annotate interproscan5/ips5.xml @ 0:0da2847fc108 draft default tip

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author si-datascience
date Thu, 24 May 2018 14:57:30 -0400
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1 <tool id="ips5" name="Interproscan" version="5.0.2mkh">
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2 <description>Interproscan functional predictions of ORFs.</description>
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3 <requirements>
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4 <!--
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5 <requirement type="package">signalp</requirement>
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6 <requirement type="package">phobius</requirement>
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7 <requirement type="package">tmhmm</requirement>
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8 -->
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9 <requirement type="set_environment">INTERPROSCAN_SCRIPT_PATH</requirement>
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10 </requirements>
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11
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12 <command>
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13 #import os
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14 echo "Start timestamp: \$(date)";
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15 \$INTERPROSCAN_SCRIPT_PATH/interproscan.sh
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16 ## disables the precalculated lookup service, all calculation will be run locally
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17 -dp
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18 --input $infile
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19 --seqtype $seqtype
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20 -f tsv,$output_types
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21 --applications $appl
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22
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23 $pathways
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24 $goterms
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25 $iprlookup
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26 $mode
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27 --output-file-base __base__
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28 2>&#38;1;
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29
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30 mv __base__.tsv $tsv_file;
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31
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32 #if 'gff3' in str($output_types):
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33 mv __base__.gff3 $gff3_file;
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34 #end if
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35
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36 #if 'xml' in str($output_types):
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37 mv __base__.xml $xml_file;
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38 #end if
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39
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40 #if 'html' in str($output_types):
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41 mkdir -p $html_file.files_path;
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42 #set temp_archive_file = '__base__.html.tar.gz'
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43 tar -C $html_file.files_path -xvmzf $temp_archive_file;
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si-datascience
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44 #if str($seqtype) == 'p' and not str($getorfed):
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45 python \$INTERPROSCAN_SCRIPT_PATH/interproscan5/create_html_index.py 0 $tsv_file $html_file $html_file.files_path;
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46 #else
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47 python \$INTERPROSCAN_SCRIPT_PATH/interproscan5/create_html_index.py 1 $tsv_file $html_file $html_file.files_path;
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48 #end if
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49 rm $temp_archive_file;
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50 #end if
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51
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52 #if 'svg' in str($output_types):
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53 mkdir -p $svg_file.files_path;
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54 #set temp_archive_file = '__base__.svg.tar.gz'
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55 tar -C $svg_file.files_path -xvmzf $temp_archive_file;
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56 #if str($seqtype) == 'p' and not str($getorfed):
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57 python \$INTERPROSCAN_SCRIPT_PATH/interproscan5/create_html_index.py 0 $tsv_file $svg_file $svg_file.files_path;
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58 #else
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59 python \$INTERPROSCAN_SCRIPT_PATH/interproscan5/create_html_index.py 1 $tsv_file $svg_file $svg_file.files_path;
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60 #end if
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61 rm $temp_archive_file;
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62 #end if
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63
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64 echo "End timestamp: \$(date)"
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65 </command>
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66
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67 <inputs>
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68 <param name="infile" type="data" format="fasta" label="Sequence Fasta File"/>
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69
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70 <param name="seqtype" type="select" label="Type of the input sequences" help="">
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71 <option value="p" selected="true">Protein</option>
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72 <option value="n">DNA / RNA</option>
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73 </param>
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74
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75 <param name="getorfed" type="boolean" label="DNA/RNA was externally processed by getorf?" help="Ignored for DNA inputs."
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76 truevalue="getorfed"
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77 falsevalue=""/>
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78
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79 <param name="mode" type="boolean" label="Run on cluster?" help="Check to submit job to cluster."
