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author galaxytrakr
date Thu, 30 Apr 2026 02:19:18 +0000
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1 <tool id="plasmidtrakr" name="PlasmidTrakr" version="0.1.12">
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2 <description>Predicts isolate source from plasmid profiles using a trained machine learning model</description>
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4 <requirements>
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5 <requirement type="package" version="2.3.3">pandas</requirement>
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6 <requirement type="package" version="1.6.1">scikit-learn</requirement>
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7 </requirements>
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8
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9 <command detect_errors="exit_code"><![CDATA[
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10 python $__tool_directory__/predict_source.py
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11 -i $mash_input
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12 -b $model_selection.fields.path
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13 -t $threshold
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14 -o $prediction_output
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15 ]]></command>
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16
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17 <inputs>
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18 <param name="mash_input" type="data" format="tabular" label="Mash Screen Output" help="The tabular output file from the Galaxy 'mash screen' tool."/>
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20 <param name="model_selection" type="select" label="Select Prediction Model" help="Choose which trained model to use for prediction.">
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21 <options from_data_table="plasmidtrakr_models">
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22 <validator type="no_options" message="No prediction models are configured. Please contact your Galaxy administrator." />
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23 </options>
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24 </param>
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26 <param name="threshold" type="float" value="0.95" label="Mash Identity Threshold" help="Filter plasmid hits below this identity. Must match the threshold used for model training."/>
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27 </inputs>
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29 <outputs>
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30 <data name="prediction_output" format="tabular" label="Prediction for ${on_string}" />
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31 </outputs>
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32
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33 <help><![CDATA[
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34 **What it does**
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35
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36 This tool takes the list of plasmid hits from the Galaxy **mash screen** tool and uses a pre-trained **machine learning model** to predict the original source of the isolate.
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37
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38 **Workflow for Genome Assemblies**
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39
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40 1. Go to the **mash screen** tool in Galaxy.
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41 2. In the **"Single or Paired-end reads"** dropdown, select **"Single"**.
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42 3. For the **"Select fastq dataset"** input, provide your **genome assembly FASTA file**.
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43 4. Run the `mash screen` job against the appropriate plasmid database.
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44 5. Use the tabular output from that job as the input for **this prediction tool**.
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45 6. Select the desired prediction model from the dropdown menu.
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46 7. Execute to get your prediction.
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47
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48 **Output**
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49
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50 A tabular file containing the isolate ID, the predicted source, and a confidence score.
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51 ]]></help>
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52
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53 <citations>
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54 <citation type="bibtex">
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55 @misc{strain_2026_plasmidtrakr,
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56 author = {Strain, Errol},
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57 title = {PlasmidTrakr: A tool for predicting isolate source from plasmid profiles},
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58 year = {2026},
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59 publisher = {GitHub},
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60 journal = {GitHub repository},
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61 howpublished = {\url{https://github.com/estrain/plasmidtrakr}}
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62 }
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63 </citation>
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64 </citations>
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65 </tool>