# HG changeset patch
# User greg
# Date 1605344873 0
# Node ID 770834ba75e4a87b17f133fa942699cba5bc21c8
# Parent  ee4ef1fc23c6043269370c33234546f15b91ba7c
Uploaded

diff -r ee4ef1fc23c6 -r 770834ba75e4 vsnp_get_snps.xml
--- a/vsnp_get_snps.xml	Tue Apr 21 10:14:11 2020 -0400
+++ b/vsnp_get_snps.xml	Sat Nov 14 09:07:53 2020 +0000
@@ -21,20 +21,21 @@
     #set reference = $i.metadata.dbkey
     #set filename = $i.file_name
     #set name = $i.name
-    ln -s $filename $input_vcf_dir/$name &&
+    ln -s '$filename' '$input_vcf_dir/$name' &&
 #end for
 #if str($input_zc_vcf_type) == "single":
     #set input_zc_vcf = $input_zc_vcf_type_cond.input_zc_vcf
     #set file_name_base = $os.path.basename($input_zc_vcf.file_name)
-    ln -s $input_zc_vcf $input_vcf_dir/$file_name_base &&
+    ln -s '$input_zc_vcf' '$input_vcf_dir/$file_name_base' &&
 #else
     #for $i in $input_zc_vcf_type_cond.input_zc_vcf_collection:
         #set filename = $i.file_name
         #set name = $i.name
-        ln -s $filename $input_vcf_dir/$name &&
+        ln -s '$filename' '$input_vcf_dir/$name' &&
     #end for
 #end if
 #if str($excel_grouper_cond.excel_grouper) == "yes":
+    #set excel_file = 'No genome specified for input VCF (database) file(s)'
     #set excel_grouper_source = $excel_grouper_cond.excel_grouper_source_cond.excel_grouper_source
     #if str($excel_grouper_source) == "cached":
         #set excel_fields = $__app__.tool_data_tables['vsnp_excel'].get_fields()
@@ -49,7 +50,7 @@
     #end if
 #end if
 python '$__tool_directory__/vsnp_get_snps.py'
---processes $processes
+--processes \${GALAXY_SLOTS:-4}
 --reference '$reference'
 #if str($excel_grouper_cond.excel_grouper) == "yes":
     --excel_grouper_file '$excel_file'
@@ -109,17 +110,16 @@
             <option value="No" selected="true">No</option>
             <option value="Yes">Yes</option>
         </param>
-        <param name="processes" type="integer" min="1" max="20" value="8" label="Number of processes for job splitting"/>
     </inputs>
     <outputs>
         <collection name="snps" type="list" label="${tool.name} (SNPs) on ${on_string}">
-            <discover_datasets pattern="__name__" directory="output_snps_dir" format="fasta" />
+            <discover_datasets pattern="__name__" directory="output_snps_dir" format="fasta"/>
         </collection>
         <collection name="json_avg_mq" type="list" label="${tool.name} (average MQ) on ${on_string}">
-            <discover_datasets pattern="__name__" directory="output_json_avg_mq_dir" format="json" />
+            <discover_datasets pattern="__name__" directory="output_json_avg_mq_dir" format="json"/>
         </collection>
         <collection name="json_snps" type="list" label="${tool.name} (SNPs as json) on ${on_string}">
-            <discover_datasets pattern="__name__" directory="output_json_snps_dir" format="json" />
+            <discover_datasets pattern="__name__" directory="output_json_snps_dir" format="json"/>
         </collection>
         <data name="output_summary" format="html" label="${tool.name} (summary) on ${on_string}"/>
     </outputs>
@@ -163,7 +163,6 @@
 
  * **Use Excel file for grouping and filtering?** - select Yes to filter desired SNP positions by group.  A cached Excel spreadsheet provides the most widely used SNP positions for grouping, but a custom spreadhseet can be selected from the current history.
  * **Job Resource Parameters** - an administrator for the Galaxy instance must configure this tool to display this option, so it may not be available.  If it is, you can choose the number of processors to use for tool execution.
- * **Number of processes for job splitting** - Select the number of processes for splitting the job to shorten execution time.
 </help>
     <citations>
         <citation type="bibtex">