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80 truevalue="--mode=cluster --clusterrunid=gtdi-ips-analysis"
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81 falsevalue=""/>
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82
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83 <param name="appl" type="select" multiple="True" display="checkboxes" label="Applications to run"
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84 help="Select your programm.">
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85 <option value="TIGRFAM"
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86 selected="true">TIGRFAM: protein families based on Hidden Markov Models or HMMs</option>
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87 <option value="PIRSF" selected="true">PIRSF: non-overlapping clustering of UniProtKB sequences into a hierarchical order (evolutionary relationships)</option>
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88 <option value="ProDom"
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89 selected="true">ProDom: set of protein domain families generated from the UniProtKB</option>
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90 <option value="Panther"
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91 selected="true">Panther: Protein ANalysis THrough Evolutionary Relationships</option>
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92 <option value="SMART" selected="true">SMART: identification and analysis of domain architectures based on Hidden Markov Models or HMMs</option>
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93 <option value="PrositeProfiles" selected="true">PROSITE Profiles: protein domains, families and functional sites as well as associated profiles to identify them</option>
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94 <option value="PrositePatterns" selected="true">PROSITE Pattern: protein domains, families and functional sites as well as associated patterns to identify them</option>
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95 <option value="HAMAP"
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96 selected="true">HAMAP: High-quality Automated Annotation of Microbial Proteomes</option>
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97 <option value="PfamA" selected="true">PfamA: protein families, each represented by multiple sequence alignments and hidden Markov models</option>
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98 <option value="PRINTS" selected="true">PRINTS: group of conserved motifs (fingerprints) used to characterise a protein family</option>
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99 <option value="SuperFamily"
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100 selected="true">SUPERFAMILY: database of structural and functional annotation</option>
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101 <option value="Coils" selected="true">Coils: Prediction of Coiled Coil Regions in Proteins</option>
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102 <option value="Gene3d" selected="true">Gene3d: Structural assignment for whole genes and genomes using the CATH domain structure database</option>
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103 <option value="SignalP-GRAM_POSITIVE" selected="false">SignalP Gram Positive Bacteria</option>
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104 <option value="SignalP-GRAM_NEGATIVE" selected="false">SignalP Gram Negative Bacteria</option>
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105 <option value="SignalP-EUK" selected="false">SignalP Eukaryotic Bacteria</option>
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106 <option value="Phobius" selected="false">Phobius: combined transmembrane topology and signal peptide predictor</option>
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107 <option value="TMHMM" selected="false">TMHMM: Prediction of transmembrane helices in proteins</option>
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108 </param>
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109
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110 <param name="pathways" truevalue="--pathways" falsevalue="" checked="True" type="boolean"
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111 label="Include pathway information"
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112 help="Option that provides mappings from matches to pathway information, which is based on the matched manually curated InterPro entries. (--pathways)"/>
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113 <param name="goterms" truevalue="--goterms" falsevalue="" checked="True" type="boolean"
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114 label="Include Gene Ontology (GO) mappings"
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115 help="Look up of corresponding Gene Ontology annotation. Implies -iprlookup option. (--goterms)"/>
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116
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117 <param name="iprlookup" truevalue="--iprlookup" falsevalue="" checked="False" type="boolean"
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118 label="Provide additional mappings"
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119 help="Provide mappings from matched member database signatures to the InterPro entries that they are integrated into (--iprlookup)"/>
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120
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121 <param name="output_types" type="select" display="checkboxes" multiple="true" label="Output formats (in addition to TSV)"
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122 help="Select the output formats to generate (at least one)">
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123 <option value="html" selected="true">HTML (Graphical)</option>
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124 <option value="svg" selected="false">SVG (Scalable Vector Graphics)</option>
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125 <option value="gff3" selected="true">GFF3</option>
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126 <option value="xml" selected="false">XML</option>
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127 </param>
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128 </inputs>
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129
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130 <outputs>
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131 <data format="tabular" name="tsv_file" label="Interproscan TSV on ${on_string}"/>
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132 <data format="html" name="html_file" label="Interproscan HTML on ${on_string}">
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133 <filter>'html' in output_types</filter>
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134 </data>
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135 <data format="html" name="svg_file" label="Interproscan SVG on ${on_string}">
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136 <filter>'svg' in output_types</filter>
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137 </data>
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138 <data format="gff3" name="gff3_file" label="Interproscan GFF3 on ${on_string}">
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139 <filter>'gff3' in output_types</filter>
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140 </data>
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141 <data format="xml" name="xml_file" label="Interproscan XML on ${on_string}">
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142 <filter>'xml' in output_types</filter>
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si-datascience
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143 </data>
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144 </outputs>
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145
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146 <requirements>
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147 </requirements>
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148
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si-datascience
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149 <help>
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150
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si-datascience
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151 **What it does**
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152
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153 Interproscan is a batch tool to query the Interpro database. It provides annotations based on multiple searches of profile and other functional databases.
