annotate ncbi_egapx.xml @ 6:3a8a37414e56 draft

planemo upload for repository https://github.com/richard-burhans/galaxytools/tree/main/tools/ncbi_egapx commit dd9fbbe3a5507753ed350e221632d49f0ad06799
author richard-burhans
date Wed, 11 Sep 2024 15:06:07 +0000
parents 539ea4dee35a
children 42734f3397cd
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1 <tool id="ncbi_egapx" name="NCBI EGAPx" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="@PROFILE@">
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2 <description>annotates eukaryotic genomes</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 <expand macro="edam_ontology"/>
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7 <expand macro="requirements"/>
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8 <command detect_errors="aggressive"><![CDATA[
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9 #if str($cond_input_style.input_style) == "history":
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10 #set yamlconfig = $yamlin
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11 #else:
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12 #set yamlconfig = "egapx.yaml"
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13 rm -rf '$yamlconfig' &&
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14 touch '$yamlconfig' &&
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15 echo '# yaml generated by ncbi_egapx.xml' >> '$yamlconfig' &&
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16 echo 'taxid: $taxid' >> '$yamlconfig' &&
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17 #if str($reference_genome.genome_type_select) == "indexed":
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18 echo 'genome: $reference_genome.genome.fields.path' >> '$yamlconfig' &&
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19 #elif str($reference_genome.genome_type_select) == "history"
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20 echo 'genome: $reference_genome.genome' >> '$yamlconfig' &&
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21 #else:
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22 echo 'genome: $reference_genome.uri' >> '$yamlconfig' &&
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23 #end if
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24 echo 'reads:' >> '$yamlconfig' &&
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25 #if str($condrnaseq.rna_type_select) == "history":
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26 #for $r in $rnaseq:
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27 echo ' - $r' >> '$yamlconfig' &&
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28 #end for
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29 #else:
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30 #set rs = $rnaseq.split()
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31 #set rsplit = [x.strip() for x in $rs]
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32 #for $r in $rsplit:
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33 echo ' - $r' >> '$yamlconfig' &&
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34 #end for
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35 #end if
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36 #if len($xtra.strip()) > 0:
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37 #set lxtra = $xtra.split("\n")
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38 #for row in $lxtra:
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39 echo '$row' >> '$yamlconfig' &&
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40 #end for
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41 #end if
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42 echo '' >> '$yamlconfig' &&
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43 echo "Calculated contents of egapx yaml" &&
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44 cat '$yamlconfig' &&
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45 #end if
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46 source /galaxy/env.bash &&
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47 echo \${PATH} &&
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48 ln -s /galaxy/egapx/egapx_config &&
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49 python3 /galaxy/egapx/ui/egapx.py '$yamlconfig' -e galaxy -o 'egapx_out'
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50 ]]></command>
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51 <inputs>
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52 <conditional name="cond_input_style">
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53 <param name="input_style" type="select" label="Fill in a tool form or use an existing yaml configuration from the current history?"
