Mercurial > repos > immuneml > immuneml_tools

annotate immuneml_create_dataset.xml @ 18:697c2b98a466 draft

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"planemo upload commit baf8a7b46ce256e676d2c14b18ab58ee6f5b3cca-dirty"
author immuneml
date Thu, 17 Mar 2022 16:38:38 +0000
parents 2d3dd9ff7e84
children
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1 <tool id="immune_ml_dataset" name="Create dataset" version="@VERSION@.0">
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2 <description></description>
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3 <macros>
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4 <import>prod_macros.xml</import>
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5 </macros>
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6 <expand macro="requirements" />
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7 <command><![CDATA[
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8 #set $input_orig_names = []
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9 #for $input in $interface_cond.data_input
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10 #if $input
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11 #set input_orig_names += ["./"+str($input.element_identifier)]
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12 ([ -e ./"$input.element_identifier" ] && echo "File '$input.element_identifier' already exists in the input folder, skipping." || ln -s $input "$input.element_identifier") &&
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13 #end if
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14 #end for
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15
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16 #if $interface_cond.interface == "simple"
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17 python3 '$__tool_directory__/build_dataset_yaml_wrapper.py'
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18 --output_path . --file_name specs.yaml
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19 #if $interface_cond.dataset_cond.dataset_type == "repertoire"
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20 --is_repertoire True
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21 --format "$interface_cond.dataset_cond.metadata_cond.data_format"
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22 #if $interface_cond.dataset_cond.metadata_cond.data_format != "IReceptor"
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23 --metadata_file "$interface_cond.dataset_cond.metadata_cond.metadata_input" &&
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24 cp $interface_cond.dataset_cond.metadata_cond.metadata_input "$interface_cond.dataset_cond.metadata_cond.metadata_input.element_identifier"
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25 #end if
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26 #else
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27 --is_repertoire False
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28 --format "$interface_cond.dataset_cond.data_format"
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29 --metadata_columns "$interface_cond.dataset_cond.metadata_columns"
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30 #if $interface_cond.dataset_cond.dataset_type == "sequence"
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31 --paired False
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32 #elif $interface_cond.dataset_cond.dataset_type == "receptor"
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33 --paired True
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34 --receptor_chains $interface_cond.dataset_cond.receptor_type
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35 #end if
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36 #end if
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37 && mv ./specs.yaml create_dataset.yaml &&
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38 #else
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39 cp $yaml_input create_dataset.yaml &&
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40 #end if
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41
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42 immune-ml ./create_dataset.yaml ${html_outfile.files_path} --tool DatasetGenerationTool &&
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43
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44 mv ${html_outfile.files_path}/index.html ${html_outfile} &&
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45 mv ./create_dataset.yaml ${specs}
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46
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47 ]]>
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48 </command>
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49 <inputs>
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50 <conditional name="interface_cond">
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51 <param type="select" name="interface" label="Which interface would you like to use?" display="radio">
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52 <option value="simple">Simplified (limited options)</option>
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53 <option value="advanced">Advanced (full control through YAML) </option>
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54 </param>
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55 <when value="simple">
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56 <conditional name="dataset_cond">
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57 <param type="select" name="dataset_type" label="Dataset type" display="radio" help="Repertoire datasets
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58 should be used when making predictions per repertoire, such as predicting a disease state. Sequence or
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59 receptor datasets should be used when predicting values for unpaired (single-chain) and paired immune
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60 receptors respectively, like antigen specificity.">
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61 <option value="repertoire">Repertoire dataset</option>
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62 <option value="sequence">Sequence dataset (single chain)</option>
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63 <option value="receptor">Receptor dataset (paired chains)</option>
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64 </param>
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65 <when value="repertoire">
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66 <conditional name="metadata_cond">
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67 <param type="select" name="data_format" label="Data format" display="radio">
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68 <option value="AIRR">AIRR</option>
