changeset 0:415cb5d91168 draft default tip

planemo upload for repository https://github.com/picrust/picrust2 commit 972784d909912af20cd213fc56830fee79d83ca6
author iuc
date Sat, 04 Mar 2023 20:27:42 +0000
parents
children
files macros.xml metagenome_pipeline.xml test-data/16S_predicted_and_nsti.tsv.gz test-data/EC_predicted.tsv.gz test-data/ec_unstrat_test.txt.gz test-data/img_centroid_16S_aligned_head30.fna.gz test-data/img_centroid_16S_aligned_head30.hmm test-data/img_centroid_16S_aligned_head30.model test-data/img_centroid_16S_aligned_head30.tre test-data/known_traits.tsv.gz test-data/metadata.tsv test-data/out_tree.zip test-data/per_seq_func.tsv.gz test-data/pred_metagenome_strat.tsv.gz test-data/pred_metagenome_unstrat.tsv.gz test-data/seqtab_norm.tsv.gz test-data/study_seqs_full.fasta test-data/study_seqs_test.fasta test-data/study_seqs_test2.fasta test-data/table.biom test-data/table.mothur.shared test-data/weighted_nsti.tsv.gz test-data/workflow_seq_abun.biom
diffstat 23 files changed, 4319 insertions(+), 0 deletions(-) [+]
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/macros.xml	Sat Mar 04 20:27:42 2023 +0000
@@ -0,0 +1,344 @@
+<?xml version="1.0"?>
+<macros>
+    <token name="@TOOL_VERSION@">2.5.1</token>
+    <token name="@VERSION_SUFFIX@">0</token>
+    <token name="@PROFILE@">22.01</token>
+    <xml name="bio_tool">
+        <xrefs>
+            <xref type="bio.tools">picrust2</xref>
+        </xrefs>
+    </xml>
+    <xml name="requirements">
+        <requirements>
+            <requirement type="package" version="@TOOL_VERSION@">picrust2</requirement>
+            <yield/>
+        </requirements>
+    </xml>
+    <token name="@HELP_HEADER@">
+What it does
+============
+
+PICRUSt2 (Phylogenetic Investigation of Communities by Reconstruction of
+Unobserved States) is a tool for predicting functional abundances based only on
+marker gene sequences.
+
+Read more about the tool: https://github.com/picrust/picrust2/wiki
+    </token>
+    <xml name="citations">
+        <citations>
+            <citation type="doi">10.1038/s41587-020-0548-6</citation>
+        </citations>
+    </xml>
+
+
+
+    <token name="@VAR_ACCESS_FOO@"><![CDATA[
+    ## in picrust2_pipeline the parameters are within a section or a
+    ## conditional. in the separate sections they are not.
+    ## this function allows unified access
+    #def getVarCond($sec_cond, $var)
+        #if $varExists($var)
+            #return $getVar($var)
+        #else if $varExists($sec_cond + "." + $var)
+            #return $getVar($sec_cond + "." + $var)
+        #else
+            #return 
+        #end if
+    #end def
+    ]]></token>
+
+    <!-- macros for place_seqs -->
+
+    <token name="@PLACE_SEQS_PREPROCESSING@"><![CDATA[
+        ## determine project dir which is something like /lib/python3.8/site-packages/picrust2/default_files/
+        PROJECT_DIR=\$(python -c 'from picrust2 import default; print(default.project_dir)') &&
+        REF_DIR_BASE=\$PROJECT_DIR"/default_files/" &&
+        #if $getVarCond("place_seqs_section", "ref_dir.selector") == "custom"
+            mkdir -p custom/ &&
+            ln -s '$getVarCond("place_seqs_section", "ref_dir.custom_fna")' custom/custom.fna &&
+            ln -s '$getVarCond("place_seqs_section", "ref_dir.custom_hmm")' custom/custom.hmm &&
+            #if $getVarCond("place_seqs_section", "placement_tool") == "epa-ng"
+                ln -s '$getVarCond("place_seqs_section", "ref_dir.custom_model")' custom/custom.model &&
+            #else if $getVarCond("place_seqs_section", "placement_tool")
+                ln -s '$getVarCond("place_seqs_section", "ref_dir.custom_model")' custom/custom.raxml_info &&
+            #end if
+            ln -s '$getVarCond("place_seqs_section", "ref_dir.custom_tre")' custom/custom.tre &&
+        #end if
+    ]]></token>
+    <token name="@PLACE_SEQS_PARAMS@"><![CDATA[
+        --study_fasta '$getVarCond("place_seqs_section", "study_fasta")'
+        --placement_tool '$getVarCond("place_seqs_section", "placement_tool")'
+        ## set refdir (default is prokaryotic), even if the default will
+        ## be treated internally as `"\$REF_DIR_BASE"$ref_dir.selector`
+        ## picrust2 will complain about non-default reference files
+        ## specified with default pathway mapfile
+        #if $getVarCond("place_seqs_section", "ref_dir.selector") == "custom"
+            --ref_dir custom/
+        #else if $getVarCond("place_seqs_section", "ref_dir.selector") != "prokaryotic/pro_ref/"
+            --ref_dir "\$REF_DIR_BASE"$getVarCond("place_seqs_section", "ref_dir.selector")
+        #end if
+        --min_align $getVarCond("place_seqs_section", "min_align")
+    ]]></token>
+    <xml name="place_seqs_params">
+        <param argument="--study_fasta" type="data" format="fasta" label="Study sequences" help="Sequences of the representative OTUs and/or ASVs. Sequences need to be on the positive strand and the headerline should be only one field, i.e. no additional whitespace-delimited fields"/>
+        <param argument="--placement_tool" type="select" label="Placement tool" help="Used for placing sequences into reference tree">
+            <option value="epa-ng" selected="true">EPA-ng -  Fast, parallel, highly accurate Maximum Likelihood Phylogenetic Placement, by the team behind RAxML(-ng)</option>
+            <option value="sepp">SEPP - SATe-enabled Phylogenetic Placement</option>
+        </param>
+        <conditional name="ref_dir">
+            <param name="selector" type="select" label="Reference data" help="Used for sequence placement">
+                <option value="prokaryotic/pro_ref/" selected="true">Prokaryotic 16S rRNA gene</option>
+                <!-- TODO https://github.com/picrust/picrust2/issues/276 -->
+                <option value="fungi/fungi_ITS/">Fungal ITS (only for epa-ng)</option>
+                <option value="fungi/fungi_18S/">Fungal 18S (only for epa-ng)</option>
+                <option value="custom">Custom reference sequence files</option>
+            </param>
+            <when value="prokaryotic/pro_ref/"/>
+            <when value="fungi/fungi_ITS/"/>
+            <when value="fungi/fungi_18S/"/>
+            <when value="custom">
+                <param name="custom_fna" type="data" format="fasta" label="Multiple-sequence alignment of reference sequences"/>
+                <param name="custom_hmm" type="data" format="hmm2,hmm3" label="Hidden-markov model of the multiple-sequence alignment" help="The HMM of the alignment can be created using hmmbuild"/>
+                <param name="custom_tre" type="data" format="newick" label="Tree of the reference sequences"/>
+                <param name="custom_model" type="data" format="txt" label="Modelfile" help="For epa-ng: output by RaXmL specifying the best parameters for the tree, for sepp see examples in PICRUSt2 repository"/>
+            </when>
+        </conditional>
