# HG changeset patch
# User immuneml
# Date 1641376382 0
# Node ID cd57c1c66f8b1c1a215d9b53b9fd92c4f168c9e1
# Parent  e33b3d3701242ba904f57fc2a718e798d2a23d94
"planemo upload commit 60f280176ecdc2883fc7e85deb9aaa151f7c2088"

diff -r e33b3d370124 -r cd57c1c66f8b immuneml_simulate_events.xml
--- a/immuneml_simulate_events.xml	Tue Jan 04 12:57:42 2022 +0000
+++ b/immuneml_simulate_events.xml	Wed Jan 05 09:53:02 2022 +0000
@@ -21,7 +21,7 @@
       ]]>
   </command>
   <inputs>
-      <param name="iml_input" type="data" format="immuneml_receptors" label="Dataset input" optional="true" help="This field accepts datasets ithe ImmuneML format, as created by the Create Dataset tool."/>
+      <param name="iml_input" type="data" format="immuneml_receptors" label="immuneML dataset" optional="true" help="This field accepts datasets in the ImmuneML format, as created by the Create Dataset tool."/>
       <param name="yaml_input" type="data" format="txt" label="YAML specification" multiple="false"/>
   </inputs>
     <outputs>
diff -r e33b3d370124 -r cd57c1c66f8b immuneml_train_ml_model.xml
--- a/immuneml_train_ml_model.xml	Tue Jan 04 12:57:42 2022 +0000
+++ b/immuneml_train_ml_model.xml	Wed Jan 05 09:53:02 2022 +0000
@@ -28,7 +28,7 @@
       ]]>
   </command>
   <inputs>
-      <param name="iml_input" type="data" format="immuneml_receptors" label="Dataset input" optional="true" help="This field accepts an ImmuneML dataset, as created by the Create Dataset tool."/>
+      <param name="iml_input" type="data" format="immuneml_receptors" label="immuneML dataset" optional="true" help="This field accepts an ImmuneML dataset, as created by the Create Dataset tool."/>
       <param name="yaml_input" type="data" format="txt" label="YAML specification" multiple="false"/>
       <param name="data_input" type="data" multiple="true" label="Additional files" optional="true" help="This field should include individual repertoire files, metadata files, receptor data and others."/>
   </inputs>
diff -r e33b3d370124 -r cd57c1c66f8b immuneml_train_recept.xml
--- a/immuneml_train_recept.xml	Tue Jan 04 12:57:42 2022 +0000
+++ b/immuneml_train_recept.xml	Wed Jan 05 09:53:02 2022 +0000
@@ -50,7 +50,7 @@
       ]]>
 </command>
     <inputs>
-        <param name="iml_input" type="data" format="immuneml_receptors" label="Input dataset (immune receptors)" help="This field accepts receptor datasets in the ImmuneML dataset format, as created by the Create Dataset tool."/>
+        <param name="iml_input" type="data" format="immuneml_receptors" label="immuneML dataset (immune receptors)" help="This field accepts receptor datasets in the ImmuneML dataset format, as created by the Create Dataset tool."/>
         <param type="text" name="labels" optional="false" label="Which property (“label”) of the receptors would you like to predict?" help="A receptor property to predict could for example be the epitope it binds to. Such properties must be present as receptor sequence metadata. For example, when using data in VDJdb format, the default fields are named ‘epitope’, ‘epitope_gene’ and ‘epitope_species’. One of these labels must be chosen here."/>
 
         <conditional name="gap_cond">
diff -r e33b3d370124 -r cd57c1c66f8b immuneml_train_repert.xml
--- a/immuneml_train_repert.xml	Tue Jan 04 12:57:42 2022 +0000
+++ b/immuneml_train_repert.xml	Wed Jan 05 09:53:02 2022 +0000
@@ -57,7 +57,7 @@
       ]]>
 </command>
     <inputs>
-        <param name="iml_input" type="data" format="immuneml_receptors"  label="Input dataset (immune repertoires)" help="Here you can select an ImmuneML dataset containing a repertoire dataset, as produced by the ‘Create dataset’ tool. Please make sure your dataset contains enough repertoires, we recommend using at least 50. The minimum number of repertoires needed to run this tool successfully is 14 (for example: 7 diseased and 7 healthy). More repertoires are needed if your dataset is imbalanced (many more diseased or many more healthy), or if you decrease the percentage of data that is used for training. "/>
+        <param name="iml_input" type="data" format="immuneml_receptors"  label="immuneML dataset (immune repertoires)" help="Here you can select an ImmuneML dataset containing a repertoire dataset, as produced by the ‘Create dataset’ tool. Please make sure your dataset contains enough repertoires, we recommend using at least 50. The minimum number of repertoires needed to run this tool successfully is 14 (for example: 7 diseased and 7 healthy). More repertoires are needed if your dataset is imbalanced (many more diseased or many more healthy), or if you decrease the percentage of data that is used for training. "/>
         <param type="text" name="labels" optional="false" label="Which property (“label”) of the repertoires would you like to predict?" help="Repertoire property to predict could for example be a disease status. This property must be present as a label in the repertoire metadata."/>
 
         <conditional name="sequence_cond">
diff -r e33b3d370124 -r cd57c1c66f8b immuneml_yaml.xml
--- a/immuneml_yaml.xml	Tue Jan 04 12:57:42 2022 +0000
+++ b/immuneml_yaml.xml	Wed Jan 05 09:53:02 2022 +0000
@@ -28,7 +28,7 @@
       ]]>
   </command>
   <inputs>
-      <param name="iml_input" type="data"  format="immuneml_receptors" label="ImmuneML dataset" optional="true" help="This field accepts ImmuneML datasets, as created by the Create Dataset tool."/>
+      <param name="iml_input" type="data"  format="immuneml_receptors" label="immuneML dataset" optional="true" help="This field accepts ImmuneML datasets, as created by the Create Dataset tool."/>
       <param name="yaml_input" type="data" format="txt" label="YAML specification" multiple="false"/>
       <param name="data_input" type="data" multiple="true" label="Additional files" optional="true" help="This field should include individual repertoire files, metadata files, receptor data and others."/>
   </inputs>