Mercurial > repos > jay > pdaug_peptide_data_access
annotate PDAUG_Peptide_Data_Access/PDAUG_Peptide_Data_Access.xml @ 2:c9078a576efe draft
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit 8b18552f6d2b2261efebe1075ff4c18a295b94dd"
author | jay |
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date | Tue, 29 Dec 2020 18:26:34 +0000 |
parents | f85327600c11 |
children | 20a0454c5347 |
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1 <tool id="pdaug_peptide_data_access" name="PDAUG Peptide Data Access" version="0.1.0"> |
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2 <description>Fetch peptide data from inbuild datasets and public databases</description> |
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3 |
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4 <requirements> |
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5 <requirement type="package" version="0.24.2">pandas</requirement> |
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6 <requirement type="package" version="4.1.2">modlamp</requirement> |
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7 <requirement type="package" version="8.0.21">mysql-connector-python</requirement> |
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8 </requirements> |
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9 <stdio> |
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10 <exit_code range="1" level="fatal" /> |
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11 </stdio> |
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12 <command detect_errors="exit_code"><![CDATA[ |
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14 python '$__tool_directory__/PDAUG_Peptide_Data_Access.py' -d '$SelectDatasets.DataBaseType' -o '$output1' |
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15 |
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16 #if $SelectDatasets.DataBaseType == "query_apd" |
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17 -L '$SelectDatasets.list1' |
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18 #end if |
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19 |
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20 #if $SelectDatasets.DataBaseType == "query_camp" |
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21 -L '$SelectDatasets.list2' |
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22 #end if |
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23 |
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24 ]]></command> |
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25 |
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26 |
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27 <inputs> |
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28 |
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29 <conditional name="SelectDatasets"> |
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30 |
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31 <param name="DataBaseType" type="select" label="Datasets" argument="--DataBaseType" help="Name of the data set."> |
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32 <option value="AMPvsTMP" selected="true" > AMPvsTMP </option> |
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33 <option value="AMPvsUniProt" > AMPvsUniProt </option> |
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34 <option value="ACPvsTMP"> ACPvsTMP </option> |
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35 <option value="ACPvsRandom"> ACPvsRandom </option> |
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36 <option value="query_apd"> Query APD Database</option> |
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37 <option value="query_camp" > Query CAMP Database </option> |
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38 </param> |
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39 |
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40 |
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41 |
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42 <when value="query_apd"> |
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43 <param name="list1" type='text' argument="-List" label="List of integers as IDs" help="List of integers as IDs" /> |
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44 </when> |
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45 |
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46 <when value="query_camp"> |
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47 <param name="list2" type='text' argument="-List" label="List of integers as IDs" help="List of integers as IDs" /> |
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48 </when> |
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49 |
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50 </conditional> |
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51 |
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52 |
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53 </inputs> |
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54 |
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55 <outputs> |
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56 <data name='output1' format='tabular' label="${tool.name} $on_string - ${SelectDatasets.DataBaseType} (tabular)" /> |
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57 </outputs> |
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58 |
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59 <tests> |
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60 <test> |
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61 <param name="DataBaseType" value="AMPvsTMP"/> |
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62 <output name="output1" file="Out.tsv"/> |
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63 </test> |
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64 |
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65 <test> |
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66 <param name="DataBaseType" value="query_apd"/> |
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67 <param name="list1" value="4,5,6" /> |
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68 <output name="output1" file="apd.tsv" lines_diff="8"/> |
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69 </test> |
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70 |
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71 <test> |
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72 <param name="DataBaseType" value="query_camp"/> |
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73 <param name="list2" value="3,4,5,9" /> |
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74 <output name="output1" file="camp.tsv" lines_diff="10"/> |
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75 </test> |
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76 |
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77 |
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78 </tests> |
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79 |
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80 <help><![CDATA[ |
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81 .. class:: infomark |
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82 |
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83 **What it does** |
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84 |
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85 This tool returns inbuild peptide data sets. |
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86 |
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87 * **AMPvsTMP** Antimicrobial peptides (AMP) consist of an intersection of all activity annotations of the APD2 and CAMP databases, where gram-positive, gram-negative, and antifungal exact matches were observed versus transmenbrane peptides (TMP) extracted from alpha-helical transmembrane regions of proteins for classification. |
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88 * **AMPvsUniProt** AMP consisting of the whole APD3 versus UniProt peptides randomly extracted from the UniProt database, to be used for classification. |
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89 * **ACPvsTMP** Anticancer Peptide (ACP) sequences from the CancerPPD database versus TM extracted from alpha-helical transmembrane regions of proteins for classification. |
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90 * **ACPvsRandom** ACP sequences from the CancerPPD database versus Random peptides generated randomly with the amino acid composition of AMPs. |
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91 * **query_apd** Retrive sequences from the antimicrobial peptide database APD. |
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92 * **query_camp** Retrive sequences from the antimicrobial peptide database CAMP. |
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93 |
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94 ----- |
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95 |
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96 **Inputs** |
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97 * **--DataBaseType** Takes dataset name as input. |
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98 |
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99 ----- |
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100 |
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101 **Outputs** |
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102 * Returns a tabular file with peptide sequences and class labels.]]></help> |
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103 |
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104 |
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105 <citations> |
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106 <citation type="bibtex"> |
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107 @misc{PDAUGGITHUB, |
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108 author = {Joshi, Jayadev and Blankenberg, Daniel}, |
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109 year = {2020}, |
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110 title ={PDAUG - a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling}, |
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111 publisher = {GitHub}, |
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112 journal = {GitHub repository}, |
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113 url = |
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114 {https://github.com/jaidevjoshi83/pdaug.git}, |
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115 } |
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116 </citation> |
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117 |
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118 <citation type="bibtex"> |
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119 @article{müller_gabernet_hiss_schneider_2017, |
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120 title={modlAMP: Python for antimicrobial peptides}, |
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121 volume={33}, |
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122 DOI={10.1093/bioinformatics/btx285}, |
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123 number={17}, |
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124 journal={Bioinformatics}, |
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125 author={Müller, Alex T and Gabernet, Gisela and Hiss, Jan A and Schneider, Gisbert}, |
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126 year={2017}, |
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127 pages={2753–2755} |
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128 } |
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129 </citation> |
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130 </citations> |
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131 </tool> |
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132 |
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133 |
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134 |