+        <param argument="--min_align" type="float" value="0.80" min="0.0" max="1.0" label="Minimum alignment length" help="Proportion of the total length of an input query sequence that must align with reference sequences. Sequences with lengths below this value will be excluded from the placement and all subsequent steps"/>
+    </xml>
+    <xml name="place_seqs_output" tokens="from_work_dir" token_label_suffix="">
+        <data name="out_tree" format="newick" from_work_dir="@FROM_WORK_DIR@/out.tre" label="${tool.name} on ${on_string}: Tree of reference and study 16S sequences @LABEL_SUFFIX@"/>
+        <collection name="place_seqs_intermediate_output" type="list" label="${tool.name} on ${on_string}: Intermediate files @LABEL_SUFFIX@" >
+            <discover_datasets pattern="__name_and_ext__" directory="@FROM_WORK_DIR@/intermediate/place_seqs/"/>
+            <yield/>
+        </collection>
+    </xml>
+
+    <!-- parameters of hsp -->
+    <token name="@HSP_PARAMS@"><![CDATA[
+    ## hsp and picrust2_pipeline 
+    #if $getVarCond("hsp_section", "trait_input.selector") == "default"
+        #if $varExists('trait_input.in_trait')
+            --in_trait '$trait_input.in_trait'
+        #else if $varExists('hsp_section.trait_input.in_traits')
+            --in_traits '$hsp_section.trait_input.in_traits'
+        #else
+            #raise Exception("wrapper must define in_trait / in_traits")
+        #end if
+    #else if $getVarCond("hsp_section", "trait_input.selector") == "custom"
+        #if $varExists('trait_input.observed_trait_table')
+            --observed_trait_table '$trait_input.observed_trait_table'
+        #else if $varExists('hsp_section.trait_input.custom_trait_tables')
+            --custom_trait_tables '$hsp_section.trait_input.custom_trait_tables'
+            --marker_gene_table '$hsp_section.trait_input.marker_gene_table'
+        #else
+            #raise Exception("wrapper must define observed_trait_table / (custom_trait_tables + marker_gene_table)")
+        #end if
+    #end if
+
+    
+    --hsp_method '$getVarCond("hsp_section", "hsp_method_options.hsp_method")'
+    #if $getVarCond("hsp_section", "hsp_method_options.hsp_method") == "mp"
+        --edge_exponent $getVarCond("hsp_section", "hsp_method_options.edge_exponent")
+    #else if $getVarCond("hsp_section", "") == "emp_prob"
+        ## special treatment of seed (option absent in picrust2_pipeline)
+        #if $varExists('hsp_method_options') and has_attrib($hsp_method_options, "seed")
+            --seed $hsp_method_options.seed
+        #end if
+    #end if
+    ## hsp and picrust2_pipeline use different CLI params to toggle NSTI computation
+    #if $varExists('calculate_NSTI')
+        $calculate_NSTI
+    #else if $varExists('hsp_section.skip_nsti')
+        $hsp_section.skip_nsti
+    #else
+        #raise Exception("wrapper must define calculate_NSTI / skip_nsti")
+    #end if
+    ]]></token>
+    <!-- - one of nsti_[true,false]value must be given: CLI param
+           differs between hsp and picrust2_pipeline
+         - nsti_checked must be set accordingly to true or false
+
+         furthermore there three yields can be used (2 names & 1 unnamed)
+         - the unnamed is used to add the seed param for hsp (for \-\-hsp_method emp_prob)
+         - the named yield `add_default_traits` is used to add two default trait tables for hsp
+         - the named yield `custom_traits` is used for the different parameters
+         to specify custom trait tables in hsp (observed_trait_table) and
+         picrust2_pipeline (custom_trait_tables, marker_gene_table)
+        -->
+    <xml name="hsp_params" tokens="nsti_checked,in_trait_arg,in_trait_multiple,in_trait_label_suff" token_nsti_truevalue="" token_nsti_falsevalue="" token_in_traits_help="">
+        <conditional name="trait_input">
+            <param name="selector" type="select" label="Trait table@IN_TRAIT_LABEL_SUFF@" help="i.e. which gene families to predict">
+                <option value="default" selected="true">Default trait table@IN_TRAIT_LABEL_SUFF@</option>
+                <option value="custom">Customized trait table@IN_TRAIT_LABEL_SUFF@</option>
+            </param>
+            <when value="default">
+                <param argument="@IN_TRAIT_ARG@" type="select" multiple="@IN_TRAIT_MULTIPLE@" optional="false" label="Pre-calculated trait table@IN_TRAIT_LABEL_SUFF@" help="@IN_TRAITS_HELP@">
+                    <option value="COG">Clusters of Orthologous Genes database (COG)</option>
+                    <option value="EC" selected="true">Enzyme Commission number database (EC number)</option>
+                    <option value="KO" selected="true">KEGG Orthology database (KO)</option>
+                    <option value="PFAM">Pfam database</option>
+                    <option value="TIGRFAM">TIGRFAM database</option>
+                    <yield name="add_default_traits"/>
+                </param>
+            </when>
+            <when value="custom">
+                <yield name="custom_traits"/>
+            </when>
+        </conditional>
+        <conditional name="hsp_method_options">
+            <param argument="--hsp_method" type="select" label="Hidden-state prediction method">
+                <option value="mp" selected="true">Predict discrete traits by: Maximum parsimony (mp)</option>
+                <option value="emp_prob">Predict discrete traits by: Empirical state probabilities across tips (emp_prob)</option>
+                <option value="subtree_average">Predict continuous traits by: Subtree averaging (subtree_average)</option>
+                <option value="pic">Predict continuous traits by: phylogentic independent contrast (pic)</option>
+                <option value="scp">Reconstruct continuous traits by: squared-change parsimony (scp)</option>
+            </param>
+            <when value="mp">
+                <param argument="--edge_exponent" type="float" value="0.5" min="0.0" label="Transition cost weight" help="Specifies weighting transition costs by the inverse length of edge lengths. If 0, then edge lengths do not influence predictions"/>
+            </when>
+            <when value="emp_prob">
+                <yield/>
+            </when>
+            <when value="subtree_average"/>
+            <when value="pic"/>
+            <when value="scp"/>
+        </conditional>
+        <param argument="@NSTI_TRUEVALUE@@NSTI_FALSEVALUE@" type="boolean" truevalue="@NSTI_TRUEVALUE@" falsevalue="@NSTI_FALSEVALUE@" checked="@NSTI_CHECKED@" label="Calculate NSTI and add to output file" help="And add to output file"/>
+    </xml>
+
+    <!-- parameters of the metagenome_pipeline -->
+
+    <token name="@PREPARE_METAGENOME_PIPELINE_PARAMS@"><![CDATA[
+#set $_input=$getVarCond("metagenome_pipeline_section", "input")
+#if $_input.ext == "mothur.shared"
+    #set ext="msf"
+#else if $_input.ext == "tabular"
+    #set ext="tsv"
+#else if $_input.ext.startswith('biom')
+    #set ext="biom"
+#else
+    >&2 "unknown extension $_input.ext"
+    exit 1;
+#end if
+ln -s '$input' 'input.$ext' &&
