Mercurial > repos > tduigou > icfree_calibrator
diff calibrator.xml @ 0:d386c9d1fae5 draft
planemo upload for repository https://github.com/brsynth/icfree-ml commit 89b220357cba84350590ce79306440e78df97be5-dirty
author | tduigou |
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date | Fri, 22 Nov 2024 11:37:49 +0000 |
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children | 64294f757d70 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/calibrator.xml Fri Nov 22 11:37:49 2024 +0000 @@ -0,0 +1,110 @@ +<tool id="icfree_calibrator" name="iCFree calibrator" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" license="MIT"> + <description>Calculate yield based on fluorescence data and optionally apply calibration</description> + <macros> + <import>macros.xml</import> + </macros> + <expand macro="requirements"/> + <command detect_errors="exit_code"><![CDATA[ + cp '$initial_data_file' 'initial_data.csv' && + cp '$sampling_file' 'sampling.csv' && + cp '$ref_file' 'reference.csv' && + python -m icfree.learner.extractor + --initial_data_file 'initial_data.csv' + --sampling_file 'sampling.csv' + --output_file 'extractor.csv' + #if str($adv.num_samples) != '' + --num_samples '$adv.num_samples' + #end if + #if str($adv.num_replicates) != '' + --num_replicates '$adv.num_replicates' + #end if + && + python -m icfree.learner.calibrator + --output 'calibrated.csv' + --plot '$output_graph' + --jove_plus '$jove_plus' + --jove_minus '$jove_minus' + --r2_limit '$adv.r2_limit' + #if str($adv.num_control_points) != '' + --num_control_points '$adv.num_control_points' + #end if + #if str($adv.num_samples) != '' + --num '$adv.num_samples' + #end if + 'extractor.csv' 'reference.csv' && + mv 'calibrated.csv' '$output_calibrated' + ]]></command> + <inputs> + <param name="initial_data_file" type="data" format="csv" label="Initial file" help="Initial file"/> + <param name="sampling_file" type="data" format="csv" label="Sampling file" help="Sampling file"/> + <param name="ref_file" type="data" format="csv" label="Reference input file" help="Reference input file"/> + <param argument="jove_plus" type="integer" label="Line number for Jove+ (1-based index)" help="Line number for Jove+ (1-based index)" /> + <param argument="jove_minus" type="integer" label="Line number for Jove- (1-based index)" help="Line number for Jove- (1-based index)" /> + <section name="adv" title="Advanced Options" expanded="false"> + <param argument="num_samples" type="integer" optional="true" label="Number of samples" help="Number of samples" /> + <!-- Extractor --> + <param argument="num_replicates" type="integer" optional="true" label="Number of replicates" help="Number of replicates." /> + <!-- Calibrator --> + <param argument="r2_limit" type="float" value="0.8" label="R-squared limit for the regression" help="R-squared limit for the regression" /> + <param argument="num_control_points" type="integer" optional="true" label="Number of control points to select" help="Number of control points to select" /> + </section> + </inputs> + <outputs> + <data name="output_calibrated" format="csv" label="${tool.name} - Calibrated yields" /> + <data name="output_graph" format="png" label="${tool.name} - Graph" /> + </outputs> + <tests> + <test expect_num_outputs="2"> + <!-- python -m icfree.learner.extractor -initial_data_file calibrator.input.initial_data.csv -sampling_file calibrator.input.sampling.csv -output_file calibrator.extractor_output.1.csv --> + <!-- python -m icfree.learner.calibrator -output calibrator.output.calibrated.1.csv -jove_plus 3 -jove_minus 2 -plot calibrator.output.1.png calibrator.output.extractor.1.csv calibrator.input.ref.csv --> + <param name="initial_data_file" value="calibrator.input.initial_data.csv" /> + <param name="sampling_file" value="calibrator.input.sampling.csv" /> + <param name="ref_file" value="calibrator.input.ref.csv" /> + <param name="jove_plus" value="3" /> + <param name="jove_minus" value="2" /> + <output name="output_calibrated" ftype="csv"> + <assert_contents> + <has_n_lines n="343" /> + </assert_contents> + </output> + <output name="calibrator_graph" ftype="png" > + <assert_contents> + <has_size value="62000" delta="2000" /> + </assert_contents> + </output> + </test> + <test expect_num_outputs="2"> + <!-- python -m icfree.learner.extractor -initial_data_file calibrator.input.initial_data.csv -sampling_file calibrator.input.sampling.tsv -output_file calibrator.output.extractor.2.csv -num_samples 20 -num_replicates 3 --> + <!-- python -m icfree.learner.calibrator -plot calibrator.output.2.png -output calibrator.output.2.csv -jove_plus 4 -jove_minus 3 -r2_limit 0.9 -num 20 -num_control_points 4 calibrator.output.extractor.2.csv calibrator.input.ref.csv --> + <param name="initial_data_file" value="calibrator.input.initial_data.csv" /> + <param name="sampling_file" value="calibrator.input.sampling.csv" /> + <param name="ref_file" value="calibrator.input.ref.csv" /> + <param name="num_samples" value="20" /> + <param name="num_replicates" value="3" /> + <param name="r2_limit" value="0.9" /> + <param name="num_control_points" value="4" /> + <param name="jove_plus" value="4" /> + <param name="jove_minus" value="3" /> + <output name="output_calibrated" ftype="csv"> + <assert_contents> + <has_n_lines n="21" /> + </assert_contents> + </output> + <output name="calibrator_graph" ftype="png" > + <assert_contents> + <has_size value="45000" delta="1000" /> + </assert_contents> + </output> + + </test> + + </tests> + <help><![CDATA[ +Calibrator +========== +Calculate yield based on fluorescence data and apply calibration. + +]]></help> + <expand macro="creator"/> + <expand macro="citation"/> +</tool>