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54 help="Use a pre-prepared yaml if available. Use the tool form if history files are needed as rna-seq or reference genome inputs for this job">
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55 <option selected="True" value="history">Use a pre-prepared yaml egapx configuration</option>
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56 <option value="fillform">Provide configuration details for conversion into a configuration yaml</option>
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57 </param>
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58 <when value="history">
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59 <param name="yamlin" type="data" optional="false" label="egapx configuration yaml file to pass to Nextflow" help="" format="yaml,txt"/>
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60 </when>
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61 <when value="fillform">
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62 <param name="taxid" type="text" optional="false" label="NCBI Taxon ID" help="Used to identify the HMM model files needed"/>
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63 <conditional name="reference_genome">
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64 <param name="genome_type_select" type="select" label="Reference genome source for mapping supplied RNA-seq reads"
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65 help="Select a built in, history or remote URI for the reference genome fasta">
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66 <option value="indexed">Use a Galaxy server built-in genome</option>
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67 <option value="history" selected="True">Use a genome fasta file from the current history</option>
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68 <option value="uri">Provide a remote web link URI ("https://...") pointing at the required genome reference fasta file</option>
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69 </param>
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70 <when value="indexed">
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71 <param name="genome" type="select" optional="true" label="Select a built in reference genome or custom genome"
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72 help="If not listed, add a custom genome or use a reference genome from the history">
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73 <options from_data_table="all_fasta">
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74 <validator message="No genomes are available " type="no_options"/>
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75 </options>
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76 </param>
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77 </when>
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78 <when value="history">
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79 <param name="genome" type="data" optional="true" format="fasta" label="Select the reference genome fasta from the current history"/>
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80 </when>
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81 <when value="uri">
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82 <param name="uri" type="text" optional="false" label="URI pointing to the reference genome fasta file" help=""/>
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83 </when>
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84 </conditional>
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85 <conditional name="condrnaseq">
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86 <param name="rna_type_select" type="select" label="RNA sequence data source" help="Select RNAseq input data from history or input a list of SRA identifiers or remote URI">
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87 <option selected="True" value="list">Type in a list of SRA identifiers and/or remote RNA-seq fasta URI</option>
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88 <option value="history">Select one or more RNA-seq fastq datasets from the current history</option>
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89 </param>
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90 <when value="history">
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91 <param name="rnaseq" type="data" format="fastqsanger, fastqsanger.gz" optional="false" multiple="true"
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92 label="Select multiple RNA-seq fastqsanger inputs from the current history" help="All selected rna-seq fastqsanger will be added to the yaml for egapx configuration"/>
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93 </when>
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94 <when value="list">
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95 <param name="rnaseq" type="text" area="true" optional="false" label="List all required individual RNA-seq URI or SRA identifiers, separated by spaces or newlines"
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96 help="Either a working URI for a RNA-seq fasta, or a bare SRA identifier will work - can be mixed">
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97 <validator type="empty_field"/>
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98 </param>
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99 </when>
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100 </conditional>
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101 <param name="xtra" type="text" area="true" label="Additional yaml to append to the egapx.yaml configuration"
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102 help="Not normally needed but useful for testing additional configuration elements">
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103 <sanitizer invalid_char="">
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104 <valid initial="string.printable">
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105 </valid>
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106 </sanitizer>
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107 </param>
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108 </when>
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109 </conditional>
0
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110 </inputs>
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111 <outputs>
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112 <collection name="egapx_out" type="list" label="Outputs from egapx">
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113 <discover_datasets pattern="__name_and_ext__" directory="egapx_out" visible="false"/>
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114 </collection>
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115 </outputs>
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116 <tests>
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117 <test expect_test_failure="true">
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118 <param name="input_style" value="history"/>
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119 <param name="yamlin" value="input.yaml"/>
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120 <output_collection name="egapx_out" type="list" count="8"/>
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121 </test>
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122 <test expect_test_failure="true">
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123 <param name="input_style" value="fillform"/>
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124 <param name="taxid" value="6954"/>
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125 <param name="genome_type_select" value="uri"/>
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126 <param name="uri" value="https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/020/809/275/GCF_020809275.1_ASM2080927v1/GCF_020809275.1_ASM2080927v1_genomic.fna.gz"/>
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127 <param name="rna_type_select" value="list"/>
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128 <param name="rnaseq" value="https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/sample_data/Dermatophagoides_farinae_small/SRR8506572.1 https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/sample_data/Dermatophagoides_farinae_small/SRR8506572.2 https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/sample_data/Dermatophagoides_farinae_small/SRR9005248.1 https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/sample_data/Dermatophagoides_farinae_small/SRR9005248.2"/>
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129 <param name="xtra" value="proteins: []&#10;hmm: https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/gnomon/hmm_parameters/6956.params&#10;tasks:&#10; star_wnode:&#10; star_wnode: -cpus-per-worker 4"/>
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130 <output_collection name="egapx_out" type="list" count="8"/>
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131 </test>
0
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132 </tests>
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133 <help><![CDATA[
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134 Galaxy tool wrapping the Eukaryotic Genome Annotation Pipeline (EGAPx)
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135 =================================================================================================
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136
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137 .. class:: warningmark
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138
3
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139 **Proof of concept: a hack to run a NF workflow inside a specialised Galaxy tool wrapper**
0
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140
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141 EGAPx is a big, complicated Nextflow workflow, challenging and costly to re-implement **properly**, requiring dozens of new tools and replicating a lot of
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142 complicated *groovy* workflow logic.