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154
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155
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156 #####
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157 Input
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158 #####
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159
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160 Required is a FASTA file containing protein or nucleotide sequences.
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161
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162
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163 ######
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164 Output
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165 ######
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166
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167 In this version of InterProScan_, you can retrieve output in any of the following five formats:
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168
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169 * TSV: a simple tab-delimited file format
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170 * XML: the new "IMPACT" XML format (XSD available here_).
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171 * GFF: The `GFF 3.0`_ format
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172 * HTML: An HTML representation of the protein matches
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173 * SVG: An Scalable Vector Graphics representation of the protein matches
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174
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175
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176 .. _`GFF 3.0`: http://gmod.org/wiki/GFF#GFF3_Format
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177 .. _here: http://www.ebi.ac.uk/interpro/resources/schemas/interproscan5
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178
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179
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180
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181 Tab-separated values format (TSV)
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182 =================================
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183
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184 Basic tab delimited format.
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185
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186
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187 Example Output
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188 --------------
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189
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190 ::
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191
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192 P51587 14086411a2cdf1c4cba63020e1622579 3418 Pfam PF09103 BRCA2, oligonucleotide/oligosaccharide-binding, domain 1 2670 2799 7.9E-43 T 15-03-2013
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193 P51587 14086411a2cdf1c4cba63020e1622579 3418 ProSiteProfiles PS50138 BRCA2 repeat profile. 1002 1036 0.0 T 18-03-2013 IPR002093 BRCA2 repeat GO:0005515|GO:0006302
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194 P51587 14086411a2cdf1c4cba63020e1622579 3418 Gene3D G3DSA:2.40.50.140 2966 3051 3.1E-52 T 15-03-2013
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195 ...
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si-datascience
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196
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197
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198 The TSV format presents the match data in columns as follows:
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199
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si-datascience
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200 - Protein Accession (e.g. P51587)
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si-datascience
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201 - Sequence MD5 digest (e.g. 14086411a2cdf1c4cba63020e1622579)
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si-datascience
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202 - Sequence Length (e.g. 3418)
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si-datascience
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203 - Analysis (e.g. Pfam / PRINTS / Gene3D)
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si-datascience
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204 - Signature Accession (e.g. PF09103 / G3DSA:2.40.50.140)
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si-datascience
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205 - Signature Description (e.g. BRCA2 repeat profile)
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si-datascience
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206 - Start location
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si-datascience
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207 - Stop location
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si-datascience
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208 - Score - is the e-value of the match reported by member database method (e.g. 3.1E-52)
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si-datascience
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209 - Status - is the status of the match (T: true)
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si-datascience
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210 - Date - is the date of the run
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si-datascience
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211 - (InterProScan_ annotations - accession (e.g. IPR002093) - optional column; only displayed if -iprscan option is switched on)
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212 - (InterProScan_ annotations - description (e.g. BRCA2 repeat) - optional column; only displayed if -iprscan option is switched on)
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si-datascience
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213 - (GO annotations (e.g. GO:0005515) - optional column; only displayed if --goterms option is switched on)
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si-datascience
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214 - (Pathways annotations (e.g. REACT_71) - optional column; only displayed if --pathways option is switched on)
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si-datascience
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215
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si-datascience
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216
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217 Extensible Markup Language (XML)
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si-datascience
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218 ================================
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si-datascience
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219
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220 XML representation of the matches - this is the richest form of the data. The XML Schema Definition (XSD) is available [http://www.ebi.ac.uk/interpro/resources/schemas/interproscan5 here].