+    ]]></token>
+    <token name="@METAGENOME_PIPELINE_PARAMS@"><![CDATA[
+--input 'input.$ext'
+#if $getVarCond("metagenome_pipeline_section", "input_options.selector") == "ASV"
+    --min_reads $getVarCond("metagenome_pipeline_section", "input_options.min_reads")
+    --min_samples $getVarCond("metagenome_pipeline_section", "input_options.min_samples")
+#end if
+$getVarCond("metagenome_pipeline_section", "stratified_output.selector")
+#if $getVarCond("metagenome_pipeline_section", "stratified_output.selector") != ''
+    $getVarCond("metagenome_pipeline_section", "stratified_output.wide_table")
+#end if
+$getVarCond("metagenome_pipeline_section", "skip_norm")
+--max_nsti $getVarCond("metagenome_pipeline_section", "max_nsti")
+    ]]></token>
+    <xml name="metagenome_pipeline_params" tokens="stratified_arg">
+        <param argument="--input" type="data" format="tabular,biom1,biom2,mothur.shared" label="Sequence abundance table (OTUs or ASVs)" help="The sequence abundances should be in read counts and not relative abundances. The tool will normalize the input sequence abundance table by the predicted number of marker genes"/>
+        <conditional name="input_options">
+            <param name="selector" type="select" label="Sequence abundance table type">
+                <option value="OTU" selected="true">Operational Taxonomic Units (OTU)</option>
+                <option value="ASV">Amplicon Sequence Variants (ASV)</option>
+            </param>
+            <when value="OTU">
+            </when>
+            <when value="ASV">
+                <param argument="--min_reads" type="integer" min="1" value="1" label="Minimum number of reads across all samples for each input ASV" help="ASVs below this cut-off will be counted as part of the RARE category in the stratified output"/>
+                <param argument="--min_samples" type="integer" min="1" value="1" label="Minimum number of samples that an ASV needs to be identfied within" help="ASVs below this cut-off will be counted as part of the RARE category in the stratified output"/>
+            </when>
+        </conditional>
+        <yield/>
+        <param argument="--max_nsti" type="float" min="0" value="2.0" label="Maximum Nearest-sequenced taxon index (NSTI)" help="Sequences with larger values will be excluded"/>
+        <conditional name="stratified_output">
+            <param argument="@STRATIFIED_ARG@" name="selector" type="select" label="Generate an output table stratified by sequences">
+                <option value="" selected="true">No</option>
+                <option value="@STRATIFIED_ARG@">Yes [will increase run-time]</option>
+            </param>
+            <when value=""/>
+            <when value="@STRATIFIED_ARG@">
+                <param argument="--wide_table" type="boolean" truevalue="--wide_table" falsevalue="" checked="false" label="Output wide-format stratified table of metagenome predictions" help="This is the deprecated method of generating stratified tables since it is extremely memory intensive"/>
+            </when>
+        </conditional>
+        <param argument="--skip_norm" type="boolean" truevalue="--skip_norm" falsevalue="" checked="false" label="Skip normalizing sequence abundances by predicted marker gene copy numbers"/>
+    </xml>
+
+    <!-- pathway_pipeline macros-->
+    <token name="@PATHWAY_PIPELINE_PARAMS@"><![CDATA[
+## in pathway_pipeline its --map while in picrust2_pipeline its --pathway_map
+#if $varExists('map') and $map
+    --map '$map'
+#else if $varExists('predict_pathways.pathway_map') and $predict_pathways.pathway_map
+    --pathway_map '$predict_pathways.pathway_map'
+#end if
+$getVarCond("predict_pathways", "skip_minpath")
+$getVarCond("predict_pathways", "no_gap_fill")
+$getVarCond("predict_pathways", "regrouping.no_regroup")
+#if $getVarCond("predict_pathways", "regrouping.no_regroup") == '' and $getVarCond("predict_pathways", "regrouping.regroup_map")
+    --regroup_map '$getVarCond("predict_pathways", "regroup_map")'
+#end if
+$getVarCond("predict_pathways", "strat_output.per_sequence_contrib")
+#if $getVarCond("predict_pathways", "strat_output.per_sequence_contrib") != ""
+    --per_sequence_function '$getVarCond("predict_pathways", "strat_output.per_sequence_function")'
+    --per_sequence_abun '$getVarCond("predict_pathways", "strat_output.per_sequence_abun")'
+    $getVarCond("predict_pathways", "strat_output.wide_table")
+#end if
+$getVarCond("predict_pathways", "coverage")
+    ]]></token>
+    <xml name="pathway_pipeline_params" tokens="mapargument">
+        <param argument="@MAPARGUMENT@" type="data" format="txt,tabular" optional="true" label="Customized table mapping of pathways to reactions" help="Default mapping file is Maps MetaCyc reactions to prokaryotic MetaCyc pathways"/>
+        <param argument="--skip_minpath" type="boolean" truevalue="" falsevalue="--skip_minpath" checked="true" label="Run MinPath to identify which pathways are present as a first pass"/>
+        <param argument="--no_gap_fill" type="boolean" truevalue="" falsevalue="--no_gap_fill" checked="true" label="Perform gap filling before predicting pathway abundances"/>
+        <conditional name="regrouping">
+            <param argument="--no_regroup" type="select" label="Regroup input gene families to reactions">
+                <option value="">Yes</option>
+                <option value="--no_regroup">No</option>
+            </param>
+            <when value="">
+                <param argument="--regroup_map" type="data" format="tabular" optional="true" label="Mapfile of ids to regroup gene families to before running MinPath" help="Keep empty to use the default mapping file (ec_level4_to_metacyc_rxn.tsv contained in PICRUSt2)"/>
+            </when>
+            <when value="--no_regroup"/>
+        </conditional>
+        <conditional name="strat_output">
+            <param argument="--per_sequence_contrib" type="select" label="Calculate pathway abundances for each individual predicted genome" help="The output will be the predicted pathway abundance contributed by each individual sequence. This is in contrast to the default stratified output, which is the contribution to the community-wide pathway abundances. Note this will greatly increase the runtime. Experimental pathway coverage stratified by contributing sequence will also be output when --coverage is set">
+                <option value="--per_sequence_contrib">Yes</option>
+                <option value="" selected="true">No</option>
+            </param>
+            <when value="--per_sequence_contrib">
+                <param argument="--per_sequence_abun" type="data" format="tabular" label="Table of sequence abundances across samples normalized by marker copy number" help="Typically the normalized sequence abundance table output at the metagenome pipeline step. This input is required when the per sequence contrib option is set"/>
