diff qiime2/qiime_gneiss_correlation-clustering.xml @ 14:a0a8d77a991c draft

Uploaded

--- a/qiime2/qiime_gneiss_correlation-clustering.xml	Thu Sep 03 09:46:00 2020 +0000
+++ b/qiime2/qiime_gneiss_correlation-clustering.xml	Thu Sep 03 09:51:29 2020 +0000
@@ -1,32 +1,42 @@
 <?xml version="1.0" ?>
-<tool id="qiime_gneiss_correlation-clustering" name="qiime gneiss correlation-clustering" version="2019.7">
-	<description> - Hierarchical clustering using feature correlation.</description>
-	<requirements>
-		<requirement type="package" version="2019.7">qiime2</requirement>
-	</requirements>
-	<command><![CDATA[
+<tool id="qiime_gneiss_correlation-clustering" name="qiime gneiss correlation-clustering"
+      version="2020.8">
+  <description>Hierarchical clustering using feature correlation.</description>
+  <requirements>
+    <requirement type="package" version="2020.8">qiime2</requirement>
+  </requirements>
+  <command><![CDATA[
 qiime gneiss correlation-clustering
 
 --i-table=$itable
 
-#if $ppseudocount:
- --p-pseudocount=$ppseudocount
+--p-pseudocount=$ppseudocount
+
+--o-clustering=oclustering
+
+#if str($examples) != 'None':
+--examples=$examples
 #end if
 
---o-clustering=oclustering
 ;
 cp oclustering.qza $oclustering
-	]]></command>
-	<inputs>
-		<param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[Frequency] The feature table containing the samples in which the columns will be clustered.            [required]" name="itable" optional="False" type="data"/>
-		<param label="--p-pseudocount: NUMBER  The value to add to zero counts in the feature table.                                [default: 0.5]" name="ppseudocount" optional="True" type="float" value="0.5"/>
-	</inputs>
-	<outputs>
-		<data format="qza" label="${tool.name} on ${on_string}: clustering.qza" name="oclustering"/>
-	</outputs>
-	<help><![CDATA[
+
+  ]]></command>
+  <inputs>
+    <param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[Frequency] The feature table containing the samples in which the columns will be clustered.            [required]" name="itable" optional="False" type="data" />
+    <param label="--p-pseudocount: NUMBER  The value to add to zero counts in the feature table.                                [default: 0.5]" name="ppseudocount" optional="True" type="float" value="0.5" />
+    <param label="--examples: Show usage examples and exit." name="examples" optional="False" type="data" />
+    
+  </inputs>
+
+  <outputs>
+    <data format="qza" label="${tool.name} on ${on_string}: clustering.qza" name="oclustering" />
+    
+  </outputs>
+
+  <help><![CDATA[
 Hierarchical clustering using feature correlation.
-##################################################
+###############################################################
 
 Build a bifurcating tree that represents a hierarchical clustering of
 features.  The hiearchical clustering uses Ward hierarchical clustering
@@ -47,9 +57,9 @@
     feature identifiers in the table. This tree can contain tip ids that
     are not present in the table, but all feature ids in the table must be
     present in this tree.
-	]]></help>
-<macros>
+  ]]></help>
+  <macros>
     <import>qiime_citation.xml</import>
-</macros>
-<expand macro="qiime_citation"/>
-</tool>
+  </macros>
+  <expand macro="qiime_citation"/>
+</tool>
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