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annotate annotateMyIDs.xml @ 6:a4745bc5a840 draft

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planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/annotatemyids commit a0c51ab52c4e3f296d5577ee3af26c4c1465e1e9
author iuc
date Fri, 08 Mar 2019 04:39:10 -0500
parents e7a359b56538
children f23e8ea9dd8a
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1 <tool id="annotatemyids" name="annotateMyIDs" version="3.7.0">
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2 <description>annotate a generic set of identifiers</description>
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3 <requirements>
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4 <requirement type="package" version="3.7.0">bioconductor-org.hs.eg.db</requirement>
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5 <requirement type="package" version="3.7.0">bioconductor-org.mm.eg.db</requirement>
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6 <requirement type="package" version="3.7.0">bioconductor-org.dm.eg.db</requirement>
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7 <requirement type="package" version="3.7.0">bioconductor-org.dr.eg.db</requirement>
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8 </requirements>
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9 <version_command><![CDATA[
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10 echo $(R --version | grep version | grep -v GNU)", org.Hs.eg.db version" $(R --vanilla --slave -e "library(org.Hs.eg.db); cat(sessionInfo()\$otherPkgs\$org.Hs.eg.db\$Version)" 2> /dev/null | grep -v -i "WARNING: ")", org.Dr.eg.db version" $(R --vanilla --slave -e "library(org.Dr.eg.db); cat(sessionInfo()\$otherPkgs\$org.Dr.eg.db\$Version)" 2> /dev/null | grep -v -i "WARNING: ")", org.Dm.eg.db version" $(R --vanilla --slave -e "library(org.Dm.eg.db); cat(sessionInfo()\$otherPkgs\$org.Dm.eg.db\$Version)" 2> /dev/null | grep -v -i "WARNING: ")", org.Mm.eg.db version" $(R --vanilla --slave -e "library(org.Mm.eg.db); cat(sessionInfo()\$otherPkgs\$org.Mm.eg.db\$Version)" 2> /dev/null | grep -v -i "WARNING: ")
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11 ]]></version_command>
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12 <command detect_errors="exit_code"><![CDATA[
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13 #if $rscriptOpt:
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14 cp '${annotatemyids_script}' '${out_rscript}' &&
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15 #end if
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16 Rscript '${annotatemyids_script}'
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17 ]]>
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18 </command>
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19 <configfiles>
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20 <configfile name="annotatemyids_script"><![CDATA[
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21 options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } )
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22
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23 # we need that to not crash galaxy with an UTF8 error on German LC settings.
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24 loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8")
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26 id_type <- "${id_type}"
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27 organism <- "${organism}"
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28 output_cols <- "${output_cols}"
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29 file_has_header <- ${file_has_header}
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30 remove_dups <- ${remove_dups}
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31
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32 input <- read.table('$id_file', header=file_has_header, sep="\t", quote="")
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33 ids <- as.character(input[, 1])
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35 if(organism == "Hs"){
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36 suppressPackageStartupMessages(library(org.Hs.eg.db))
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37 db <- org.Hs.eg.db
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38 } else if (organism == "Mm"){
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39 suppressPackageStartupMessages(library(org.Mm.eg.db))
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40 db <- org.Mm.eg.db
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41 } else if (organism == "Dm"){
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42 suppressPackageStartupMessages(library(org.Dm.eg.db))
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43 db <- org.Dm.eg.db
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44 } else if (organism == "Dr"){
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45 suppressPackageStartupMessages(library(org.Dr.eg.db))
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46 db <- org.Dr.eg.db
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47 } else {
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48 cat(paste("Organism type not supported", organism))
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49 }
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51 cols <- unlist(strsplit(output_cols, ","))
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52 result <- select(db, keys=ids, keytype=id_type, columns=cols)
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54 if(remove_dups) {
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55 result <- result[!duplicated(result$${id_type}),]
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56 }
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57
0
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58 write.table(result, file='$out_tab', sep="\t", row.names=FALSE, quote=FALSE)
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59
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60 ]]></configfile>
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61 </configfiles>
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62 <inputs>
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63 <param name="id_file" type="data" format="tabular" label="File with IDs" help="A tabular file with the first column containing one of the supported types of identifier, see Help below." />
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64 <param name="file_has_header" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="False" label="File has header?" help="If this option is set to Yes, the tool will assume that the input file has a column header in the first row and the identifers commence on the second line. Default: No" />
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65 <param name="organism" type="select" label="Organism" help="Select the organism the identifiers are from">
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66 <option value="Hs" selected="true">Human</option>
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67 <option value="Mm">Mouse</option>
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68 <option value="Dm">Fruit fly</option>
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69 <option value="Dr">Zebrafish</option>
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70 </param>
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71 <param name="id_type" type="select" label="ID Type" help="Select the type of IDs in your input file">
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72 <option value="ENSEMBL" selected="true">Ensembl Gene</option>
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73 <option value="ENSEMBLPROT">Ensembl Protein</option>
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74 <option value="ENSEMBLTRANS">Ensembl Transcript</option>
