---
layout: default
navsection: userguide
title: "Running a pipeline using Workbench"
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# Go to "Collections":https://{{ site.arvados_workbench_host }}/collections (*Data* %(rarr)→% *Collections (data files)*).
# On the Collections page, go to the search box and search for "tutorial".
# The results should include a collection with the contents *var-GS000016015-ASM.tsv.bz2*.
# Click on the check box to the left of *var-GS000016015-ASM.tsv.bz2*. This puts the collection in your persistent selection list. You can click on the paperclip in the upper right to review your current selections.
# Go to "Pipeline templates":https://{{ site.arvados_workbench_host }}/pipeline_templates (*Compute* %(rarr)→% *Pipeline templates*).
# Look for a pipeline named *Tutorial pipeline*.
# Click on the play button to the left of *Tutorial pipeline*. This will take you to a new page to configure the pipeline.
# Under the *parameter* column, look for *input*. Set the value of *input* by clicking on *none* to get a selection popup. The collection that you selected in step 4 will be at the top of that pulldown menu. Select that collection in the pulldown menu.
# You can now click on the *Run pipeline* button in the upper right to start the pipeline. A new page shows the pipeline status, queued to run.
# The page refreshes automatically every 15 seconds. You should see the pipeline running, and then finish successfully.
# Once the pipeline is finished, click on the link under the *output* column. This will take you to the collection page for the output of this pipeline.
# Click on *md5sum.txt* to see the actual file that is the output of this pipeline.
# Go back to the collection page for the result. Click on the *Provenance graph* tab to see a graph illustrating the collections and scripts that were used to generate this file.
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