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69 <option value="IReceptor">iReceptor Gateway</option>
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70 <option value="ImmunoSEQRearrangement">immunoSEQ: rearrangement-level files</option>
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71 <option value="ImmunoSEQSample">immunoSEQ: sample-level files</option>
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72 <option value="MiXCR">MiXCR</option>
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73 <option value="VDJdb">VDJdb</option>
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74 <option value="TenxGenomics">10x Genomics ‘Clonotype consensus annotations’ (CSV)</option>
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75 </param>
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76 <when value="AIRR">
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77 <param name="metadata_input" type="data" format="txt" label="Metadata file" multiple="false" help="The metadata file describes metadata information for all repertoires included in the dataset. Every repertoire ARR file described in the metadata file must be selected under 'Data files'."/>
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78 </when>
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79 <when value="ImmunoSEQRearrangement">
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80 <param name="metadata_input" type="data" format="txt" label="Metadata file" multiple="false" help="The metadata file describes metadata information for all repertoires included in the dataset. Every repertoire immunoSEQ rearrangement file described in the metadata file must be selected under 'Data files'."/>
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81 </when>
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82 <when value="ImmunoSEQSample">
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83 <param name="metadata_input" type="data" format="txt" label="Metadata file" multiple="false" help="The metadata file describes metadata information for all repertoires included in the dataset. Every repertoire immunoSEQ sample file described in the metadata file must be selected under 'Data files'."/>
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84 </when>
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85 <when value="MiXCR">
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86 <param name="metadata_input" type="data" format="txt" label="Metadata file" multiple="false" help="The metadata file describes metadata information for all repertoires included in the dataset. Every repertoire MiXCR file described in the metadata file must be selected under 'Data files'."/>
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87 </when>
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88 <when value="VDJdb">
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89 <param name="metadata_input" type="data" format="txt" label="Metadata file" multiple="false" help="The metadata file describes metadata information for all repertoires included in the dataset. Every repertoire VDJdb file described in the metadata file must be selected under 'Data files'."/>
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90 </when>
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91 <when value="TenxGenomics">
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92 <param name="metadata_input" type="data" format="txt" label="Metadata file" multiple="false" help="The metadata file describes metadata information for all repertoires included in the dataset. Every repertoire 10x Genomics file described in the metadata file must be selected under 'Data files'."/>
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93 </when>
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94 </conditional>
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95 </when>
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96 <when value="sequence">
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97 <param type="select" name="data_format" label="Data format" display="radio">
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98 <option value="AIRR">AIRR</option>
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99 <option value="IReceptor">iReceptor Gateway</option>
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100 <option value="ImmunoSEQRearrangement">ImmunoSEQ: rearrangement-level files</option>
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101 <option value="ImmunoSEQSample">ImmunoSEQ: sample-level files</option>
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102 <option value="MiXCR">MiXCR</option>
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103 <option value="VDJdb">VDJdb</option>
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104 <option value="TenxGenomics">10xGenomics ‘Clonotype consensus annotations’ (CSV)</option>
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105 </param>
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106 <param type="text" name="metadata_columns" optional="false" label="Metadata columns" help="Please
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107 specify the names of the columns that contain metadata. The metadata columns specified here can be
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108 used as labels for prediction. Multiple metadata columns may be specified and separated by comma,
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109 for example: Epitope,Epitope gene,Epitope species"/>
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110 </when>
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111 <when value="receptor">
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112 <param type="select" name="data_format" label="Data format" display="radio">
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113 <option value="AIRR">AIRR</option>
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114 <option value="IReceptor">iReceptor Gateway</option>
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115 <option value="VDJdb">VDJdb</option>
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116 <option value="TenxGenomics">10xGenomics ‘Clonotype consensus annotations’ (CSV)</option>
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117 </param>
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118 <param type="select" name="receptor_type" label="Receptor type" display="radio">
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119 <option value="TRA_TRB">T cell alpha/beta</option>
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120 <option value="TRG_TRD">T cell gamma/delta</option>
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121 <option value="IGH_IGL">B cell heavy/light</option>
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122 <option value="IGH_IGK">B cell heavy/kappa</option>
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123 </param>
