annotate calibrator.xml @ 0:d386c9d1fae5 draft

planemo upload for repository https://github.com/brsynth/icfree-ml commit 89b220357cba84350590ce79306440e78df97be5-dirty
author tduigou
date Fri, 22 Nov 2024 11:37:49 +0000
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children 64294f757d70
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0
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1 <tool id="icfree_calibrator" name="iCFree calibrator" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" license="MIT">
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2 <description>Calculate yield based on fluorescence data and optionally apply calibration</description>
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3 <macros>
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4 <import>macros.xml</import>
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5 </macros>
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6 <expand macro="requirements"/>
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7 <command detect_errors="exit_code"><![CDATA[
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8 cp '$initial_data_file' 'initial_data.csv' &&
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9 cp '$sampling_file' 'sampling.csv' &&
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10 cp '$ref_file' 'reference.csv' &&
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11 python -m icfree.learner.extractor
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12 --initial_data_file 'initial_data.csv'
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13 --sampling_file 'sampling.csv'
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14 --output_file 'extractor.csv'
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15 #if str($adv.num_samples) != ''
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16 --num_samples '$adv.num_samples'
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17 #end if
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18 #if str($adv.num_replicates) != ''
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19 --num_replicates '$adv.num_replicates'
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20 #end if
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21 &&
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22 python -m icfree.learner.calibrator
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23 --output 'calibrated.csv'
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24 --plot '$output_graph'
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25 --jove_plus '$jove_plus'
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26 --jove_minus '$jove_minus'
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27 --r2_limit '$adv.r2_limit'
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28 #if str($adv.num_control_points) != ''
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29 --num_control_points '$adv.num_control_points'
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30 #end if
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31 #if str($adv.num_samples) != ''
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32 --num '$adv.num_samples'
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33 #end if
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34 'extractor.csv' 'reference.csv' &&
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35 mv 'calibrated.csv' '$output_calibrated'
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36 ]]></command>
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37 <inputs>
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38 <param name="initial_data_file" type="data" format="csv" label="Initial file" help="Initial file"/>
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39 <param name="sampling_file" type="data" format="csv" label="Sampling file" help="Sampling file"/>
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40 <param name="ref_file" type="data" format="csv" label="Reference input file" help="Reference input file"/>
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41 <param argument="jove_plus" type="integer" label="Line number for Jove+ (1-based index)" help="Line number for Jove+ (1-based index)" />
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42 <param argument="jove_minus" type="integer" label="Line number for Jove- (1-based index)" help="Line number for Jove- (1-based index)" />
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43 <section name="adv" title="Advanced Options" expanded="false">
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44 <param argument="num_samples" type="integer" optional="true" label="Number of samples" help="Number of samples" />
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45 <!-- Extractor -->
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46 <param argument="num_replicates" type="integer" optional="true" label="Number of replicates" help="Number of replicates." />
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47 <!-- Calibrator -->
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48 <param argument="r2_limit" type="float" value="0.8" label="R-squared limit for the regression" help="R-squared limit for the regression" />
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49 <param argument="num_control_points" type="integer" optional="true" label="Number of control points to select" help="Number of control points to select" />
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50 </section>
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51 </inputs>
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52 <outputs>
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53 <data name="output_calibrated" format="csv" label="${tool.name} - Calibrated yields" />
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54 <data name="output_graph" format="png" label="${tool.name} - Graph" />
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55 </outputs>
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56 <tests>
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57 <test expect_num_outputs="2">
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58 <!-- 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 -->
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59 <!-- 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 -->
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60 <param name="initial_data_file" value="calibrator.input.initial_data.csv" />
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61 <param name="sampling_file" value="calibrator.input.sampling.csv" />
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62 <param name="ref_file" value="calibrator.input.ref.csv" />
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63 <param name="jove_plus" value="3" />
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64 <param name="jove_minus" value="2" />
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65 <output name="output_calibrated" ftype="csv">
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66 <assert_contents>
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67 <has_n_lines n="343" />
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68 </assert_contents>
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69 </output>
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70 <output name="calibrator_graph" ftype="png" >
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71 <assert_contents>
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72 <has_size value="62000" delta="2000" />
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73 </assert_contents>
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74 </output>
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75 </test>
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76 <test expect_num_outputs="2">
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77 <!-- 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 -->
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78 <!-- 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 -->
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79 <param name="initial_data_file" value="calibrator.input.initial_data.csv" />
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80 <param name="sampling_file" value="calibrator.input.sampling.csv" />
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81 <param name="ref_file" value="calibrator.input.ref.csv" />
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82 <param name="num_samples" value="20" />
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83 <param name="num_replicates" value="3" />
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84 <param name="r2_limit" value="0.9" />
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85 <param name="num_control_points" value="4" />
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86 <param name="jove_plus" value="4" />
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87 <param name="jove_minus" value="3" />
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88 <output name="output_calibrated" ftype="csv">
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89 <assert_contents>
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90 <has_n_lines n="21" />
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91 </assert_contents>
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92 </output>
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93 <output name="calibrator_graph" ftype="png" >
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94 <assert_contents>
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95 <has_size value="45000" delta="1000" />
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96 </assert_contents>
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97 </output>
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98
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99 </test>
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100
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101 </tests>
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102 <help><![CDATA[
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103 Calibrator
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104 ==========
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105 Calculate yield based on fluorescence data and apply calibration.
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106
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107 ]]></help>
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108 <expand macro="creator"/>
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109 <expand macro="citation"/>
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110 </tool>