diff virhunter.xml @ 2:ea2cccb9f73e draft

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/VirHunter commit c3685ed6a70b47012b62b95a2a3db062bd3b7475

--- a/virhunter.xml	Wed Nov 30 17:31:52 2022 +0000
+++ b/virhunter.xml	Thu Jan 05 14:27:54 2023 +0000
@@ -1,6 +1,6 @@
 <tool id="virhunter" name="virhunter" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="20.05">
     <description>
-        Deep learning method to identify viruses in sequencing datasets..
+        Deep learning method to identify viruses in sequencing datasets
     </description>
     <macros>
         <import>macros.xml</import>
@@ -24,7 +24,7 @@
 
     ]]></command>
     <inputs>
-        <param name="fasta_file" type="data" format="fasta" label="DNA FASTA file(s)"/>
+        <param name="fasta_file" type="data" format="fasta" label="DNA FASTA file"/>
         <param name="weights" type="select" label="Select a reference model" help="If your model of interest is not listed, contact the Galaxy team">
             <options from_data_table="virhunter_models">
                 <validator type="no_options" message="No models are available for the selected input dataset" />
@@ -49,7 +49,8 @@
 
     <help>
     <![CDATA[
-    VirHunter is a deep learning method that uses Convolutional Neural Networks (CNNs) and a Random Forest Classifier to identify viruses in sequening datasets. More precisely, VirHunter classifies previously assembled contigs as viral, host and bacterial (contamination).
+    VirHunter is a tool that uses deep learning to identify viruses in plant virome sequencing datasets.
+    In particular, VirHunter classifies previously assembled contigs into virus, host and bacteria classes.
  ]]></help>
     <expand macro="citations" />
 </tool>
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