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221
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222 Example Output
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223 --------------
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224
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225 .. image:: $PATH_TO_IMAGES/example_xml_output.png
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226
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si-datascience
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227
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si-datascience
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228
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si-datascience
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229 Generic Feature Format Version 3 (GFF3)
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si-datascience
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230 =======================================
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231
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232 The GFF3 format is a flat tab-delimited file, which is much richer then the TSV output format. It allows you to trace back from matches to predicted proteins and to nucleic acid sequences. It also contains a FASTA format representation of the predicted protein sequences and their matches. You will find a documentation of all the columns and attributes used on [http://www.sequenceontology.org/gff3.shtml].
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233
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234 Example Output
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235 --------------
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si-datascience
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236
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si-datascience
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237 ::
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si-datascience
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238
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si-datascience
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239 ##gff-version 3
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240 ##feature-ontology http://song.cvs.sourceforge.net/viewvc/song/ontology/sofa.obo?revision=1.269
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241 ##sequence-region AACH01000027 1 1347
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si-datascience
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242 ##seqid|source|type|start|end|score|strand|phase|attributes
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243 AACH01000027 provided_by_user nucleic_acid 1 1347 . + . Name=AACH01000027;md5=b2a7416cb92565c004becb7510f46840;ID=AACH01000027
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244 AACH01000027 getorf ORF 1 1347 . + . Name=AACH01000027.2_21;Target=pep_AACH01000027_1_1347 1 449;md5=b2a7416cb92565c004becb7510f46840;ID=orf_AACH01000027_1_1347
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245 AACH01000027 getorf polypeptide 1 449 . + . md5=fd0743a673ac69fb6e5c67a48f264dd5;ID=pep_AACH01000027_1_1347
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246 AACH01000027 Pfam protein_match 84 314 1.2E-45 + . Name=PF00696;signature_desc=Amino acid kinase family;Target=null 84 314;status=T;ID=match$8_84_314;Ontology_term="GO:0008652";date=15-04-2013;Dbxref="InterPro:IPR001048","Reactome:REACT_13"
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si-datascience
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247 ##sequence-region 2
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si-datascience
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248 ...
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si-datascience
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249 >pep_AACH01000027_1_1347
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si-datascience
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250 LVLLAAFDCIDDTKLVKQIIISEIINSLPNIVNDKYGRKVLLYLLSPRDPAHTVREIIEV
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si-datascience
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diff changeset
251 LQKGDGNAHSKKDTEIRRREMKYKRIVFKVGTSSLTNEDGSLSRSKVKDITQQLAMLHEA
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252 GHELILVSSGAIAAGFGALGFKKRPTKIADKQASAAVGQGLLLEEYTTNLLLRQIVSAQI
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253 LLTQDDFVDKRRYKNAHQALSVLLNRGAIPIINENDSVVIDELKVGDNDTLSAQVAAMVQ
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254 ADLLVFLTDVDGLYTGNPNSDPRAKRLERIETINREIIDMAGGAGSSNGTGGMLTKIKAA
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si-datascience
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255 TIATESGVPVYICSSLKSDSMIEAAEETEDGSYFVAQEKGLRTQKQWLAFYAQSQGSIWV
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si-datascience
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256 DKGAAEALSQYGKSLLLSGIVEAEGVFSYGDIVTVFDKESGKSLGKGRVQFGASALEDML
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si-datascience
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257 RSQKAKGVLIYRDDWISITPEIQLLFTEF
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si-datascience
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258 ...
