annotate vsnp_get_snps.xml @ 9:0fe292b20b9d draft

"planemo upload for repository https://github.com/gregvonkuster/galaxy_tools/tree/master/tools/sequence_analysis/vsnp/vsnp_get_snps commit 3b7fef2d17fec96647345e89c774d4af417d23d7"
author greg
date Thu, 29 Jul 2021 13:16:03 +0000
parents 5e4595b9f63c
children be5875f29ea4
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1 <tool id="vsnp_get_snps" name="vSNP: get SNPs" version="@WRAPPER_VERSION@.0+galaxy0" profile="@PROFILE@">
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2 <description></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 <requirements>
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7 <requirement type="package" version="3.0.7">openpyxl</requirement>
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8 <requirement type="package" version="1.3.0">pandas</requirement>
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9 <requirement type="package" version="0.6.8">pyvcf</requirement>
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10 <requirement type="package" version="2.0.1">xlrd</requirement>
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11 </requirements>
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12 <command detect_errors="exit_code"><![CDATA[
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13 #import re
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14
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15 #set input_vcf_dir = 'input_vcf_dir'
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16 #set output_json_avg_mq_dir = 'output_json_avg_mq_dir'
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17 #set output_json_snps_dir = 'output_json_snps_dir'
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18 #set output_snps_dir = 'output_snps_dir'
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19
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20 mkdir -p $input_vcf_dir &&
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21 mkdir -p $output_json_avg_mq_dir &&
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22 mkdir -p $output_json_snps_dir &&
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23 mkdir -p $output_snps_dir &&
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24
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25 #set dbkey = '?'
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26 #for $i in $input_vcf_collection:
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27 #if str($dbkey) == '?':
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28 #set dbkey = $i.metadata.dbkey
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29 #else if str($dbkey) != $i.metadata.dbkey:
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30 >&2 echo "The dbkeys associated with the zero coverage VCF files with SNPs found in closely related isolate groups are not unique" &&
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31 exit 1
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32 #end if
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33 #set vcf_identifier = re.sub('[^\s\w\-]', '_', str($i.element_identifier))
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34 ln -s '${i}' '$input_vcf_dir/${vcf_identifier}' &&
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35 #end for
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36 #if str($dbkey) == '?':
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37 >&2 echo "The dbkey must be set for the zero coverage VCF files with SNPs found in closely related isolate groups" && exit 1
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38 #end if
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39 #if str($input_zc_vcf_type_cond.input_zc_vcf_type) == "single":
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40 #set zc_vcf_identifier = re.sub('[^\s\w\-]', '_', str($input_zc_vcf.element_identifier))
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41 ln -s '${input_zc_vcf}' '$input_vcf_dir/${zc_vcf_identifier}' &&
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42 #else
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43 #for $i in $input_zc_vcf_type_cond.input_zc_vcf_collection:
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44 #set zc_vcf_identifier = re.sub('[^\s\w\-]', '_', str($i.element_identifier))
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45 ln -s '${i}' '$input_vcf_dir/${zc_vcf_identifier}' &&
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46 #end for
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47 #end if
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48 #if str($input_excel_cond.input_excel_param) == 'yes':
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49 #if str($input_excel_cond.excel_source_cond.excel_source) == 'cached':
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50 #set excel_file = 'No genome specified for input VCF (database) file(s)'
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51 #set excel_fields = $__app__.tool_data_tables['vsnp_excel'].get_fields()
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52 ## The value of excel_fields is a nested list that looks like this.
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53 ## [['AF2122', 'Mbovis_define_filter.xlsx', '~/tool-data/vsnp/AF2122/excel/Mbovis_define_filter.xlsx', 'Excel file for AF2122'],...]
