X-Git-Url: https://git.arvados.org/arvados.git/blobdiff_plain/ae4948ee3a6e2d55a44a31272d1f67b669b0345f..3101fea587bc08e0f4f00a583d1d9e2c953417c1:/doc/user/tutorials/tutorial-pipeline-workbench.html.textile.liquid?ds=sidebyside
diff --git a/doc/user/tutorials/tutorial-pipeline-workbench.html.textile.liquid b/doc/user/tutorials/tutorial-pipeline-workbench.html.textile.liquid
index 9373c9bb24..8dad6ab25e 100644
--- a/doc/user/tutorials/tutorial-pipeline-workbench.html.textile.liquid
+++ b/doc/user/tutorials/tutorial-pipeline-workbench.html.textile.liquid
@@ -17,12 +17,12 @@ notextile.
# Start from the *Workbench Dashboard*. You can access the Dashboard by clicking on * Dashboard* in the upper left corner of any Workbench page.
# Click on the Run a pipeline... button. This will open a dialog box titled *Choose a pipeline to run*.
# Click to open the *All projects * menu. Under the *Projects shared with me* header, select * Arvados Tutorial*.
-# Select * Tutorial align using bwa mem* and click the Next: choose inputs button. This will load a new page where you will supply the inputs for the pipeline.
+# Select * Tutorial align using bwa mem* and click the Next: choose inputs button. This will create a new pipeline in your *Home* project and will open it. You can now supply the inputs for the pipeline.
# The first input parameter to the pipeline is *Reference genoma (fasta)*. Click the Choose button beneath that header. This will open a dialog box titled *Choose a dataset for Reference genome (fasta)*.
# Once again, open the *All projects * menu and select * Arvados Tutorial*. Select * Tutorial chromosome 19 reference* and click the OK button.
# Repeat the previous two steps to set the *Input genome (fastq)* parameter to * Tutorial sample exome*.
# Click on the Run button. The page updates to show you that the pipeline has been submitted to run on the Arvados cluster.
-# After the pipeline starts running, you can track the progress by watching log messages from jobs. This page refreshes automatically. You will see a success label under the *job* the column when the pipeline completes successfully.
+# After the pipeline starts running, you can track the progress by watching log messages from jobs. This page refreshes automatically. You will see a complete label under the *job* column when the pipeline completes successfully.
# Click on the *Output* link to see the results of the job. This will load a new page listing the output files from this pipeline. You'll see the output SAM file from the alignment tool under the *Files* tab.
# Click on the download button to the right of the SAM file to download your results.