+                <param argument="--per_sequence_function" type="data" format="tabular" label="Table of function abundances per sequence, which was outputted at the hidden-state prediction step" help="This input is required when the per sequence contrib option is set. Note that this file should be the same input table as used for the metagenome pipeline step"/>
+                <!-- TODO maybe deprecate .. because complicated anyway as its used in metagenome_pipeline as well and help says deprecated as well -->
+                <param argument="--wide_table" type="boolean" truevalue="--wide_table" falsevalue="" checked="false" label="Output wide-format stratified table (DEPRECATED)" help="Instead of the metagenome contribution table. This is the deprecated method of generating
+                stratified tables since it is extremely memory intensive"/>
+            </when>
+            <when value=""/>
+        </conditional>
+        <param argument="--coverage" type="boolean" truevalue="--coverage" falsevalue="" checked="false" label="Calculate pathway coverages as well as abundances" help="Experimental and only useful for advanced users"/>
+    </xml>
+    <xml name="pathways_output" tokens="from_work_dir" token_label_suffix="">
+        <data name="pathways_output" format="tabular" from_work_dir="@FROM_WORK_DIR@/pathways_out/path_abun_unstrat.tabular" label="${tool.name} on ${on_string}: Pathway abundances">
+            <yield/>
+        </data>
+        <collection name="pathways_intermediate_output" type="list" label="${tool.name} on ${on_string}: Intermediate files @LABEL_SUFFIX@" >
+            <discover_datasets pattern="__name_and_ext__" directory="@FROM_WORK_DIR@/intermediate/pathways/" format="tabular"/>
+            <yield name="intermediate_filter"/>
+        </collection>
+        <data format="tabular" name="path_cov_unstrat" from_work_dir="@FROM_WORK_DIR@/pathways_out/path_cov_unstrat.tabular" label="${tool.name} on ${on_string}: Pathway coverage @LABEL_SUFFIX@" >
+            <yield/>
+            <yield name="coverage_filter"/>
+        </data>
+        <data format="tabular" name="path_abun_unstrat_per_seq" from_work_dir="@FROM_WORK_DIR@/pathways_out/path_abun_unstrat_per_seq.tabular" label="${tool.name} on ${on_string}: Pathway abundance unstratified per sequence @LABEL_SUFFIX@" >
+            <yield/>
+            <yield name="per_sequence_filter"/>
+        </data>
+        <data format="tabular" name="path_abun_predictions" from_work_dir="@FROM_WORK_DIR@/pathways_out/path_abun_predictions.tabular" label="${tool.name} on ${on_string}: Pathway abundance predictions @LABEL_SUFFIX@" >
+            <yield/>
+            <yield name="per_sequence_filter"/>
+        </data>
+        <data format="tabular" name="path_abun_contrib" from_work_dir="@FROM_WORK_DIR@/pathways_out/path_abun_contrib.tabular" label="${tool.name} on ${on_string}: Pathway abundance contributed @LABEL_SUFFIX@" >
+            <yield/>
+            <yield name="per_sequence_filter"/>
+        </data>
+    </xml>
+</macros>
\ No newline at end of file
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/metagenome_pipeline.xml	Sat Mar 04 20:27:42 2023 +0000
@@ -0,0 +1,213 @@
+<tool id="picrust2_metagenome_pipeline" name="PICRUSt2 Metagenome prediction" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="@PROFILE@">
+    <description>to generate per-sample metagenome functional profiles based on the predicted functions for each study sequence</description>
+    <macros>
+        <import>macros.xml</import>
+    </macros>
+    <expand macro="bio_tool"/>
+    <expand macro="requirements"/>
+    <version_command>metagenome_pipeline.py -v</version_command>
+    <command detect_errors="exit_code"><![CDATA[
+@VAR_ACCESS_FOO@
+@PREPARE_METAGENOME_PIPELINE_PARAMS@
+metagenome_pipeline.py
+    --function '$function'
+    --marker '$marker'
+    @METAGENOME_PIPELINE_PARAMS@
+    --out_dir 'metagenome_output'
+&& find metagenome_output -name "*.gz" -exec gunzip {} \;
+&& true
+    ]]></command>
+    <inputs>
+        <expand macro="metagenome_pipeline_params" stratified_arg="--strat_out">
+            <param argument="--function" type="data" format="tabular" label="Table with predicted gene family copy numbers" help="This table is generated by the tool for Hidden state prediction (HSP)"/>
+            <param argument="--marker" type="data" format="tabular" label="Table of predicted marker gene (16S or other) copy numbers" help="This table is generated by the tool for Hidden state prediction (HSP)"/>
+        </expand>
+    </inputs>
+    <outputs>
+        <data name="pred_metagenome_unstrat" format="tabular" from_work_dir="metagenome_output/pred_metagenome_unstrat.tsv" label="${tool.name} on ${on_string}: Predicted per-sample metagenome functional profiles"/>
+        <data name="seqtab_norm" format="tabular" from_work_dir="metagenome_output/seqtab_norm.tsv" label="${tool.name} on ${on_string}: Normalized sequence abundance table"/>
+        <data name="weighted_nsti" format="tabular" from_work_dir="metagenome_output/weighted_nsti.tsv" label="${tool.name} on ${on_string}: Weighted nearest-sequenced taxon index (NSTI) values per-sample"/>
+        <data name="strat_output" format="tabular" from_work_dir="metagenome_output/pred_metagenome_contrib.tsv" label="${tool.name} on ${on_string}: Predicted per-sample metagenome functional profiles, stratified by sequence ids (i.e. taxonomic contributors)" >
+            <filter>stratified_output['selector'] != '' and not stratified_output['wide_table']</filter>
+        </data>
+        <data name="wide_table_output" format="tabular" from_work_dir="metagenome_output/pred_metagenome_strat.tsv" label="${tool.name} on ${on_string}: Predicted per-sample metagenome functional profiles, wide-format stratified by sequence ids (i.e. taxonomic contributors)" >
+            <filter>stratified_output['selector'] != '' and stratified_output['wide_table']</filter>
+        </data>
+    </outputs>
+    <tests>
+        <test expect_num_outputs="3">
+            <param name="input" ftype="mothur.shared" value="table.mothur.shared"/>
+            <param name="function" ftype="tabular" value="EC_predicted.tsv.gz"/>
+            <param name="marker" ftype="tabular" value="16S_predicted_and_nsti.tsv.gz"/>
+            <param name="max_nsti" value="2.0"/>
+            <param name="skip_norm" value="false"/>
+            <conditional name="stratified_output">
+                <param name="selector" value=""/>
+            </conditional>
+            <conditional name="input_options">
+                <param name="selector" value="OTU"/>
+            </conditional>
+            <output name="pred_metagenome_unstrat" ftype="tabular">
+                <assert_contents>
+                    <has_text text="function"/>
+                    <has_n_lines n="1000"/>
+                </assert_contents>
+            </output>
+            <output name="seqtab_norm" ftype="tabular">
+                <assert_contents>
+                    <has_text text="normalized"/>
+                    <has_n_lines n="38"/>