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54 #for $i in $excel_fields:
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55 #if str($i[0]) == $dbkey:
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56 #set excel_file = $i[2]
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57 #break
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58 #end if
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59 #end for
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60 #else:
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61 #set excel_file = $input_excel_cond.excel_source_cond.input_excel
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62 #end if
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63 #end if
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64 python '$__tool_directory__/vsnp_get_snps.py'
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65 --ac $ac
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66 #if str($input_excel_cond.input_excel_param) == 'yes':
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67 --input_excel '$excel_file'
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68 #end if
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69 $all_isolates
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70 --input_vcf_dir '$input_vcf_dir'
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71 --min_mq $min_mq
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72 --min_quality_score $min_quality_score
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73 --output_json_avg_mq_dir '$output_json_avg_mq_dir'
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74 --output_json_snps_dir '$output_json_snps_dir'
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75 --output_snps_dir '$output_snps_dir'
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76 --output_summary '$output_summary'
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77 --processes \${GALAXY_SLOTS:-8}
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78 --quality_score_n_threshold $quality_score_n_threshold
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79 --dbkey '$dbkey'
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80 ]]></command>
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81 <inputs>
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82 <conditional name="input_zc_vcf_type_cond">
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83 <param name="input_zc_vcf_type" type="select" label="Choose the category of the files to be analyzed">
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84 <option value="collection" selected="true">A collection of zero coverage VCF files</option>
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85 <option value="single">A single zero coverage VCF file</option>
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86 </param>
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87 <when value="single">
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88 <param name="input_zc_vcf" type="data" format="vcf" label="Zero coverage VCF file"/>
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89 </when>
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90 <when value="collection">
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91 <param name="input_zc_vcf_collection" format="vcf" type="data_collection" collection_type="list" label="Collection of zero coverage VCF files"/>
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92 </when>
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93 </conditional>
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94 <param name="input_vcf_collection" format="vcf" type="data_collection" collection_type="list" label="Collection of zero coverage VCF files with SNPs found in closely related isolate groups"/>
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95 <param name="ac" type="integer" min="0" value="2" label="Allele count threshold" help="At least 1 position must have this value for a SNP to be added to a group"/>
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96 <param name="min_mq" type="integer" min="0" value="56" label="Map quality threshold" help="At least 1 position must have a higher MQ value for a SNP to be added to a group"/>
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97 <param name="min_quality_score" type="integer" min="0" value="150" label="Quality score threshold" help="At least 1 position must have a higher quality score for a SNP to be added to a group"/>
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98 <param name="quality_score_n_threshold" type="integer" min="0" value="150" label="Minimum quality score N value for alleles" help="Alleles are marked as N for quality scores between this value and the minimum quality score value above"/>
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99 <conditional name="input_excel_cond">
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100 <param name="input_excel_param" type="select" label="Use Excel file for grouping and filtering?">
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101 <option value="yes" selected="true">Yes</option>
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102 <option value="no">No</option>
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103 </param>
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104 <when value="yes">
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105 <conditional name="excel_source_cond">
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106 <param name="excel_source" type="select" label="Choose the source for the Excel file">
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107 <option value="cached">locally cached</option>
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108 <option value="history">from history</option>
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109 </param>
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110 <when value="cached">
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111 <param name="input_excel" type="select" label="Excel file">
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112 <options from_data_table="vsnp_excel">
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113 <filter type="data_meta" column="0" key="dbkey" ref="input_vcf_collection"/>
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114 <validator type="no_options" message="No built-in Excel grouping and filtering datasets are available"/>
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115 </options>
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116 </param>
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117 </when>
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118 <when value="history">
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119 <param name="input_excel" type="data" format="xlsx" label="Excel file"/>
