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view deseq2_preprocess_macros.xml @ 0:6507a8d42a4f draft default tip
planemo upload for repository https://github.com/geraldinepascal/FROGS-wrappers/ commit 78ca62b54aee22893d278d9c3d495527be405f8a
| author | frogs |
|---|---|
| date | Wed, 04 Feb 2026 13:16:44 +0000 |
| parents | |
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<?xml version="1.0"?> <macros> <token name="@DESEQ2_ASV_PREPROCESS_CMD_LINE@"> deseq2_preprocess.py --analysis-type 'ASV' --phyloseq-rdata '$phyloseq_rdata' #if $multiple.correction == 'true' --var-exp '$var_exp${multiple.model_type}${multiple.conf_factor}' #else --var-exp '$var_exp' #end if --output-deseq-rdata '$ASV_deseq_rdata' </token> <xml name="deseq2_asv_preprocess_inputs"> <!-- Files --> <param argument="--phyloseq-rdata" type="data" format="rdata" label="Phyloseq object (.Rdata)" help="Rdata file generated by the FROGS Stat 'Phyloseq Import data' tool."/> <!-- Parameters --> <param argument="--var-exp" type="text" label="Experimental variable" help="Sample metadata variable expected to influence ASV abundances (e.g., Treatment, Environment, Site, etc.)."> <expand macro="restricted_sanitizer_validator"/> </param> <conditional name="multiple"> <param name="correction" type="select" label="Correct for a confounding factor?" help="If yes, specify an additional sample metadata variable that could affect ASV abundances."> <option value="true">True</option> <option value="false" selected="true">False</option> </param> <when value="false"/> <when value="true"> <param name="conf_factor" type="text" label="Confounding factor" help="Secondary sample metadata variable to account for (e.g., Gender, Batch, Sampling date, etc.)."> <expand macro="restricted_sanitizer_validator"/> </param> <param name="model_type" type="select" multiple="false" label="Model type" help="Choose an additive model (+) if the effects of the two variables are independent, or an interaction model (*) if their effects are expected to depend on each other."> <option value="+" selected="true">Linear (+)</option> <option value="*">Interaction (*)</option> </param> </when> </conditional> </xml> <!-- Test --> <xml name="deseq2_asv_preprocess_test_input"> <param name="phyloseq_rdata" value="references/16-phylo_import.Rdata" /> <param name="var_exp" value="EnvType" /> </xml> <xml name="deseq2_asv_preprocess_test_output"> <output name="ASV_deseq_rdata" count="1" file="references/23-deseq2_preprocess_asv.Rdata" compare="sim_size" delta="100"/> </xml> <token name="@DESEQ2_FUN_PREPROCESS_CMD_LINE@"> deseq2_preprocess.py --analysis-type 'FUNCTION' --input-functions-abund '$input_functions_abund' --sample-metadata-tsv '$sample_metadata_tsv' #if $multiple.correction == 'true' --var-exp '$var_exp${multiple.model_type}${multiple.conf_factor}' #else --var-exp '$var_exp' #end if --output-phyloseq-rdata '$FUN_phyloseq_rdata' --output-deseq-rdata '$FUN_deseq_rdata' </token> <xml name="deseq2_fun_preprocess_inputs"> <!-- Files --> <param argument="--input-functions-abund" type="data" format="tsv,tabular" label="Function abundances file (.tsv) " help="Input file containing predicted function abundances (e.g., 'picrust2_functions: EC_unstrat_abundance.tsv' generated by the FROGS Func 'picrust2_function' tool)."/> <param argument="--sample-metadata-tsv" type="data" format="tabular,tsv" label="Sample metadata file (.tsv)" help="Tabular file containing metadata describing each sample (e.g., Treatment, Site, Host type, etc.)."/> <!-- Parameters --> <param argument="--var-exp" type="text" label="Experimental variable" help="Sample metadata variable expected to influence functional abundances (e.g., Treatment, Environment, Site, etc.)."> <expand macro="restricted_sanitizer_validator"/> </param> <conditional name="multiple"> <param name="correction" type="select" label="Correct for a confounding factor?" help="If yes, specify an additional sample metadata variable to account for (e.g., Batch, Gender, etc.)."> <option value="true">True</option> <option value="false" selected="true">False</option> </param> <when value="false"/> <when value="true"> <param name="conf_factor" type="text" label="Confounding factor" help="Secondary sample metadata variable to control for (e.g., Gender, Batch, Sampling date, etc.)."> <expand macro="restricted_sanitizer_validator"/> </param> <param name="model_type" type="select" multiple="false" label="Model type" help="Choose an additive model (+) if the effects of both variables are independent, or an interaction model (*) if their effects depend on each other."> <option value="+" selected="true">Linear (+)</option> <option value="*">Interaction (*)</option> </param> </when> </conditional> </xml> <!-- Test --> <xml name="deseq2_fun_preprocess_test_input"> <param name="sample_metadata_tsv" value="input/sample_metadata.tsv"/> <param name="input_functions_abund" value="input/frogsfunc_functions_unstrat_EC.tsv" /> <param name="var_exp" value="EnvType" /> </xml> <xml name="deseq2_fun_preprocess_test_output"> <!-- Deseq2 is influenced by other intermediate libraries or packages and results are hard to compare --> <!-- <output name="FUN_deseq_rdata" count="1" file="references/23-deseq2_preprocess_func.Rdata" compare="sim_size" delta="4000"/> --> <output name="FUN_phyloseq_rdata" count="1" file="references/23-phyloseq_functions.Rdata" compare="sim_size" delta="10"/> </xml> </macros>