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143
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144 It is also very new and in rapid development. Investing developer effort and keeping updated as EGAPx changes rapidly may be *inefficient of developer resources*.
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145
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146 This wrapper is designed to allow measuring how *inefficient* it is in terms of computing resource utilisation, in comparison to the developer effort
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147 required to convert Nextflow DDL into tools and WF logic. Balancing these competing requirements is a fundamental Galaxy challenge.
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148
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149
3
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150 EGAPx requires very substantial resources to run with real data. *132GB and 32 cores* are the minimum requirement; *256GB and 64 cores* are recommended.
0
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151
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152 A special minimal example that can be run in 6GB with 4 cores is provided as a yaml configuration and is used for the tool test.
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153
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154 In this implementation, the user must supply a yaml configuration file as initial proof of concept.
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155 History inputs and even a yaml editor might be provided in future.
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156
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157 The NF workflow to tool model tested here may be applicable to other NF workflows that take a single configuration yaml.
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158
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159 .. class:: warningmark
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160
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161 The computational resource cost of typing the wrong SRA identifiers into a tool form is potentially enormous with this tool!
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162
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163
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164 Sample yaml configurations
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165 ===========================
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166
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167 YAML sample configurations can be uploaded into your Galaxy history from the `EGAPx github repository <https://github.com/ncbi/egapx/tree/main/examples/>`_.
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168 The simplest possible example is shown below - can be cut/paste into a history dataset in the upload tool.
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169
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170
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171 *./examples/input_D_farinae_small.yaml* is shown below and can be cut and pasted into the upload form to create a yaml file.
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172 RNA-seq data is provided as URI to the reads FASTA files.
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173
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174 input_D_farinae_small.yaml
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175
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176 ::
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177
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178 genome: https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/020/809/275/GCF_020809275.1_ASM2080927v1/GCF_020809275.1_ASM2080927v1_genomic.fna.gz
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179 taxid: 6954
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180 reads:
1
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181 - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/sample_data/Dermatophagoides_farinae_small/SRR8506572.1
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182 - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/sample_data/Dermatophagoides_farinae_small/SRR8506572.2
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183 - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/sample_data/Dermatophagoides_farinae_small/SRR9005248.1
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184 - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/sample_data/Dermatophagoides_farinae_small/SRR9005248.2
0
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185
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186
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187 input_Gavia_stellata.yaml
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188
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189 ::
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190
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191 genome: https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/030/936/135/GCF_030936135.1_bGavSte3.hap2/GCF_030936135.1_bGavSte3.hap2_genomic.fna.gz
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192 reads: txid37040[Organism] AND biomol_transcript[properties] NOT SRS024887[Accession]
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193 taxid: 37040
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194
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195 input_C_longicornis.yaml
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197 ::
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198
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199 genome: https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/029//603/195/GCF_029603195.1_ASM2960319v2/GCF_029603195.1_ASM2960319v2_genomic.fna.gz
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200 reads: txid2530218[Organism] AND biomol_transcript[properties] NOT SRS024887[Accession]
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201 taxid: 2530218
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202
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203 Purpose
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204 ========
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205
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206 **This is not intended for production**
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207
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208 Just a proof of concept.
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209 It is possibly too inefficient to be useful although it may turn out not to be a problem if run on a dedicated workstation.
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210 At least the efficiency can now be more easily estimated.
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211
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212 This tool is not recommended for public deployment because of the resource demands.
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213
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214 EGAPx Overview
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215 ===============
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216
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217 .. image:: $PATH_TO_IMAGES/Pipeline_sm_ncRNA_CAGE_80pct.png
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218
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219 **Warning:**
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220 The current version is an alpha release with limited features and organism scope to collect initial feedback on execution. Outputs are not yet complete and not intended for production use. Please open a GitHub [Issue](https://github.com/ncbi/egapx/issues) if you encounter any problems with EGAPx. You can also write to cgr@nlm.nih.gov to give us your feedback or if you have any questions.