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120 </when>
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121 </conditional>
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122 </when>
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123 <when value="no"/>
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124 </conditional>
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125 <param argument="all_isolates" type="boolean" truevalue="--all_isolates" falsevalue="" checked="false" label="Create a group containing all isolates?"/>
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126 </inputs>
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127 <outputs>
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128 <collection name="snps" type="list" label="${tool.name} on ${on_string} (SNPs)">
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129 <discover_datasets pattern="__name_and_ext__" directory="output_snps_dir"/>
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130 </collection>
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131 <collection name="json_avg_mq" type="list" label="${tool.name} on ${on_string} (average mq)">
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132 <discover_datasets pattern="__name_and_ext__" directory="output_json_avg_mq_dir"/>
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133 </collection>
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134 <collection name="json_snps" type="list" label="${tool.name} on ${on_string} (SNPs as json)">
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135 <discover_datasets pattern="__name_and_ext__" directory="output_json_snps_dir"/>
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136 </collection>
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137 <data name="output_summary" format="html" label="${tool.name} on ${on_string} (summary)"/>
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138 </outputs>
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139 <tests>
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140 <!--
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141 Unfortunately the test files cannot be gzipped since Galaxy changes the file names
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142 to be something like 00-0121_WI_Cervid_99-A_vcf_gz, and the VCF Reader requires
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143 gzipped files to have a .gz extension. The exception is
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144 UnicodeDecodeError: 'utf-8' codec can't decode byte 0x8b in position 1: invalid start byte
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145 -->
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146 <!-- A single vcf input, no excel file, all_isolates is False -->
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147 <test expect_num_outputs="4">
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148 <param name="input_zc_vcf_type" value="single"/>
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149 <param name="input_zc_vcf" value="input_zc_vcf.vcf" ftype="vcf" dbkey="89"/>
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150 <param name="input_vcf_collection">
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151 <collection type="list">
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152 <element name="SRR8073662_zc.vcf" value="SRR8073662_zc.vcf" dbkey="89"/>
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153 <element name="SRR1792272_zc.vcf" value="SRR1792272_zc.vcf" dbkey="89"/>
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154 </collection>
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155 </param>
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156 <param name="input_excel_param" value="no"/>
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157 <output_collection name="snps" type="list" count="1">
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158 <element name="all_vcf" file="all_vcf.fasta" ftype="fasta" compare="contains"/>
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159 </output_collection>
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160 <output_collection name="json_avg_mq" type="list" count="1">
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161 <element name="all_vcf" file="json_avg_mq_all_vcf.json" ftype="json" compare="contains"/>
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162 </output_collection>
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163 <output_collection name="json_snps" type="list" count="1">
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164 <element name="all_vcf" file="json_all_vcf.json" ftype="json" compare="contains"/>
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165 </output_collection>
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166 <output name="output_summary" file="output_summary.html" ftype="html" compare="contains"/>
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167 </test>
9
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168 <!-- An input collection, no excel file, all_isolates is False -->
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169 <test expect_num_outputs="4">
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170 <param name="input_zc_vcf_type" value="collection"/>
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171 <param name="input_zc_vcf_collection">
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172 <collection type="list">
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173 <element name="BCG_Pasteur_Unknown_FR_SRR8886989.vcf" value="BCG_Pasteur_Unknown_FR_SRR8886989.vcf" dbkey="89"/>
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174 <element name="BCG_Tokyo_Unknown_JP_DRR029468.vcf" value="BCG_Tokyo_Unknown_JP_DRR029468.vcf" dbkey="89"/>
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175 </collection>
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176 </param>
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177 <param name="input_vcf_collection">
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178 <collection type="list">
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179 <element name="01_1787_FL_Zoo_Jaguar.vcf" value="01_1787_FL_Zoo_Jaguar.vcf" dbkey="89"/>
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180 <element name="02_5877_MEX_TX_Fed.vcf" value="02_5877_MEX_TX_Fed.vcf" dbkey="89"/>
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181 <element name="02_0585_COA_TX_Fed.vcf" value="02_0585_COA_TX_Fed.vcf" dbkey="89"/>
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182 </collection>
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183 </param>
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184 <param name="input_excel_param" value="no"/>