+                </assert_contents>
+            </output>
+            <output name="weighted_nsti" ftype="tabular">
+                <assert_contents>
+                    <has_text text="weighted_NSTI"/>
+                    <has_n_lines n="25"/>
+                </assert_contents>
+            </output>
+        </test>
+        <test expect_num_outputs="3">
+            <param name="input" ftype="biom1" value="table.biom"/>
+            <param name="function" ftype="tabular" value="EC_predicted.tsv.gz"/>
+            <param name="marker" ftype="tabular" value="16S_predicted_and_nsti.tsv.gz"/>
+            <param name="max_nsti" value="2.0"/>
+            <param name="skip_norm" value="false"/>
+            <conditional name="stratified_output">
+                <param name="selector" value=""/>
+            </conditional>
+            <conditional name="input_options">
+                <param name="selector" value="ASV"/>
+                <param name="min_reads" value="1"/>
+                <param name="min_samples" value="1"/>
+            </conditional>
+            <output name="pred_metagenome_unstrat" ftype="tabular">
+                <assert_contents>
+                    <has_text text="function"/>
+                    <has_n_lines n="1000"/>
+                </assert_contents>
+            </output>
+            <output name="seqtab_norm" ftype="tabular">
+                <assert_contents>
+                    <has_text text="normalized"/>
+                    <has_n_lines n="38"/>
+                </assert_contents>
+            </output>
+            <output name="weighted_nsti" ftype="tabular">
+                <assert_contents>
+                    <has_text text="weighted_NSTI"/>
+                    <has_n_lines n="25"/>
+                </assert_contents>
+            </output>
+        </test>
+        <test expect_num_outputs="4">
+            <param name="input" ftype="biom1" value="table.biom"/>
+            <param name="function" ftype="tabular" value="EC_predicted.tsv.gz"/>
+            <param name="marker" ftype="tabular" value="16S_predicted_and_nsti.tsv.gz"/>
+            <param name="max_nsti" value="2.0"/>
+            <param name="skip_norm" value="false"/>
+            <conditional name="stratified_output">
+                <param name="selector" value="--strat_out"/>
+                <param name="wide_table" value="true"/>
+            </conditional>
+            <conditional name="input_options">
+                <param name="selector" value="ASV"/>
+                <param name="min_reads" value="1"/>
+                <param name="min_samples" value="1"/>
+            </conditional>
+            <output name="pred_metagenome_unstrat" ftype="tabular">
+                <assert_contents>
+                    <has_text text="function"/>
+                    <has_n_lines n="1000"/>
+                </assert_contents>
+            </output>
+            <output name="seqtab_norm" ftype="tabular">
+                <assert_contents>
+                    <has_text text="normalized"/>
+                    <has_n_lines n="38"/>
+                </assert_contents>
+            </output>
+            <output name="weighted_nsti" ftype="tabular">
+                <assert_contents>
+                    <has_text text="weighted_NSTI"/>
+                    <has_n_lines n="25"/>
+                </assert_contents>
+            </output>
+            <output name="wide_table_output" ftype="tabular">
+                <assert_contents>
+                    <has_text text="EC:1.1.1.1"/>
+                    <has_n_lines n="18101"/>
+                </assert_contents>
+            </output>
+        </test>
+        <test expect_num_outputs="4">
+            <param name="input" ftype="biom1" value="table.biom"/>
+            <param name="function" ftype="tabular" value="EC_predicted.tsv.gz"/>
+            <param name="marker" ftype="tabular" value="16S_predicted_and_nsti.tsv.gz"/>
+            <param name="max_nsti" value="2.0"/>
+            <param name="skip_norm" value="false"/>
+            <conditional name="stratified_output">
+                <param name="selector" value="--strat_out"/>
+                <param name="wide_table" value="false"/>
+            </conditional>
+            <conditional name="input_options">
+                <param name="selector" value="ASV"/>
+                <param name="min_reads" value="1"/>
+                <param name="min_samples" value="1"/>
+            </conditional>
+            <output name="pred_metagenome_unstrat" ftype="tabular">
+                <assert_contents>
+                    <has_text text="function"/>
+                    <has_n_lines n="1000"/>
+                </assert_contents>
+            </output>
+            <output name="seqtab_norm" ftype="tabular">
+                <assert_contents>
+                    <has_text text="normalized"/>
+                    <has_n_lines n="38"/>
+                </assert_contents>
+            </output>
+            <output name="weighted_nsti" ftype="tabular">
+                <assert_contents>
+                    <has_text text="weighted_NSTI"/>
+                    <has_n_lines n="25"/>
+                </assert_contents>
+            </output>
+            <output name="strat_output" ftype="tabular">
+                <assert_contents>
+                    <has_text text="100CHE6KO"/>
+                    <has_n_lines n="298016"/>
+                </assert_contents>
+            </output>
+        </test>
+    </tests>
+    <help><![CDATA[
+@HELP_HEADER@
+
+Metagenome Pipeline
+===================
+Reads in a sequence abundance table (the abundances of OTUs or ASVs in BIOM, TSV, or mothur shared file format), the predicted marker gene abundances, and the predicted gene family abundances (these last two files are output by hsp.py).
+
+Note
+====
+Per-sample metagenome functional profiles are generated based on the predicted functions for each study sequence. Note that typically these sequences correspond to OTUs or ASVs. The specified sequence abundance table will be normalized by the predicted number of marker gene copies before outputting the final files by default. The sample metagenome table stratified by contributing ASVs can optionally also be output.
+
+The sequence abundances should be in read counts and not relative abundances. It will normalize the input sequence abundance table by the predicted number of marker genes. It will then determine the predicted functional profiles per sample. Output stratified by sequence ids (i.e. taxonomic contributors) will also be output if the --strat_out option is used. Also, rare ASVs can be collapsed into the same category in the stratified output table based on the --min_reads and --min_samples options. Note the output files are tab-delimited even if the input files was in BIOM format. The normalized sequence abundance table and the weighted nearest-sequenced taxon index values per-sample will also be output to the output directory as separate files.