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221
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222 EGAPx is the publicly accessible version of the updated NCBI [Eukaryotic Genome Annotation Pipeline](https://www.ncbi.nlm.nih.gov/genome/annotation_euk/process/).
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223
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224 EGAPx takes an assembly fasta file, a taxid of the organism, and RNA-seq data. Based on the taxid, EGAPx will pick protein sets and HMM models. The pipeline runs `miniprot` to align protein sequences, and `STAR` to align RNA-seq to the assembly. Protein alignments and RNA-seq read alignments are then passed to `Gnomon` for gene prediction. In the first step of `Gnomon`, the short alignments are chained together into putative gene models.
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225 In the second step, these predictions are further supplemented by *ab-initio* predictions based on HMM models. The final annotation for the input assembly is produced as a `gff` file.
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226
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227 **Security Notice:**
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228
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229 EGAPx has dependencies in and outside of its execution path that include several thousand files from the [NCBI C++ toolkit](https://www.ncbi.nlm.nih.gov/toolkit), and more than a million total lines of code. Static Application Security Testing has shown a small number of verified buffer overrun security vulnerabilities. Users should consult with their organizational security team on risk and if there is concern, consider mitigating options like running via VM or cloud instance.
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230
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231
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232 *To specify an array of NCBI SRA datasets in yaml*
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234 ::
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235
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236 reads:
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237 - SRR8506572
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238 - SRR9005248
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239
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240
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241 *To specify an SRA entrez query*
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242
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243 ::
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244
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245 reads: 'txid6954[Organism] AND biomol_transcript[properties] NOT SRS024887[Accession] AND (SRR8506572[Accession] OR SRR9005248[Accession] )'
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246
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247
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248 **Note:** Both the above examples will have more RNA-seq data than the `input_D_farinae_small.yaml` example. To make sure the entrez query does not produce a large number of SRA runs, please run it first at the [NCBI SRA page](https://www.ncbi.nlm.nih.gov/sra). If there are too many SRA runs, then select a few of them and list it in the input yaml.
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249
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250 Output
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251 =======
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252
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253 EGAPx output will appear as a collection in the user history. The main annotation file is called *accept.gff*.
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254
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255 ::
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256
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257 accept.gff
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258 annot_builder_output
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259 nextflow.log
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260 run.report.html
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261 run.timeline.html
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262 run.trace.txt
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263 run_params.yaml
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264
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265
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266 The *nextflow.log* is the log file that captures all the process information and their work directories. ``run_params.yaml`` has all the parameters that were used in the EGAPx run. More information about the process time and resources can be found in the other run* files.
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267
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268 ## Intermediate files
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269
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270 In the log, each line denotes the process that completed in the workflow. The first column (_e.g._ `[96/621c4b]`) is the subdirectory where the intermediate output files and logs are found for the process in the same line, _i.e._, `egapx:miniprot:run_miniprot`. To see the intermediate files for that process, you can go to the work directory path that you had supplied and traverse to the subdirectory `96/621c4b`:
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271
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272 ::
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273
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274 $ aws s3 ls s3://temp_datapath/D_farinae/96/
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275 PRE 06834b76c8d7ceb8c97d2ccf75cda4/
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276 PRE 621c4ba4e6e87a4d869c696fe50034/
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277 $ aws s3 ls s3://temp_datapath/D_farinae/96/621c4ba4e6e87a4d869c696fe50034/
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278 PRE output/
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279 2024-03-27 11:19:18 0
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280 2024-03-27 11:19:28 6 .command.begin
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281 2024-03-27 11:20:24 762 .command.err
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282 2024-03-27 11:20:26 762 .command.log
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283 2024-03-27 11:20:23 0 .command.out
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284 2024-03-27 11:19:18 13103 .command.run
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285 2024-03-27 11:19:18 129 .command.sh
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286 2024-03-27 11:20:24 276 .command.trace
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287 2024-03-27 11:20:25 1 .exitcode
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288 $ aws s3 ls s3://temp_datapath/D_farinae/96/621c4ba4e6e87a4d869c696fe50034/output/
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289 2024-03-27 11:20:24 17127134 aligns.paf
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291
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292 ]]></help>
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293 <expand macro="citations"/>
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294 </tool>