DockerRequirement:
dockerPull: quay.io/biocontainers/bwa:0.7.17--ha92aebf_3
-baseCommand: [mem]
+baseCommand: [bwa, mem]
arguments:
- {prefix: "-t", valueFrom: $(runtime.cores)}
- - {prefix: "-R", valueFrom: "@RG\tID:$(inputs.group_id)\tPL:$(inputs.PL)\tSM:$(inputs.sample_id)"}
+ - {prefix: "-R", valueFrom: '@RG\\\tID:$(inputs.group_id)\\\tPL:$(inputs.PL)\\\tSM:$(inputs.sample_id)'}
inputs:
reference:
You will be asked to log in. Arvados uses only your name and email address for identification, and will never access any personal information. If you are accessing Arvados for the first time, the Workbench may indicate your account status is *New / inactive*. If this is the case, contact the administrator of the Arvados instance to request activation of your account.
-Once your account is active, logging in to the Workbench will present you with the Dashboard. This gives a summary of your projects and recent activity in the Arvados instance. "You are now ready to run your first pipeline.":{{ site.baseurl }}/user/tutorials/tutorial-workflow-workbench.html
+Once your account is active, logging in to the Workbench will present you with the Dashboard. This gives a summary of your projects and recent activity in the Arvados instance. You are now ready to "upload data":{{ site.baseurl }}/user/tutorials/tutorial-keep.html or "run your first pipeline.":{{ site.baseurl }}/user/tutorials/tutorial-workflow-workbench.html
!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/workbench-dashboard.png!
SPDX-License-Identifier: CC-BY-SA-3.0
{% endcomment %}
-This guide provides a reference for using Arvados to solve scientific big data problems, including:
+Arvados is an open source platform for managing, processing, and sharing genomic and other large scientific and biomedical data. This guide provides a reference for using Arvados to solve scientific big data problems, including:
* Robust storage of very large files, such as whole genome sequences, using the "Arvados Keep":{{site.baseurl}}/user/tutorials/tutorial-keep.html content-addressable cluster file system.
* Running compute-intensive scientific analysis pipelines, such as genomic alignment and variant calls using the "Arvados Crunch":{{site.baseurl}}/user/tutorials/intro-crunch.html cluster compute engine.
@arv-copy@ allows users to copy collections and workflows from one cluster to another. By default, @arv-copy@ will recursively go through the workflow and copy all dependencies associated with the object.
-For example, let's copy from the <a href="https://playground.arvados.org/">Arvados playground</a>, also known as *pirca*, to *dstcl*. The names *pirca* and *dstcl* are interchangable with any cluster id. You can find the cluster name from the prefix of the uuid of the object you want to copy. For example, in *zzzzz*-4zz18-tci4vn4fa95w0zx, the cluster name is zzzzz.
+For example, let's copy from the <a href="https://playground.arvados.org/">Arvados playground</a>, also known as *pirca*, to *dstcl*. The names *pirca* and *dstcl* are interchangable with any cluster id. You can find the cluster name from the prefix of the uuid of the object you want to copy. For example, in *zzzzz*-4zz18-tci4vn4fa95w0zx, the cluster name is *zzzzz* .
-In order to communicate with both clusters, you must create custom configuration files for each cluster. In the Arvados Workbench, click on the dropdown menu icon <span class="fa fa-lg fa-user"></span> <span class="caret"></span> in the upper right corner of the top navigation menu to access the user settings menu, and click on the menu item *Current token*. Copy the @ARVADOS_API_HOST@ and @ARVADOS_API_TOKEN@ in both of your clusters. Then, create two configuration files, one for each cluster. The names of the files must have the format of *ClusterID.conf*. In our example, let's make two files, one for *pirca* and one for *dstcl*. From your *Current token* page in *pirca* and *dstcl*, copy the @ARVADOS_API_HOST@ and @ARVADOS_API_TOKEN@.