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185 <output_collection name="snps" type="list" count="1">
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186 <element name="all_vcf" file="all_vcf2.fasta" ftype="fasta" compare="contains"/>
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187 </output_collection>
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188 <output_collection name="json_avg_mq" type="list" count="1">
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189 <element name="all_vcf" file="json_avg_mq_all_vcf.json" ftype="json" compare="contains"/>
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190 </output_collection>
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191 <output_collection name="json_snps" type="list" count="1">
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192 <element name="all_vcf" file="json_all_vcf.json" ftype="json" compare="contains"/>
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193 </output_collection>
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194 <output name="output_summary" file="output_summary2.html" ftype="html" compare="contains"/>
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195 </test>
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196 <!-- An input collection, an excel file, all_isolates is False -->
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197 <test expect_num_outputs="4">
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diff changeset
198 <param name="input_zc_vcf_type" value="collection"/>
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199 <param name="input_zc_vcf_collection">
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200 <collection type="list">
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201 <element name="BCG_Pasteur_Unknown_FR_SRR8886989.vcf" value="BCG_Pasteur_Unknown_FR_SRR8886989.vcf" dbkey="89"/>
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202 <element name="BCG_Tokyo_Unknown_JP_DRR029468.vcf" value="BCG_Tokyo_Unknown_JP_DRR029468.vcf" dbkey="89"/>
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203 </collection>
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204 </param>
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205 <param name="input_vcf_collection">
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206 <collection type="list">
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207 <element name="01_1787_FL_Zoo_Jaguar.vcf" value="01_1787_FL_Zoo_Jaguar.vcf" dbkey="89"/>
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208 <element name="02_5877_MEX_TX_Fed.vcf" value="02_5877_MEX_TX_Fed.vcf" dbkey="89"/>
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209 <element name="02_0585_COA_TX_Fed.vcf" value="02_0585_COA_TX_Fed.vcf" dbkey="89"/>
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210 </collection>
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211 </param>
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212 <param name="input_excel_param" value="yes"/>
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213 <param name="input_excel" value="89"/>
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214 <output_collection name="snps" type="list" count="1">
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215 <element name="Mbovis-17" file="Mbovis-17_snps.fasta" ftype="fasta" compare="contains"/>
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216 </output_collection>
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217 <output_collection name="json_avg_mq" type="list" count="1">
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218 <element name="Mbovis-17" file="Mbovis-17_avg_mq_json.json" ftype="json" compare="contains"/>
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219 </output_collection>
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220 <output_collection name="json_snps" type="list" count="1">
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221 <element name="Mbovis-17" file="Mbovis-17_snps_json.json" ftype="json" compare="contains"/>
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222 </output_collection>
9
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223 <output name="output_summary" file="output_summary3.html" ftype="html" compare="contains"/>
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224 </test>
9
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225 <!-- An input collection, an excel file, all_isolates is True -->
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226 <test expect_num_outputs="4">
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227 <param name="input_zc_vcf_type" value="collection"/>
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228 <param name="input_zc_vcf_collection">
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229 <collection type="list">
9
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230 <element name="BCG_Pasteur_Unknown_FR_SRR8886989.vcf" value="BCG_Pasteur_Unknown_FR_SRR8886989.vcf" dbkey="89"/>
0fe292b20b9d "planemo upload for repository https://github.com/gregvonkuster/galaxy_tools/tree/master/tools/sequence_analysis/vsnp/vsnp_get_snps commit 3b7fef2d17fec96647345e89c774d4af417d23d7"
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231 <element name="BCG_Tokyo_Unknown_JP_DRR029468.vcf" value="BCG_Tokyo_Unknown_JP_DRR029468.vcf" dbkey="89"/>
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232 </collection>
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233 </param>
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234 <param name="input_vcf_collection">
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235 <collection type="list">
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236 <element name="01_1787_FL_Zoo_Jaguar.vcf" value="01_1787_FL_Zoo_Jaguar.vcf" dbkey="89"/>
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237 <element name="02_5877_MEX_TX_Fed.vcf" value="02_5877_MEX_TX_Fed.vcf" dbkey="89"/>
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238 <element name="02_0585_COA_TX_Fed.vcf" value="02_0585_COA_TX_Fed.vcf" dbkey="89"/>
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239 </collection>
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240 </param>
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241 <param name="input_excel_param" value="yes"/>
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242 <param name="input_excel" value="89"/>
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243 <param name="all_isolates" value="--all_isolates"/>
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244 <output_collection name="snps" type="list" count="2">
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245 <element name="Mbovis-17" file="Mbovis-17_snps.fasta" ftype="fasta" compare="contains"/>
