annotate mitokmer.xml @ 0:adc887a1a6de draft

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author galaxytrakr
date Fri, 11 Sep 2026 21:58:43 +0000
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1 <tool id="mitokmer" name="mitoKmer" version="2.0+galaxy0.1" python_template_version="3.5" profile="21.05">
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2 <description>Identify metagenomic mitochondrial reads by k-mer database matching</description>
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3 <requirements>
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4 <container type="docker">quay.io/galaxytrakr/mitokmer2:latest</container>
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5 </requirements>
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6
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7 <command detect_errors="exit_code"><![CDATA[
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8 ## ── kmerread expects files at specific relative paths ─────────────────
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9 ## ./mitoch/mitoch_probes.txt.gz - probe database
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10 ## ./jobs1/jobs1.txt - jobs file listing sample reads
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11 ## It is invoked with no arguments: ./kmerread
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12 mkdir -p ./mitoch ./jobs1 ./reads &&
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13
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14 ## ── Link probe database to the path kmerread expects ─────────────────
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15 ln -sf '${probe_db.fields.path}' ./mitoch/mitoch_probes.txt.gz &&
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16
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17 ## ── Stage input reads ─────────────────────────────────────────────────
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18 #for read in $reads
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19 ln -sf '${read}' ./reads/${read.element_identifier.replace(' ', '_')} &&
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20 #end for
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21
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22 ## ── Write the jobs file in the format kmerread expects ───────────────
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23 ## Line 1: <sample_name> <number_of_files>
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24 ## Lines 2+: absolute path to each read file, one per line
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25 #set sample_name = $reads[0].element_identifier.replace(' ', '_').split('_')[:-1] | join('_')
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26 echo "${sample_name} ${reads|length}" > ./jobs1/jobs1.txt &&
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27 #for read in $reads
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28 echo "\$PWD/reads/${read.element_identifier.replace(' ', '_')}" >> ./jobs1/jobs1.txt &&
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29 #end for
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30
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31 ## ── Run kmerread (reads jobs1/jobs1.txt and mitoch/mitoch_probes.txt.gz
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32 ## by convention; no CLI arguments) ──────────────────────────────────
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33 kmerread &&
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34
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35 ## ── Summarise results into CSV ────────────────────────────────────────
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36 python3 /opt/mitokmer2/kmer_read_m7.py
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37 -i ./jobs1
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38 -o '${results_csv}'
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39 ]]></command>
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40
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41 <inputs>
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42 <!-- Probe database selected from Galaxy data table -->
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43 <param name="probe_db"
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44 type="select"
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45 label="Mitochondrial k-mer probe database"
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46 help="Select a pre-installed mitochondrial k-mer probe database.
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47 Databases are managed by your Galaxy administrator via the
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48 mitokmer_probe_db data table.">
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49 <options from_data_table="mitokmer_probe_db">
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50 <filter type="sort_by" column="1" />
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51 <validator type="no_options"
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52 message="No mitochondrial k-mer probe databases are
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53 currently installed. Please contact your
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54 Galaxy administrator." />
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55 </options>
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56 </param>
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57
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58 <!-- One or more FASTQ/FASTA files for a single sample -->
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59 <param name="reads"
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60 type="data_collection"
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61 collection_type="list"
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62 format="fastq,fastq.gz,fasta,fasta.gz"
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63 label="Input reads (FASTQ or FASTA, gzipped or plain)"
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64 help="Provide one or more read files for a single sample as a Galaxy
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65 list collection. Paired-end files (R1 + R2) should both be
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66 included in the same collection. Light quality trimming of
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67 read ends is performed internally; pre-trimming is optional." />
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68 </inputs>
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69
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70 <outputs>
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71 <data name="results_csv"
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72 format="csv"
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73 label="mitoKmer results for ${on_string}" />
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74 </outputs>
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75
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76 <tests>
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77 <test>
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78 <param name="probe_db" value="mitoch_probes_sample" />
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79 <param name="reads">
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80 <collection type="list">
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81 <element name="Plodia_R1" value="test/Plodia_R1.fastq.gz" />
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82 <element name="Plodia_R2" value="test/Plodia_R2.fastq.gz" />
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83 </collection>
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84 </param>
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85 <output name="results_csv">
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86 <assert_contents>
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87 <has_text text="Plodia" />
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88 </assert_contents>
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89 </output>
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90 </test>
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91 </tests>
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92
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93 <help><![CDATA[
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94 **mitoKmer** — Metagenomic Mitochondrial Read Identification by K-mer Database
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95 ===============================================================================
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96
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97 Overview
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98 --------
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99 mitoKmer identifies the taxonomic origin of short-read shotgun sequencing data
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100 by matching reads against a database of species-specific mitochondrial k-mer
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101 probes. It reports the relative abundance of taxa at multiple taxonomic ranks
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102 (e.g. order, species) along with the number of matching reads and supporting
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103 unique k-mers.
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104
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105 Inputs
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106 ------
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107 **Mitochondrial k-mer probe database**
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108 Select a pre-installed probe database from the dropdown. Databases are
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109 managed by your Galaxy administrator and registered in the
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110 ``mitokmer_probe_db`` data table.
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111
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112 **Input reads**
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113 One or more FASTQ or FASTA files (gzipped or plain) for a single sample,
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114 supplied as a Galaxy list collection. Both paired-end files (R1 and R2)
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115 should be included in the same collection.
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116
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117 * Pre-trimming is optional — the tool performs simple window-based quality
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118 trimming of read ends internally.
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119
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120 Output
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121 ------
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122 **Results CSV**
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123 A comma-separated file summarising the relative abundance of each taxon
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124 detected in the sample. Columns include taxon name, taxonomic rank, number
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125 of reads assigned, relative abundance (%), and the number of unique k-mers
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126 supporting the assignment.
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127
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128 Example output for the "Plodia" test sample::
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129
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130 Rank Taxon Reads Rel_Abund(%) Unique_kmers
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131 Order Lepidoptera 10 0.1 329
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132 Species Plodia interpunctella 462 99.9 466
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133
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134 Citation
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135 --------
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136 Please cite the mitoKmer GitHub repository if you use this tool in published work.
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137 ]]></help>
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138
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139 <citations>
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140 <citation type="bibtex">
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141 @misc{githubmitokmer2,
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142 author = {Mammel, Mark},
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143 title = {mitoKmer2},
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144 year = {2024},
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145 publisher = {GitHub},
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146 journal = {GitHub repository},
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147 url = {https://github.com/mmammel8/mitokmer2},
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148 }
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149 </citation>
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150 </citations>
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151 </tool>