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124 <param type="text" name="metadata_columns" optional="false" label="Metadata columns" help="Please
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125 specify the names of the columns that contain metadata. The metadata columns specified here can be
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126 used as labels for prediction. Multiple metadata columns may be specified and separated by comma,
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127 for example: Epitope,Epitope gene,Epitope species"/>
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128 </when>
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129 </conditional>
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130 <param name="data_input" type="data" multiple="true" label="Data files" min="1" max="2000" help="This field should include individual repertoire or receptor files, or iReceptor zip files. Multiple files can be selected by holding down the control/command or shift key, or by clicking 'browse datasets' (folder button on the right). Important: make sure all the files you want to include in the dataset are highlighted in blue or gray."/>
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131 </when>
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132 <when value="advanced">
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133 <param name="yaml_input" type="data" format="txt" label="YAML specification" multiple="false"/>
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134 <param name="data_input" type="data" multiple="true" label="Data and metadata files" optional="true" help="This field should include individual repertoire or receptor files, or iReceptor zip files, and optionally a metadata file. Multiple files can be selected by holding down the control/command or shift key, or by clicking 'browse datasets' (folder button on the right). Important: make sure all the files you want to include in the dataset are highlighted."/>
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135 </when>
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136 </conditional>
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137 </inputs>
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138 <outputs>
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139 <data format="txt" name="specs" label="create_dataset.yaml"/>
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140 <data format="immuneml_receptors" name="html_outfile" label="ImmuneML dataset"/>
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141 </outputs>
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142
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143
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144 <help><![CDATA[
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145
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146 In Galaxy, an immuneML dataset is simply a Galaxy collection containing all relevant files (including an optional metadata file).
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147 The Create dataset Galaxy tool allows users to import data from various formats and create immuneML datasets in Galaxy.
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148 These datasets are in an optimized binary (Pickle) format, which ensures that you can quickly import the dataset into
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149 Galaxy tools without having to repeatedly specify the import parameters.
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150
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151 Before creating a dataset, the relevant data files must first be uploaded to the Galaxy interface. This can be done either
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152 by uploading files from your local computer (use the 'Upload file' tool under the 'Get local data' menu), or by fetching
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153 remote data from the iReceptor Plus Gateway or VDJdb (see `How to import remote AIRR datasets in Galaxy <https://docs.immuneml.uio.no/latest/galaxy/galaxy_import_remote_data.html>`_).
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154
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155 The imported immuneML dataset is stored in a Galaxy collection, which will appear as a history item on the right side of the screen,
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156 and can later be selected as input to other tools.
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157
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158 The tool has a simplified and an advanced interface. The simplified interface is fully button-based, and relies
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159 on default settings for importing datasets. The advanced interface gives full control over import settings through a YAML
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160 specification. In most cases, the simplified interface will suffice.
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161
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162 For the exhaustive documentation of this tool and more information about immuneML datasets, see the tutorial `How to make an immuneML dataset in Galaxy <https://docs.immuneml.uio.no/latest/galaxy/galaxy_dataset.html>`_.
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163
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164 **Tool output**
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165
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166 This Galaxy tool will produce the following history elements:
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167
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168 - ImmuneML dataset: a sequence, receptor or repertoire dataset which can be used as an input to other immuneML tools. The history element contains a summary HTML page describing general characteristics of the dataset, including the name of the dataset
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169 (which is used in the dataset definition of a yaml specification), the dataset type and size, available labels, and a link to download the raw data files.
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170
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171 - create_dataset.yaml: the YAML specification file that was used by immuneML to create the dataset.
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172 This file can be downloaded and altered (for example to export files in AIRR format, or use non-standard import parameters),
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173 and run again using the 'Advanced' interface.
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174
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175 ]]>
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176 </help>
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177
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178 </tool>