--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/recetox_aplcms_unsupervised.xml	Fri Jun 18 13:53:19 2021 +0000
@@ -0,0 +1,81 @@
+<tool id="recetox_aplcms_unsupervised" name="apLCMS Unsupervised" version="@TOOL_VERSION@+galaxy0">
+    <description>generate a feature table from LC/MS spectra</description>
+    <macros>
+        <import>recetox_aplcms_macros.xml</import>
+    </macros>
+
+    <expand macro="requirements" />
+
+    <command detect_errors="aggressive"><![CDATA[
+        sh ${symlink_inputs} &&
+        Rscript  -e 'source("${__tool_directory__}/main.R")' -e 'source("${run_script}")'
+    ]]></command>
+
+    <configfiles>
+        <configfile name="symlink_inputs">
+            #for $infile in $files
+                ln -s '${infile}' '${infile.element_identifier}'
+            #end for
+        </configfile>
+        <configfile name="run_script"><![CDATA[
+            #set filenames_str = str("', '").join([str($f.element_identifier) for $f in $files])
+
+            unsupervised_main(
+                sample_files = c('$filenames_str'),
+                aligned_file = '${aligned_feature_sample_table}',
+                recovered_file = '${recovered_feature_sample_table}',
+                min_exp = $noise_filtering.min_exp,
+                min_pres = $noise_filtering.min_pres,
+                min_run = $noise_filtering.min_run,
+                mz_tol = $noise_filtering.mz_tol,
+                baseline_correct = $noise_filtering.baseline_correct,
+                baseline_correct_noise_percentile = $noise_filtering.baseline_correct_noise_percentile,
+                intensity_weighted = $noise_filtering.intensity_weighted,
+                shape_model = '$feature_detection.shape_model',
+                BIC_factor = $feature_detection.BIC_factor,
+                peak_estim_method = '$feature_detection.peak_estim_method',
+                min_bandwidth = $feature_detection.min_bandwidth,
+                max_bandwidth = $feature_detection.max_bandwidth,
+                sd_cut = c($feature_detection.sd_cut_min, $feature_detection.sd_cut_max),
+                sigma_ratio_lim = c($feature_detection.sigma_ratio_lim_min, $feature_detection.sigma_ratio_lim_max),
+                component_eliminate = $feature_detection.component_eliminate,
+                moment_power = $feature_detection.moment_power,
+                align_chr_tol = $peak_alignment.align_chr_tol,
+                align_mz_tol = $peak_alignment.align_mz_tol,
+                max_align_mz_diff = $peak_alignment.max_align_mz_diff,
+                recover_mz_range = $weak_signal_recovery.recover_mz_range,
+                recover_chr_range = $weak_signal_recovery.recover_chr_range,
+                use_observed_range = $weak_signal_recovery.use_observed_range,
+                recover_min_count = $weak_signal_recovery.recover_min_count,
+                cluster = as.integer(Sys.getenv('GALAXY_SLOTS', unset = 1))
+            )
+        ]]></configfile>
+    </configfiles>
+
+    <expand macro="inputs">
+        <expand macro="noise_filtering" />
+        <expand macro="feature_detection" />
+        <expand macro="peak_alignment" />
+        <expand macro="weak_signal_recovery" />
+    </expand>
+
+    <outputs>
+        <expand macro="unsupervised_outputs" />
+    </outputs>
+
+    <tests>
+        <test>
+            <param name="files" value="mbr_test0.mzml,mbr_test1.mzml,mbr_test2.mzml" ftype="mzml" />
+            <output name="recovered_feature_sample_table" file="unsupervised_recovered_feature_sample_table.parquet" ftype="parquet" compare="sim_size" delta="1000" />
+        </test>
+    </tests>
+
+    <help>
+        This is the Unsupervised version of apLCMS which is not relying on any existing knowledge about metabolites or
+        any historically detected features. For such functionality please use the Hybrid version of apLCMS.
+
+        @GENERAL_HELP@
+    </help>
+
+    <expand macro="citations" />
+</tool>