annotate rnaz.xml @ 3:3c43015da1d8 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/rnaz commit 2c2cc0e0638ebe372836509f5ff3d05a0bb34210-dirty
author bgruening
date Thu, 28 Sep 2017 11:57:06 -0400
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1 <tool id="rnaz" name="RNAz" version="2.1.1">
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2 <description>predicting structurally conserved and thermodynamically stable RNA secondary structures</description>
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3
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4 <requirements>
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5 <requirement type="package" version="2.1">rnaz</requirement>
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6 </requirements>
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8 <stdio>
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9 <exit_code range="1:" level="fatal" description="Error occurred. Please check Tool Standard Error" />
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10 <exit_code range=":-1" level="fatal" description="Error occurred. Please check Tool Standard Error" />
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11 </stdio>
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13 <version_command>RNAz --version</version_command>
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14 <command>
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15 <![CDATA[
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16 RNAz '$input'
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17 --$forward_or_reverse
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18 $zscore
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19 $locarnate
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20 $noshuffle
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21 #if $cutoff != -1.0:
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22 --cutoff=$cutoff
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23 #end if
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24 > temp.txt &&
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25 grep -v -E "^ |^#|^$" temp.txt > '$outfile' &&
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26 grep -E "^ |^#|^$" temp.txt
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27 ]]>
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28 </command>
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29 <inputs>
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30 <param format="txt" name="input" type="data" label="Input Alignment File" />
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31 <param name="forward_or_reverse" type="select" label="Scored strand">
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32 <option value="forward">Score forward strand (-f)</option>
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33 <option value="reverse">Score reverse strand (-r)</option>
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34 <option value="both-strands">Score both strands (-b)</option>
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35 </param>
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36 <param name="zscore" type="select" label="Which type of z-scores">
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37 <option value="--mononucleotide">Use mononucleotide shuffled z-scores</option>
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38 <option value="--dinucleotide" selected="true">Use dinucleotide shuffled z-scores</option>
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39 </param>
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40 <param argument="--cutoff" label="Probability cutoff" type="float" value="-1.0" help="-1.0 to deactivate"/>
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41 <param argument="--locarnate" type="boolean" checked="false" truevalue="--locarnate" falsevalue="" label="Use decision model for structural alignments" />
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42 <param argument="--no-shuffle" name="noshuffle" type="boolean" checked="false" truevalue="--no-shuffle" falsevalue="" label="Never fall back to shuffling" />
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43 </inputs>
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44 <outputs>
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45 <data name="outfile" format="fasta" />
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46 </outputs>
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47 <tests>
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48 <test>
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49 <param name="input" value="rnaz_input_trna.aln"/>
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50 <output name="outfile" file="rnaz_result_trna.fasta"/>
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51 </test>
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52 <test>
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53 <param name="input" value="rnaz_test_input2.aln"/>
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54 <output name="outfile" file="rnaz_result2.fasta"/>
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55 </test>
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56 </tests>
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57 <help>
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58 <![CDATA[
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59
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60 **What it does**
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62 RNAz is a program for predicting structurally conserved and thermodynamically stable RNA secondary structures in multiple sequence alignments. It can be used in genome wide screens to detect functional RNA structures, as found in noncoding RNAs and cis-acting regulatory elements of mRNAs.
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63
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64 **Input**
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65
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66 Input is a multiple sequence alignment file. Currently the the following alignment formats can be read: CLUSTALW, FASTA, PHYLIP,NEXUS, MAF, and XMFA. Alignments can be generated by any sequence based alignment program. Sequence alignment tools can be found in Galaxy too (e.g. ClustalW).
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68 Example:
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69
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70 CLUSTAL 2.1 multiple sequence alignment
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73 sacCer1 GCCTTGTTGGCGCAATCGGTAGCGCGTATGACTCTTAATCATAAGGTTAGGGGTTCGAGC
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75 sacKlu GCCTTGTTGGCGCAATCGGTAGCGCGTATGACTCTTAATCATAAGGCTAGGGGTTCGAGC
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77 sacBay GCCTTGTTGGCGCAATCGGTAGCGCGTATGACTCTTAATCATAAGGTTAGGGGTTCGAGC
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79 sacCas GCTTCAGTAGCTCAGTCGGAAGAGCGTCAGTCTCATAATCTGAAGGTCGAGAGTTCGAAC
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81 \** * * \** \** \**\** \** \**\** * *\** \**\**\* *\**\* * \**\**\** *
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83
1
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84 **Output**
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85
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86 In Galaxy RNAz gives you 2 output files: a summary file and a result file. For the example input they look like this:
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87
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88 Summary:
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89
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90 Sequences: 4
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91 Columns: 60
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92 Reading direction: forward
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93 Mean pairwise identity: 82.50
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94 Shannon entropy: 0.28395
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95 G+C content: 0.51667
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96 Mean single sequence MFE: -16.67
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97 Consensus MFE: -15.59
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98 Energy contribution: -15.53
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99 Covariance contribution: -0.06
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100 Combinations/Pair: 1.26
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101 Mean z-score: -0.66
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102 Structure conservation index: 0.93
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103 Background model: mononucleotide
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104 Decision model: sequence based alignment quality
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105 SVM decision value: -0.64
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106 SVM RNA-class probability: 0.238023
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107 Prediction: OTHER
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108
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109
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110 Result file:
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111
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112 >sacCer1
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113
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114 GCCUUGUUGGCGCAAUCGGUAGCGCGUAUGACUCUUAAUCAUAAGGUUAGGGGUUCGAGC
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115
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116 ..((((...((((........))))....(((((((((((....))))))))))))))). ( -19.00, z-score = -1.44, R)
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117
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118 >sacKlu
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119
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120 GCCUUGUUGGCGCAAUCGGUAGCGCGUAUGACUCUUAAUCAUAAGGCUAGGGGUUCGAGC
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121
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122 ..((((...((((........))))....((((((((..(....)..)))))))))))). ( -16.00, z-score = -0.11, R)
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123
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124 >sacBay
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125
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126 GCCUUGUUGGCGCAAUCGGUAGCGCGUAUGACUCUUAAUCAUAAGGUUAGGGGUUCGAGC
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127
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128 ..((((...((((........))))....(((((((((((....))))))))))))))). ( -19.00, z-score = -1.44, R)
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129
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130 >sacCas
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131
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132 GCUUCAGUAGCUCAGUCGGAAGAGCGUCAGUCUCAUAAUCUGAAGGUCGAGAGUUCGAAC
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133
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134 .((((((..((((........))))..............)))))).(((......))).. ( -12.69, z-score = 0.35, R)
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135
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136 >consensus
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137
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138 GCCUUGUUGGCGCAAUCGGUAGCGCGUAUGACUCUUAAUCAUAAGGUUAGGGGUUCGAGC
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139
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140 ..((((...((((........))))....(((((((((((....))))))))))))))). (-15.59 = -15.53 + -0.06)
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141
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142
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143
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144
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145
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146
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147 ]]>
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148
0
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149 </help>
1
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150
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151 <citations>
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152 <citation type="doi">10.1142/9789814295291_0009</citation>
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153 </citations>
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154
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155 </tool>