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75 <option value="ENTREZID">Entrez</option>
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76 <option value="FLYBASE">FlyBase</option>
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77 <option value="GO">GO</option>
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78 <option value="PATH">KEGG</option>
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79 <option value="MGI">MGI</option>
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80 <option value="REFSEQ">RefSeq</option>
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81 <option value="SYMBOL">Gene Symbol</option>
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82 <option value="ZFIN">Zfin</option>
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83 </param>
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84 <param name="output_cols" type="select" multiple="True" display="checkboxes" label="Output columns" help="Choose the columns you want in the output table. Note that selecting some columns such as GO or KEGG could make the table very large as some genes may be associated with many terms. Default: ENSEMBL, ENTREZID, SYMBOL, GENENAME">
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85 <option value="ALIAS">ALIAS</option>
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86 <option value="DESCRIPTION">DESCRIPTION</option>
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87 <option value="ENSEMBL" selected="True">ENSEMBL</option>
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88 <option value="ENTREZID" selected="True">ENTREZID</option>
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89 <option value="EVIDENCE">EVIDENCE</option>
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90 <option value="SYMBOL" selected="True">SYMBOL</option>
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91 <option value="GENENAME" selected="True">GENENAME</option>
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92 <option value="REFSEQ">REFSEQ</option>
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93 <option value="GO">GO</option>
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94 <option value="ONTOLOGY">ONTOLOGY</option>
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95 <option value="PATH">KEGG</option>
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96 </param>
2
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97 <param name="remove_dups" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="False" label="Remove duplicates?" help="If this option is set to Yes, only the first occurrence of each input Gene ID will be kept. Default: No" />
0
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98 <param name="rscriptOpt" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="False" label="Output Rscript?" help="If this option is set to Yes, the Rscript used to annotate the IDs will be provided as a text file in the output. Default: No" />
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99 </inputs>
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100 <outputs>
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101 <data name="out_tab" format="tabular" from_work_dir="*.tab" label="${tool.name} on ${on_string}: Annotated IDs" />
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102 <data name="out_rscript" format="txt" from_work_dir="*.txt" label="${tool.name} on ${on_string}: Rscript">
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103 <filter>rscriptOpt is True</filter>
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104 </data>
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105 </outputs>
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106 <tests>
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107 <!-- Ensure output table works -->
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108 <test expect_num_outputs="1">
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109 <param name="id_file" value="genelist.txt" ftype="tabular"/>
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110 <param name="id_type" value="SYMBOL"/>
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111 <param name="organism" value="Hs"/>
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112 <output name="out_tab" file="out.tab" />
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113 </test>
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114 <!-- Ensure Ensembl IDs input and Rscript output work -->
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115 <test expect_num_outputs="2">
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116 <param name="id_file" value="ensembl_ids.tab" ftype="tabular"/>
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117 <param name="id_type" value="ENSEMBL"/>
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118 <param name="organism" value="Hs"/>
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119 <param name="rscriptOpt" value="True" />
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120 <output name="out_tab" file="out_ensembl.tab" />
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121 <output name="out_rscript" file="out_rscript.txt" compare="sim_size" />
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122 </test>
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123 <!-- Ensure GO and KEGG output work -->
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124 <test expect_num_outputs="1">
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125 <param name="id_file" value="ensembl_ids.tab" ftype="tabular"/>
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126 <param name="id_type" value="ENSEMBL"/>
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127 <param name="organism" value="Hs"/>
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128 <param name="output_cols" value="ENSEMBL,GO,ONTOLOGY,EVIDENCE" />
2
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129 <output name="out_tab" file="out_gokegg.tab" />
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130 </test>
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131 <!-- Ensure duplicate Gene ID removal works -->
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132 <test expect_num_outputs="1">
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133 <param name="id_file" value="ensembl_ids.tab" ftype="tabular"/>
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134 <param name="id_type" value="ENSEMBL"/>
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135 <param name="organism" value="Hs"/>
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136 <param name="output_cols" value="ENSEMBL,GO,ONTOLOGY,EVIDENCE" />
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137 <param name="remove_dups" value="True" />
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138 <output name="out_tab" file="out_gokegg_dupsrem.tab" />
0
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139 </test>
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140 </tests>
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141 <help><![CDATA[
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142
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143 .. class:: infomark
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144
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145 **What it does**
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146
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147 This tool can get annotation for a generic set of IDs, using the Bioconductor_ annotation data packages. Supported organisms are human, mouse, fruit fly and zebrafish. The org.db packages that are used here are primarily based on mapping using Entrez Gene identifiers. More information on the annotation packages can be found at the Bioconductor website, for example, information on the human annotation package (org.Hs.eg.db) can be found here_.