+
+Input
+=====
+Table of sequence abundances (BIOM, TSV, or mothur shared file format).
+
+Output
+======
+Metagenome predictions:
+  1. Predicted per-sample metagenome functional profiles
+  2. Normalized sequence abundance table
+  3. Weighted nearest-sequenced taxon index (NSTI) values per-sample
+  4. When chosen within the tool's parameters: Predicted per-sample metagenome functional profiles, stratified by sequence ids (i.e. taxonomic contributors)
+  5. When chosen within the tool's parameters: Predicted per-sample metagenome functional profiles, wide-format stratified by sequence ids (i.e. taxonomic contributors)
+
+    ]]></help>
+    <citations>
+        <citation type="doi">10.1038/s41587-020-0548-6</citation>
+    </citations>
+</tool>
\ No newline at end of file
Binary file test-data/16S_predicted_and_nsti.tsv.gz has changed
Binary file test-data/EC_predicted.tsv.gz has changed
Binary file test-data/ec_unstrat_test.txt.gz has changed
Binary file test-data/img_centroid_16S_aligned_head30.fna.gz has changed
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/img_centroid_16S_aligned_head30.hmm	Sat Mar 04 20:27:42 2023 +0000
@@ -0,0 +1,3680 @@
+HMMER3/f [3.1b2 | February 2015]
+NAME  img_centroid_16S_aligned_head30
+LENG  1219
+MAXL  1483
+ALPH  DNA
+RF    no
+MM    no
+CONS  yes
+CS    no
+MAP   yes
+DATE  Wed Oct 10 17:19:17 2018
+NSEQ  15
+EFFN  1.680908
+CKSUM 4036506208
+STATS LOCAL MSV      -13.3981  0.69577
+STATS LOCAL VITERBI  -14.9113  0.69577
+STATS LOCAL FORWARD   -6.1644  0.69577
+HMM          A        C        G        T   
+            m->m     m->i     m->d     i->m     i->i     d->m     d->d
+  COMPO   1.37152  1.48531  1.23220  1.47755
+          1.26208  1.34388  1.26814  1.74440
+          0.30721  1.43238  3.65865  3.23874  0.04000  0.00000        *
+      1   0.35395  2.43840  2.24483  2.25526     43 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.14543  3.65865  2.21110  1.46634  0.26236  1.09861  0.40547
+      2   2.12949  2.47053  0.36672  2.26761     44 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05789  3.57112  3.57112  1.46634  0.26236  1.83302  0.17427
+      3   1.87475  1.35652  1.96136  0.80211     45 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05789  3.57112  3.57112  1.46634  0.26236  1.83302  0.17427
+      4   1.83494  2.02013  0.70400  1.54583     46 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05789  3.57112  3.57112  1.46634  0.26236  0.38546  1.13987
+      5   2.26480  2.65592  0.30114  2.45412     47 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+      6   2.31076  0.40279  2.41667  1.94391     48 c - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+      7   2.26480  2.65592  0.30114  2.45412     49 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+      8   1.40350  1.84283  0.86745  1.73799     50 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+      9   0.35395  2.43840  2.24483  2.25526     51 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     10   2.31076  0.40279  2.41667  1.94391     52 c - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     11   2.26480  2.65592  0.30114  2.45412     53 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     12   2.26480  2.65592  0.30114  2.45412     54 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     13   2.26480  2.65592  0.30114  2.45412     55 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     14   2.18399  2.01659  2.27039  0.42920     56 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     15   2.26480  2.65592  0.30114  2.45412     57 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     16   0.35395  2.43840  2.24483  2.25526     58 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     17   2.26480  2.65592  0.30114  2.45412     59 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     18   2.18399  2.01659  2.27039  0.42920     60 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     19   0.35395  2.43840  2.24483  2.25526     61 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     20   0.35395  2.43840  2.24483  2.25526     62 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     21   1.79173  1.21347  1.71354  1.03300     63 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     22   1.32707  2.16669  0.74615  1.92414     64 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     23   1.97388  0.88950  2.07752  1.12399     65 c - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     24   1.49580  1.40755  1.17888  1.49805     66 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     25   2.18399  2.01659  2.27039  0.42920     67 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     26   1.33312  1.83427  0.92426  1.71595     68 g - - -
+          1.38629  1.38629  1.38629  1.38629
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+     27   2.26480  2.65592  0.30114  2.45412     69 g - - -
+          1.38629  1.38629  1.38629  1.38629
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+     28   1.54099  2.05191  0.74951  1.68877     70 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     29   1.12395  1.83995  1.82658  1.03502     71 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.31051  3.65865  1.42231  1.46634  0.26236  1.09861  0.40547
+     30   0.90424  1.89330  1.35760  1.67504     72 a - - -
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+     31   0.35395  2.43840  2.24483  2.25526     73 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     32   1.37215  1.25103  1.81122  1.21479     74 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.11970  3.65865  2.44132  1.46634  0.26236  1.09861  0.40547
+     33   1.76383  0.64638  2.07292  1.72117     75 c - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05646  3.59542  3.59542  1.46634  0.26236  0.46501  0.98920
+     34   2.18399  2.01659  2.27039  0.42920     76 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     35   1.57447  2.28497  0.57576  2.04929     77 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     36   2.14687  0.55357  2.25558  1.59235     78 c - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     37   2.31076  0.40279  2.41667  1.94391     79 c - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     38   1.95156  1.35767  2.05140  0.75049     80 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     39   1.39629  1.73037  1.15986  1.34041     81 g - - -
+          1.38629  1.38629  1.38629  1.38629