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si-datascience
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diff changeset
259 >match$8_84_314
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260 KRIVFKVGTSSLTNEDGSLSRSKVKDITQQLAMLHEAGHELILVSSGAIAAGFGALGFKK
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si-datascience
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261 RPTKIADKQASAAVGQGLLLEEYTTNLLLRQIVSAQILLTQDDFVDKRRYKNAHQALSVL
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si-datascience
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262 LNRGAIPIINENDSVVIDELKVGDNDTLSAQVAAMVQADLLVFLTDVDGLYTGNPNSDPR
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si-datascience
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263 AKRLERIETINREIIDMAGGAGSSNGTGGMLTKIKAATIATESGVPVYICS
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si-datascience
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264
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si-datascience
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265
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si-datascience
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266 Scalable Vector Graphics (SVG) and HyperText Markup Language (HTML)
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si-datascience
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diff changeset
267 ====================================================================
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si-datascience
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268
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si-datascience
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269 InterProScan_ 5 outputs a single HTML/SVG file for each protein sequence analysed.
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si-datascience
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270
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271
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272 Example Output
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273 --------------
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si-datascience
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274
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si-datascience
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275 .. image:: $PATH_TO_IMAGES/P51587.svg.png
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si-datascience
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276
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si-datascience
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277 .. _InterProScan: http://www.ebi.ac.uk/interpro
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si-datascience
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278
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si-datascience
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279
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si-datascience
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280 ----------
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si-datascience
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281 References
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si-datascience
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282 ----------
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si-datascience
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283
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si-datascience
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284
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si-datascience
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285 If you use this Galaxy tool in work leading to a scientific publication please
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si-datascience
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diff changeset
286 cite the following papers:
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si-datascience
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287
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si-datascience
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288 Peter J.A. Cock, Björn A. Grüning, Konrad Paszkiewicz and Leighton Pritchard (2013).
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si-datascience
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289 Galaxy tools and workflows for sequence analysis with applications
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290 in molecular plant pathology. PeerJ 1:e167
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si-datascience
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291 http://dx.doi.org/10.7717/peerj.167
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si-datascience
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292
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si-datascience
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293 Zdobnov EM, Apweiler R (2001)
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si-datascience
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294 InterProScan an integration platform for the signature-recognition methods in InterPro.
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si-datascience
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295 Bioinformatics 17, 847-848.
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si-datascience
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296 http://dx.doi.org/10.1093/bioinformatics/17.9.847
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si-datascience
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297
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si-datascience
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298 Quevillon E, Silventoinen V, Pillai S, Harte N, Mulder N, Apweiler R, Lopez R (2005)
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si-datascience
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diff changeset
299 InterProScan: protein domains identifier.
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si-datascience
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diff changeset
300 Nucleic Acids Research 33 (Web Server issue), W116-W120.
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si-datascience
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diff changeset
301 http://dx.doi.org/10.1093/nar/gki442
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si-datascience
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302
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si-datascience
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303 Hunter S, Apweiler R, Attwood TK, Bairoch A, Bateman A, Binns D, Bork P, Das U, Daugherty L, Duquenne L, Finn RD, Gough J, Haft D, Hulo N, Kahn D, Kelly E, Laugraud A, Letunic I, Lonsdale D, Lopez R, Madera M, Maslen J, McAnulla C, McDowall J, Mistry J, Mitchell A, Mulder N, Natale D, Orengo C, Quinn AF, Selengut JD, Sigrist CJ, Thimma M, Thomas PD, Valentin F, Wilson D, Wu CH, Yeats C. (2009)
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si-datascience
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304 InterPro: the integrative protein signature database.
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si-datascience
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diff changeset
305 Nucleic Acids Research 37 (Database Issue), D224-228.
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si-datascience
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diff changeset
306 http://dx.doi.org/10.1093/nar/gkn785
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si-datascience
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307
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si-datascience
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308
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si-datascience
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309 This wrapper is available to install into other Galaxy Instances via the Galaxy Tool Shed at
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si-datascience
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310 http://toolshed.g2.bx.psu.edu/view/bgruening/interproscan5
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si-datascience
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311
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si-datascience
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312
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si-datascience
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313 **Galaxy Wrapper Author**::
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si-datascience
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314
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si-datascience
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315 * Bjoern Gruening, University of Freiburg
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si-datascience
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316 * Konrad Paszkiewicz, University of Exeter
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si-datascience
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317
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si-datascience
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318 </help>
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si-datascience
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319 </tool>