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148
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149 Examples of what this tool can be used for are:
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150
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151 * adding gene names to IDs
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152 * mapping between IDs e.g. Entrez, Ensembl, Symbols
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153 * adding GO and KEGG identifiers
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154
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155 .. _Bioconductor: https://www.bioconductor.org/
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156 .. _here: http://bioconductor.org/packages/release/data/annotation/manuals/org.Hs.eg.db/man/org.Hs.eg.db.pdf
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157
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158 -----
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159
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160 **Inputs**
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161
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162 A tab-delimited file with identifiers in the first column. If the file contains a header row, select the file has a header option in the tool form above.
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163
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164 Example:
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165
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166 =============== =======================
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167 **GeneID** *Additional Columns...*
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168 --------------- -----------------------
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169 ENSG00000091831
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170 ENSG00000082175
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171 ENSG00000141736
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172 ENSG00000012048
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173 ENSG00000139618
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174 ENSG00000129514
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175 ENSG00000171862
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176 ENSG00000141510
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177 =============== =======================
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178
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179 ID types supported for input are:
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180
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181 * **ENSEMBL**: Ensembl gene IDs
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182 * **ENSEMBLPROT**: Ensembl protein IDs
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183 * **ENSEMBLTRANS**: Ensembl transcript IDs
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184 * **ENTREZID**: Entrez gene Identifiers
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185 * **FLYBASE**: FlyBase accession numbers
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186 * **GO**: GO Identifiers
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187 * **MGI**: Jackson Laboratory MGI gene accession numbers
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188 * **PATH**: KEGG Pathway Identifiers
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189 * **REFSEQ**: Refseq Identifiers
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190 * **SYMBOL**: The official gene symbol
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191 * **ZFIN**: Zfin accession numbers
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192
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193 .. class:: warningmark
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194
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195 This tool uses the ``select`` function from the Bioconductor AnnotationDBi_ package. Note that if you request columns that have multiple matches for your IDs, select will return *one row in the output for each possible match*. This has the effect that if you request multiple columns and some of them have a many-to-one relationship to the IDs, things will continue to multiply accordingly. So it's not a good idea to request a large number of columns unless you know what you are asking for should have a one-to-one relationship with the initial set of IDs. In general, if you need to retrieve a column like **GO** or **KEGG**, that has a many-to-one relationship to the original IDs, it is most useful to extract that separately.
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196
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197 .. _AnnotationDBi: https://www.bioconductor.org/packages/devel/bioc/manuals/AnnotationDbi/man/AnnotationDbi.pdf
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198
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199 -----
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200
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201 **Outputs**
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202
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203 If the input IDs are Ensembl, the default output will be similar to below, containing four columns. Other columns, such as GO and KEGG terms, can be selected above to be added as additional columns.
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204
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205 Example:
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206
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207 =============== ============ ========== =================================
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208 **ENSEMBL** **ENTREZID** **SYMBOL** **GENENAME**
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209 --------------- ------------ ---------- ---------------------------------
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210 ENSG00000091831 2099 ESR1 estrogen receptor 1
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211 ENSG00000082175 5241 PGR progesterone receptor
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212 ENSG00000141736 2064 ERBB2 erb-b2 receptor tyrosine kinase 2
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213 ENSG00000012048 672 BRCA1 breast cancer 1
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214 ENSG00000139618 675 BRCA2 breast cancer 2
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215 ENSG00000129514 3169 FOXA1 forkhead box A1
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216 ENSG00000171862 5728 PTEN phosphatase and tensin homolog
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217 ENSG00000141510 7157 TP53 tumor protein p53
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218 =============== ============ ========== =================================
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219
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220 Columns available for output include many of the ID columns already described under Inputs above and also:
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221
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222 * **ALIAS**: Commonly used gene symbols
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223 * **DESCRIPTION**: The description of the associated gene
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224 * **EVIDENCE**: Evidence codes for GO associations with a gene of interest
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225 * **GENENAME**: The full gene name
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226 * **ONTOLOGY**: For GO Identifiers, which Gene Ontology (BP, CC, or MF)
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227
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228 ]]></help>
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229 <citations>
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230 <citation type="bibtex">
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231 @unpublished{None,
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232 author = {Mark Dunning},
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233 title = {annotateMyIDs},
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234 year = {2017},
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235 eprint = {None},
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236 url = {}
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237 }</citation>
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238 </citations>
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239 </tool>