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+     40   1.24090  1.83544  1.25832  1.31975     82 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     41   1.47642  1.52088  1.83510  0.93286     83 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     42   0.88306  2.06205  1.21204  1.82200     84 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     43   1.90426  1.73231  0.65030  1.88189     85 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     44   1.11012  1.57207  1.77062  1.22881     86 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     45   1.62033  1.62523  0.93098  1.55527     87 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     46   1.78234  1.78827  0.83700  1.46318     88 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     47   1.82942  2.41771  0.44802  2.19398     89 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     48   2.26480  2.65592  0.30114  2.45412     90 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     49   2.26480  2.65592  0.30114  2.45412     91 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05291  3.65865  3.65865  1.46634  0.26236  1.09861  0.40547
+     50   0.35395  2.43840  2.24483  2.25526     92 a - - -
+          1.38629  1.38629  1.38629  1.38629
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+          0.08897  3.65865  2.82409  1.46634  0.26236  1.09861  0.40547
+   1189   1.17464  1.08425  1.85569  1.62674   1235 c - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.08830  3.62448  2.84990  1.46634  0.26236  1.45950  0.26442
+   1190   1.75151  2.29767  0.51046  2.07325   1236 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.05662  3.59280  3.59280  1.46634  0.26236  1.69992  0.20175
+   1191   1.71361  1.70728  1.01853  1.28265   1237 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.30229  3.59280  1.45520  1.46634  0.26236  0.45476  1.00677
+   1192   1.78585  1.04633  1.84861  1.12804   1238 c - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1193   1.53216  1.63964  1.03852  1.44434   1239 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1194   1.40755  1.31561  1.68318  1.20009   1240 t - - -
+          1.57195  0.97530  1.57195  1.57195
+          0.39201  1.22969  3.44458  0.20563  1.68272  2.34938  0.10029
+   1195   1.64236  1.34649  1.30431  1.29111   1242 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1196   0.58838  2.05131  1.82480  1.86460   1243 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1197   1.13404  1.29969  1.67466  1.52197   1244 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1198   1.94221  2.21786  0.48684  2.01586   1245 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1199   1.94221  2.21786  0.48684  2.01586   1246 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1200   1.57314  1.71601  1.78160  0.81090   1247 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1201   1.59962  2.05950  0.67079  1.83756   1248 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1202   1.72062  1.85516  0.87773  1.39073   1249 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1203   1.94221  2.21786  0.48684  2.01586   1250 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1204   0.82758  1.92935  1.43817  1.71318   1251 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1205   1.77374  1.15390  1.83582  1.03447   1252 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1206   1.17100  1.55167  1.62536  1.26866   1253 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1207   1.35694  1.51038  1.19593  1.51730   1254 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1208   0.58838  2.05131  1.82480  1.86460   1255 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1209   1.88494  1.75948  1.92667  0.63413   1256 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1210   1.94221  2.21786  0.48684  2.01586   1257 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1211   0.58838  2.05131  1.82480  1.86460   1258 a - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1212   1.77113  1.21984  1.83225  0.98208   1259 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1213   1.88494  1.75948  1.92667  0.63413   1260 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1214   1.94221  2.21786  0.48684  2.01586   1261 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1215   1.94221  2.21786  0.48684  2.01586   1262 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1216   1.94221  2.21786  0.48684  2.01586   1263 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1217   1.94221  2.21786  0.48684  2.01586   1264 g - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1218   1.88494  1.75948  1.92667  0.63413   1265 t - - -
+          1.38629  1.38629  1.38629  1.38629
+          0.06597  3.44458  3.44458  1.46634  0.26236  2.34938  0.10029
+   1219   1.94221  2.21786  0.48684  2.01586   1266 g - - -
+          1.09892  1.67037  1.28581  1.59867
+          0.35693  1.20338        *  2.84032  0.06018  0.00000        *
+//
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/img_centroid_16S_aligned_head30.model	Sat Mar 04 20:27:42 2023 +0000
@@ -0,0 +1,1 @@
+GTR{1.00319/2.79077/1.5301/0.87441/3.83966/1}+FU{0.229585/0.22008/0.298596/0.251739}+G4m{0.453141}, noname = 1-1582
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/img_centroid_16S_aligned_head30.tre	Sat Mar 04 20:27:42 2023 +0000
@@ -0,0 +1,1 @@
+(2511231175_test:0.00417761132822863299,(2545824660_test:0.00000100000050002909,((2519899794_test:0.01391402030675637121,2511231166_test:0.00665538545236680611):0.06273674610653526273,(2511231070_test:0.19422053808301012467,((2513237222_test:0.12148702101162445199,((2511231199_test:0.00850377323667460445,((2511231131_test:0.00170862468873008008,2519899561_test:0.00086957288189634858):0.00880326207108816233,(2511231164_test:0.00085719433669428577,2531839192_test:0.00000100000050002909):0.00346417887233879630):0.00395490298225046298):0.08865976442951280234,(2511231155_test:0.07140328680188372246,2501846300_test:0.05302326674590653044):0.00922416804481126715):0.01707145563721565798):0.06770060455925869247,2516143006_test:0.22117635610892677489):0.02999032625748145400):0.06716203994881037032):0.09307592027052699613):0.00082512996392334335,2511231196_test:0.00000100000050002909):0.0;
Binary file test-data/known_traits.tsv.gz has changed
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/metadata.tsv	Sat Mar 04 20:27:42 2023 +0000
@@ -0,0 +1,25 @@
+SampleID	Facility	Genotype
+100CHE6KO	PaloAlto	KO
+101CHE6WT	PaloAlto	WT
+102CHE6WT	PaloAlto	WT
+103CHE6KO	PaloAlto	KO
+104CHE6KO	PaloAlto	KO
+20CMK6KO	Dalhousie	KO
+21CMK6WT	Dalhousie	WT
+22CMK6KO	Dalhousie	KO
+23CMK6WT	Dalhousie	WT
+24CMK6KO	Dalhousie	KO
+26CMK6WT	Dalhousie	WT
+30CMK6KO	Dalhousie	KO
+32CMK6KO	Dalhousie	KO
+33CMK6WT	Dalhousie	WT
+34CMK6KO	Dalhousie	KO
+36CMK6WT	Dalhousie	WT
+81CHE6WT	PaloAlto	WT
+82CHE6WT	PaloAlto	WT
+84CHE6KO	PaloAlto	KO
+86CHE6WT	PaloAlto	WT
+87CHE6KO	PaloAlto	KO
+88CHE6KO	PaloAlto	KO
+99CHE6KO	PaloAlto	KO
+9CMK6KO	Dalhousie	KO
Binary file test-data/out_tree.zip has changed
Binary file test-data/per_seq_func.tsv.gz has changed
Binary file test-data/pred_metagenome_strat.tsv.gz has changed
Binary file test-data/pred_metagenome_unstrat.tsv.gz has changed
Binary file test-data/seqtab_norm.tsv.gz has changed
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/study_seqs_full.fasta	Sat Mar 04 20:27:42 2023 +0000
@@ -0,0 +1,10 @@
+>02905cfb87861c837dde629596d9272b