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246 <element name="all_vcf" file="all_vcf2.fasta" ftype="fasta" compare="contains"/>
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247 </output_collection>
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248 <output_collection name="json_avg_mq" type="list" count="2">
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249 <element name="Mbovis-17" file="Mbovis-17_avg_mq_json.json" ftype="json" compare="contains"/>
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250 <element name="all_vcf" file="Mbovis-17_avg_mq_json.json" ftype="json" compare="contains"/>
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251 </output_collection>
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252 <output_collection name="json_snps" type="list" count="2">
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253 <element name="Mbovis-17" file="Mbovis-17_snps_json.json" ftype="json" compare="contains"/>
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254 <element name="all_vcf" file="Mbovis-17_snps_json.json" ftype="json" compare="contains"/>
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255 </output_collection>
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256 <output name="output_summary" file="output_summary4.html" ftype="html" compare="contains"/>
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257 </test>
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258 </tests>
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259 <help>
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260 **What it does**
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261
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262 Accepts a zero coverage VCF file produced by the **vSNP: add zero coverage** tool (or a collection of them) along with a collection
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263 of zero coverage VCF files that have been aligned with the same reference and contain SNPs called between closely related isolate groups.
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264 The tool produces fasta files containing SNP alignments, json files containing the SNP positions and additional json files containing
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265 the average map quality values.
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266
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267 The SNP alignments produced by this tool are used to create phylogenetic trees, so larger input collections result in more populated
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268 phylogenetic trees. Both of the json outputs are used by the **vSNP: build tables** tool to produce annotated SNP tables in the form
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269 of Excel spreadsheets.
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270
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271 An Excel spreadsheet containing specified SNPs can optiomally be used to filter desired SNP positions by group. Users can choose a
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272 locally cached Excel spreadsheet or one from their current history.
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273
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274 A SNP is added to a group if it has at least one position with a specified allele count value, a quality score greater than a specified
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275 value, and a map quality greater than a specified value.
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276
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277 If the allele count equals the specified value (2) and the quality score for a SNP position is greater than the minimum quality score
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278 value (150), the alternate allele is called.
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279
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280 However, if the allele count is 1, the position is called ambiguous. Deletions are called when the alternate allele is a gap. If the
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281 quality score is less than or equal to the minimum quality score N value for alleles (150), the allele is marked "N".
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282
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283 **Required Options**
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284
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285 * **Zero coverage VCF file(s)** - Select a single or collection of zero coverage VCF files, typically produced by the **vSNP: add zero coverage** tool, from the current history.
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286 * **Collection of zero coverage VCF files with SNPs found in closely related isolate groups** - Select a dataset collection of zero coverage vcf files from the current history.
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287
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288 **Additional Options**
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289
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290 * **Allele count threshold** - At least 1 position must have an allele count greater than this value for a SNP to be added to a group (2 is optimal).
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291 * **Map quality threshold** - At least 1 position must have a higher MQ value for a SNP to be added to a group (56 is optimal).
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292 * **Quality score threshold** -At least 1 position must have a higher quality score for a SNP to be added to a group (150 is optimal).
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293 * **Minimum quality score N value for alleles** - If none of the avove 3 requirements is met and the quality score is less than or equal to the minimum quality score N value for alleles, the allele is marked "N" (150 is optimal).
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294 * **Use Excel file for grouping and filtering?** - select Yes to filter desired SNP positions by group. A cached Excel spreadsheet provides the most widely used SNP positions for grouping, but a custom spreadhseet can be selected from the current history.
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295 * **Create a group containing all isolates?** - select Yes to output an additional group containing of all isolates.
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296 </help>
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297 <expand macro="citations"/>
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298 </tool>
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299