metrics 'abund_jaccard,binary_chisq,binary_chord,binary_euclidean,binary_hamming,binary_jaccard,binary_lennon,binary_ochiai,binary_pearson,binary_sorensen_dice,bray_curtis,canberra,chisq,chord,euclidean,gower,hellinger,kulczynski,manhattan,morisita_horn,pearson,soergel,spearman_approx,specprof,unifrac_g,unifrac_g_full_tree,unweighted_unifrac,unweighted_unifrac_full_tree,weighted_normalized_unifrac,weighted_unifrac' \ + --tree_path 'test-data/beta_diversity/rep_set.tre' +md5 'beta_diversity_2/canberra_otu_table.txt' +md5 'beta_diversity_2/pearson_otu_table.txt' +rm -rf beta_diversity_2 + +# jackknifed_beta_diversity +jackknifed_beta_diversity.py \ + --otu_table_fp 'test-data/jackknifed_beta_diversity/otu_table.biom' \ + --mapping_fp 'test-data/jackknifed_beta_diversity/map.txt' \ + -o jackknifed_beta_diversity \ + --seqs_per_sample '10' \ + --tree_fp 'test-data/jackknifed_beta_diversity/rep_set.tre' \ + --master_tree 'consensus' \ + --parallel +rm -rf jackknifed_beta_diversity + +#beta_diversity_through_plots +beta_diversity_through_plots.py \ + --otu_table_fp 'test-data/beta_diversity_through_plots/otu_table.biom' \ + --mapping_fp 'test-data/beta_diversity_through_plots/map.txt' \ + --output_dir beta_diversity_through_plots \ + --tree_fp 'test-data/beta_diversity_through_plots/rep_set.tre' \ + --parallel +cp beta_diversity_through_plots/unweighted_unifrac_dm.txt 'test-data/beta_diversity_through_plots/' +cp beta_diversity_through_plots/unweighted_unifrac_pc.txt 'test-data/beta_diversity_through_plots/' +cp beta_diversity_through_plots/weighted_unifrac_dm.txt 'test-data/beta_diversity_through_plots/' +cp beta_diversity_through_plots/weighted_unifrac_pc.txt 'test-data/beta_diversity_through_plots/' +rm -rf beta_diversity_through_plots + +# assign_taxonomy +assign_taxonomy.py \ + --input_fasta_fp 'test-data/assign_taxonomy/uclust_input_seqs.fasta' \ + --assignment_method 'uclust' \ + --min_consensus_fraction '0.51' \ + --similarity '0.9' \ + --uclust_max_accepts '3' \ + -o assign_taxonomy_uclust +cp assign_taxonomy_uclust/uclust_input_seqs_tax_assignments.txt 'test-data/assign_taxonomy/uclust_taxonomic_assignation.txt' +rm -rf assign_taxonomy_uclust + +#assign_taxonomy.py \ +# --input_fasta_fp 'test-data/assign_taxonomy/rdp_input_seqs.fasta' \ +# --id_to_taxonomy_fp 'test-data/assign_taxonomy/rdp_id_to_taxonomy.txt' \ +# --assignment_method 'rdp' \ +# --confidence '3' \ +# -o assign_taxonomy_rdp + +#assign_taxonomy.py \ +# --input_fasta_fp 'test-data/assign_taxonomy/rtax_ref_seq_set.fna' \ +# --id_to_taxonomy_fp 'test-data/assign_taxonomy/rtax_id_to_taxonomy.txt' \ +# --assignment_method 'rtax' \ +# --read_1_seqs_fp 'test-data/assign_taxonomy/read_1.seqs.fna' \ +# --read_2_seqs_fp 'test-data/assign_taxonomy/read_2.seqs.fna' \ +# --single_ok \ +# --no_single_ok_generic \ +# --read_id_regex "\S+\s+(\S+)" \ +# --amplicon_id_regex "(\S+)\s+(\S+?)\/" \ +# --header_id_regex "\S+\s+(\S+?)\/" \ +# -o assign_taxonomy_rtax +#ls assign_taxonomy_rtax + +#assign_taxonomy.py \ +# --input_fasta_fp 'test-data/assign_taxonomy/mothur_ref_seq_set.fna' \ +# --id_to_taxonomy_fp 'test-data/assign_taxonomy/mothur_id_to_taxonomy.txt' \ +# --assignment_method 'mothur' \ +# --confidence 0.5 \ +# -o assign_taxonomy_mothur +#ls assign_taxonomy_mothur + +assign_taxonomy.py \ + --input_fasta_fp 'test-data/assign_taxonomy/mothur_ref_seq_set.fna' \ + --assignment_method 'sortmerna' \ + --min_consensus_fraction "0.51" \ + --similarity "0.9" \ + --sortmerna_e_value "1.0" \ + --sortmerna_coverage "0.9" \ + --sortmerna_best_N_alignments "5" \ + -o assign_taxonomy_sortmerna +cp assign_taxonomy_sortmerna/sortmerna_map.blast 'test-data/assign_taxonomy/sortmerna_map.blast' +cp assign_taxonomy_sortmerna/mothur_ref_seq_set_tax_assignments.txt 'test-data/assign_taxonomy/sortmerna_taxonomic_assignation.txt' +rm -rf assign_taxonomy_sortmerna +<<<<<<< HEAD +======= + +# filter_otus_from_otu_table +filter_otus_from_otu_table.py \ + --input_fp 'test-data/filter_otus_from_otu_table/otu_table.biom' \ + --min_count '2' \ + --max_count '1000' \ + --min_samples '5' \ + --max_samples '350' \ + --output_fp 'test-data/filter_otus_from_otu_table/filtered_otu_table.biom' + +filter_otus_from_otu_table.py \ + --input_fp 'test-data/filter_otus_from_otu_table/otu_table.biom' \ + --otu_ids_to_exclude_fp 'test-data/filter_otus_from_otu_table/chimeric_otus.txt' \ + --output_fp 'test-data/filter_otus_from_otu_table/chimera_filtered_otu_table.biom' + +filter_otus_from_otu_table.py \ + --input_fp 'test-data/filter_otus_from_otu_table/otu_table.biom' \ + --otu_ids_to_exclude_fp 'test-data/filter_otus_from_otu_table/chimeric_otus.txt' \ + --negate_ids_to_exclude \ + --output_fp 'test-data/filter_otus_from_otu_table/chimera_picked_otu_table.biom' +>>>>>>> Update of the Qiime_core generate_test_data script