+TGGTCTTGACATCCCTCTGACGAGTGAGTAATGTCGCTTTCCCTTCGGGGCAGAGGAGACAGGTGGTGCATGGTTGTCGTCAGCTCGTGTCGTGAGATGTTGGGTTAAGTCCCGCAACGAGCGCAACCCTTATCTTTAGTAGCCAGCAGTAAGATGGGAACTCTAGAGAGACTGCCGGGGATAACCCGGAGGAAGGTGGGGATGACGTCAAATCATCATGCCCCTTATGACCAGGGCTACACACGTGCTACAATGGCGTAAACAGAGGGAAGCGACCCTGTGAAGGTAAGCAAATCCCAAAAATAACGTCTCAGTTCGGATTGTAGTCTGCAACTCGACTACATGAAGCTGGAATCGCTAGTAATCGCGAATCAGAATGTCGCGGTGAATACGTTCCCGG
+>03562a221b15ef37470e4567e112f35f
+CGGGCTTGAAAGTTAGTGACCGGAGATGAAAGTCTCCTTTCTATAGCAATATAGACACGAAACTAGGTGCTGCATGGTTGTCGTCAGCTCGTGCCGTGAGGTGTCGGCTTAAGTGCCATAACGAGCGCAACCCTTTTCTTCAGTTACCATCATTAAGTTGGGGACTCTGAAGACACTGCCATCGTAAGATGTGAGGAAGGATGGGATGACGTCAAATCAGCACGGCCCTTACGTCCGGGGCGACACACGTGTTACAATGGCGTGGACAGCGGGGAACGAGGTGGCGACACCGAGGGAATCCCGAAACCACGTCCCAGTTCGGATTGGAGTCTGCAACTCGACTCCATGAAGCTGGATTCGCTAGTAATCGCGCATCAGCCATGGCGCGGTGAATACGTTC
+>03af6a6644bc358ee6716cbb44a5a479
+AGGGCTTGACATATATCAGAATATACTAGAGATAGTATAGTCCTTCGGGACTGATATACAGGTGGTGCATGGTTGTCGTCAGCTCGTGTCGTGAGATGTTGGGTTAAGTCCCGCAACGAGCGCAACCCCTGTCCTTAGTTGCCAGCACGTAAAGGTGGGAACTCTAAGGAGACTGCCGGTGATAAATCGGAGGAAGGTGGGGATGACGTCAAATCATCATGCCCTTTATGTCCTGGGCTACACACGTACTACAATGGCCGTGACAGAGAGAAACGAAACAGTGATGTGGAGTAAAACTCTAAAAGCGGTCTCAGTTCGGATTGAAGGCTGAAATTCGCCTTCATGAAGCTGGAATTGCTAGTAATGGCAGGTCAGCATACTGCCGTGAATACGTTCCCGG
+>03cb13abd3f1c5444360e489460bdfb0
+CGGGCTCAAACGGAAGGGGACGGATTGTGAAAGCAGTCTTTCCTTCGGGACCGCTTCCGAGGTGCTGCATGGTTGTCGTCAGCTCGTGCCGTGAGGTGTCGGCTTAAGTGCCATAACGAGCGCAACCCCTACCGACAGTTGCTAACAGATTAAGCTGAGGACTCTGTCGGGACTGCCGGCGCAAGCTGTGAGGAAGGCGGGGATGACGTCAAATCAGCACGGCCCTTACGTCCGGGGCGACACACGTGTTACAATGGCAGGTACAGCGGGAAGCCACCCGGCGACGGGGCGCGGAACCCGAAAACCTGTCTCAGTTCGGATTGGAGTCTGCAACCCGACTCCATGAAGCTGGATTCGCTAGTAATCGCGCATCAGCCACGGCGCGGTGAATACGTTCCCG
+>05f9281835817fddd06162cd69497a2d
+CGGGCTTAAATTGCATCTGAATGATTTGGAAACAGATCAGCCGCAAGGCAGATGTGAAGGTGCTGCATGGTTGTCGTCAGCTCGTGCCGTGAGGTGTCGGCTTAAGTGCCATAACGAGCGCAACCCTTGCTGTCAGTTACTAACAGGTCATGCTGAGGACTCTGACGGGACTGCCATCGTAAGATGTGAGGAAGGTGGGGATGACGTCAAATCAGCACGGCCCTTACGTCCGGGGCTACACACGTGTTACAATGGGGGGTACAGCAGGCAGCTACCTGGCGACAGGATGCTAATCCCGAAAGCCCCTCTCAGTTCGGATTGGAGTCTGCAACCCGACTCCATGAAGCTGGATTCGCTAGTAATCGCGCATCAGCCACGGCGCGGTGAATACGTTCCCGGG
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/study_seqs_test.fasta	Sat Mar 04 20:27:42 2023 +0000
@@ -0,0 +1,10 @@
+>02905cfb87861c837dde629596d9272b
+TGGTCTTGACATCCCTCTGACGAGTGAGTAATGTCGCTTTCCCTTCGGGGCAGAGGAGACAGGTGGTGCATGGTTGTCGTCAGCTCGTGTCGTGAGATGTTGGGTTAAGTCCCGCAACGAGCGCAACCCTTATCTTTAGTAGCCAGCAGTAAGATGGGAACTCTAGAGAGACTGCCGGGGATAACCCGGAGGAAGGTGGGGATGACGTCAAATCATCATGCCCCTTATGACCAGGGCTACACACGTGCTACAATGGCGTAAACAGAGGGAAGCGACCCTGTGAAGGTAAGCAAATCCCAAAAATAACGTCTCAGTTCGGATTGTAGTCTGCAACTCGACTACATGAAGCTGGAATCGCTAGTAATCGCGAATCAGAATGTCGCGGTGAATACGTTCCCGG
+>03562a221b15ef37470e4567e112f35f
+CGGGCTTGAAAGTTAGTGACCGGAGATGAAAGTCTCCTTTCTATAGCAATATAGACACGAAACTAGGTGCTGCATGGTTGTCGTCAGCTCGTGCCGTGAGGTGTCGGCTTAAGTGCCATAACGAGCGCAACCCTTTTCTTCAGTTACCATCATTAAGTTGGGGACTCTGAAGACACTGCCATCGTAAGATGTGAGGAAGGATGGGATGACGTCAAATCAGCACGGCCCTTACGTCCGGGGCGACACACGTGTTACAATGGCGTGGACAGCGGGGAACGAGGTGGCGACACCGAGGGAATCCCGAAACCACGTCCCAGTTCGGATTGGAGTCTGCAACTCGACTCCATGAAGCTGGATTCGCTAGTAATCGCGCATCAGCCATGGCGCGGTGAATACGTTC
+>03af6a6644bc358ee6716cbb44a5a479
+AGGGCTTGACATATATCAGAATATACTAGAGATAGTATAGTCCTTCGGGACTGATATACAGGTGGTGCATGGTTGTCGTCAGCTCGTGTCGTGAGATGTTGGGTTAAGTCCCGCAACGAGCGCAACCCCTGTCCTTAGTTGCCAGCACGTAAAGGTGGGAACTCTAAGGAGACTGCCGGTGATAAATCGGAGGAAGGTGGGGATGACGTCAAATCATCATGCCCTTTATGTCCTGGGCTACACACGTACTACAATGGCCGTGACAGAGAGAAACGAAACAGTGATGTGGAGTAAAACTCTAAAAGCGGTCTCAGTTCGGATTGAAGGCTGAAATTCGCCTTCATGAAGCTGGAATTGCTAGTAATGGCAGGTCAGCATACTGCCGTGAATACGTTCCCGG
+>03cb13abd3f1c5444360e489460bdfb0
+CGGGCTCAAACGGAAGGGGACGGATTGTGAAAGCAGTCTTTCCTTCGGGACCGCTTCCGAGGTGCTGCATGGTTGTCGTCAGCTCGTGCCGTGAGGTGTCGGCTTAAGTGCCATAACGAGCGCAACCCCTACCGACAGTTGCTAACAGATTAAGCTGAGGACTCTGTCGGGACTGCCGGCGCAAGCTGTGAGGAAGGCGGGGATGACGTCAAATCAGCACGGCCCTTACGTCCGGGGCGACACACGTGTTACAATGGCAGGTACAGCGGGAAGCCACCCGGCGACGGGGCGCGGAACCCGAAAACCTGTCTCAGTTCGGATTGGAGTCTGCAACCCGACTCCATGAAGCTGGATTCGCTAGTAATCGCGCATCAGCCACGGCGCGGTGAATACGTTCCCG
+>05f9281835817fddd06162cd69497a2d
+CGGGCTTAAATTGCATCTGAATGATTTGGAAACAGATCAGCCGCAAGGCAGATGTGAAGGTGCTGCATGGTTGTCGTCAGCTCGTGCCGTGAGGTGTCGGCTTAAGTGCCATAACGAGCGCAACCCTTGCTGTCAGTTACTAACAGGTCATGCTGAGGACTCTGACGGGACTGCCATCGTAAGATGTGAGGAAGGTGGGGATGACGTCAAATCAGCACGGCCCTTACGTCCGGGGCTACACACGTGTTACAATGGGGGGTACAGCAGGCAGCTACCTGGCGACAGGATGCTAATCCCGAAAGCCCCTCTCAGTTCGGATTGGAGTCTGCAACCCGACTCCATGAAGCTGGATTCGCTAGTAATCGCGCATCAGCCACGGCGCGGTGAATACGTTCCCGGG
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/study_seqs_test2.fasta	Sat Mar 04 20:27:42 2023 +0000
@@ -0,0 +1,10 @@
+>02905cfb87861c837dde629596d9272b
+TGGTCTTGACATCCCTCTGACGAGTGAGTAATGTCGCTTTCCCTTCGGGGCAGAGGAGACAGGTGGTGCATGGTTGTCGTCAGCTCGTGTCGTGAGATGTTGGGTTAAGTCCCGCAACGAGCGCAACCCTTATCTTTAGTAGCCAGCAGTAAGATGGGAACTCTAGAGAGACTGCCGGGGATAACCCGGAGGAAGGTGGGGATGACGTCAAATCATCATGCCCCTTATGACCAGGGCTACACACGTGCTACAATGGCGTAAACAGAGGGAAGCGACCCTGTGAAGGTAAGCAAATCCCAAAAATAACGTCTCAGTTCGGATTGTAGTCTGCAACTCGACTACATGAAGCTGGAATCGCTAGTAATCGCGAATCAGAATGTCGCGGTGAATACGTTCCCGG
+>03562a221b15ef37470e4567e112f35f
+CGGGCTTGAAAGTTAGTGACCGGAGATGAAAGTCTCCTTTCTATAGCAATATAGACACGAAACTAGGTGCTGCATGGTTGTCGTCAGCTCGTGCCGTGAGGTGTCGGCTTAAGTGCCATAACGAGCGCAACCCTTTTCTTCAGTTACCATCATTAAGTTGGGGACTCTGAAGACACTGCCATCGTAAGATGTGAGGAAGGATGGGATGACGTCAAATCAGCACGGCCCTTACGTCCGGGGCGACACACGTGTTACAATGGCGTGGACAGCGGGGAACGAGGTGGCGACACCGAGGGAATCCCGAAACCACGTCCCAGTTCGGATTGGAGTCTGCAACTCGACTCCATGAAGCTGGATTCGCTAGTAATCGCGCATCAGCCATGGCGCGGTGAATACGTTC
+>03af6a6644bc358ee6716cbb44a5a479
+AGGGCTTGACATATATCAGAATATACTAGAGATAGTATAGTCCTTCGGGACTGATATACAGGTGGTGCATGGTTGTCGTCAGCTCGTGTCGTGAGATGTTGGGTTAAGTCCCGCAACGAGCGCAACCCCTGTCCTTAGTTGCCAGCACGTAAAGGTGGGAACTCTAAGGAGACTGCCGGTGATAAATCGGAGGAAGGTGGGGATGACGTCAAATCATCATGCCCTTTATGTCCTGGGCTACACACGTACTACAATGGCCGTGACAGAGAGAAACGAAACAGTGATGTGGAGTAAAACTCTAAAAGCGGTCTCAGTTCGGATTGAAGGCTGAAATTCGCCTTCATGAAGCTGGAATTGCTAGTAATGGCAGGTCAGCATACTGCCGTGAATACGTTCCCGG
+>03cb13abd3f1c5444360e489460bdfb0
+CGGGCTCAAACGGAAGGGGACGGATTGTGAAAGCAGTCTTTCCTTCGGGACCGCTTCCGAGGTGCTGCATGGTTGTCGTCAGCTCGTGCCGTGAGGTGTCGGCTTAAGTGCCATAACGAGCGCAACCCCTACCGACAGTTGCTAACAGATTAAGCTGAGGACTCTGTCGGGACTGCCGGCGCAAGCTGTGAGGAAGGCGGGGATGACGTCAAATCAGCACGGCCCTTACGTCCGGGGCGACACACGTGTTACAATGGCAGGTACAGCGGGAAGCCACCCGGCGACGGGGCGCGGAACCCGAAAACCTGTCTCAGTTCGGATTGGAGTCTGCAACCCGACTCCATGAAGCTGGATTCGCTAGTAATCGCGCATCAGCCACGGCGCGGTGAATACGTTCCCG
+>05f9281835817fddd06162cd69497a2d
+CGGGCTTAAATTGCATCTGAATGATTTGGAAACAGATCAGCCGCAAGGCAGATGTGAAGGTGCTGCATGGTTGTCGTCAGCTCGTGCCGTGAGGTGTCGGCTTAAGTGCCATAACGAGCGCAACCCTTGCTGTCAGTTACTAACAGGTCATGCTGAGGACTCTGACGGGACTGCCATCGTAAGATGTGAGGAAGGTGGGGATGACGTCAAATCAGCACGGCCCTTACGTCCGGGGCTACACACGTGTTACAATGGGGGGTACAGCAGGCAGCTACCTGGCGACAGGATGCTAATCCCGAAAGCCCCTCTCAGTTCGGATTGGAGTCTGCAACCCGACTCCATGAAGCTGGATTCGCTAGTAATCGCGCATCAGCCACGGCGCGGTGAATACGTTCCCGGG
Binary file test-data/table.biom has changed
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/table.mothur.shared	Sat Mar 04 20:27:42 2023 +0000
@@ -0,0 +1,25 @@
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Binary file test-data/weighted_nsti.tsv.gz has changed
Binary file test-data/workflow_seq_abun.biom has changed