+In order to communicate with both clusters, you must create custom configuration files for each cluster. In the Arvados Workbench, click on the dropdown menu icon <span class="fa fa-lg fa-user"></span> <span class="caret"></span> in the upper right corner of the top navigation menu to access the user settings menu, and click on the menu item *Current token*. Copy the @ARVADOS_API_HOST@ and @ARVADOS_API_TOKEN@ in both of your clusters. Then, create two configuration files in @~/.config/arvados@, one for each cluster. The names of the files must have the format of *ClusterID.conf*. Navigate to the *Current token* page on each of *pirca* and *dstcl* to get the @ARVADOS_API_HOST@ and @ARVADOS_API_TOKEN@.
!{display: block;margin-left: 25px;margin-right: auto;}{{ site.baseurl }}/images/api-token-host.png!
-Copy your @ARVADOS_API_HOST@ and @ARVADOS_API_TOKEN@ into the config files as shown below in the shell account from which you are executing the commands. For example, the default shell you may have access to is shell.pirca. You can add these files in ~/.config/arvados/ in the pirca shell terminal.
+The config file consists of two lines, one for ARVADOS_API_HOST and one for ARVADOS_API_TOKEN:
-<notextile>
-<pre><code>~$ <span class="userinput">cd ~/.config/arvados</span>
-~$ <span class="userinput">echo "ARVADOS_API_HOST=pirca.arvadosapi.com" >> pirca.conf</span>
-~$ <span class="userinput">echo "ARVADOS_API_TOKEN=123456789abcdefghijkl" >> pirca.conf</span>
-~$ <span class="userinput">echo "ARVADOS_API_HOST=dstcl.arvadosapi.com" >> dstcl.conf</span>
-~$ <span class="userinput">echo "ARVADOS_API_TOKEN=987654321lkjihgfedcba" >> dstcl.conf</span>
-</code></pre>
-</notextile>
+<pre>
+ARVADOS_API_HOST=zzzzz.arvadosapi.com
+ARVADOS_API_TOKEN=v2/zzzzz-gj3su-xxxxxxxxxxxxxxx/123456789abcdefghijkl
+</pre>
+
+Copy your @ARVADOS_API_HOST@ and @ARVADOS_API_TOKEN@ into the config files as shown below in the shell account from which you are executing the commands. In our example, you need two files, @~/.config/arvados/pirca.conf@ and @~/.config/arvados/dstcl.conf@.
Now you're ready to copy between *pirca* and *dstcl*!
h3. How to copy a collection
-First, select the uuid of the collection you want to copy from the source cluster. The uuid can be found in the collection display page in the collection summary area (top left box), or from the URL bar (the part after @collections/...@)
+First, determine the uuid or portable data hash of the collection you want to copy from the source cluster. The uuid can be found in the collection display page in the collection summary area (top left box), or from the URL bar (the part after @collections/...@)
+
+Now copy the collection from *pirca* to *dstcl*. We will use the uuid @jutro-4zz18-tv416l321i4r01e@ as an example. You can find this collection on <a href="https://playground.arvados.org/collections/jutro-4zz18-tv416l321i4r01e">playground.arvados.org</a>.
+<notextile>
+<pre><code>~$ <span class="userinput">arv-copy --src pirca --dst dstcl jutro-4zz18-tv416l321i4r01e</span>
+jutro-4zz18-tv416l321i4r01e: 6.1M / 6.1M 100.0%
+arvados.arv-copy[1234] INFO: Success: created copy with uuid dstcl-4zz18-xxxxxxxxxxxxxxx
+</code></pre>
+</notextile>
+
+You can also copy by content address:
-Now copy the collection from *pirca* to *dstcl*. We will use the uuid @pirca-4zz18-jyjuzyqq14qspl7@ as an example. You can find this collection in the <a href="https://playground.arvados.org/collections/pirca-4zz18-jyjuzyqq14qspl7">User guide resources project on playground.arvados.org</a>.
<notextile>
-<pre><code>~$ <span class="userinput">arv-copy --src pirca --dst dstcl pirca-4zz18-jyjuzyqq14qspl7</span>
-pirca-4zz18-tci4vn4fa95w0zx: 6.1M / 6.1M 100.0%
-arvados.arv-copy[1234] INFO: Success: created copy with uuid dstcl-4zz18-8765943210cdbae
+<pre><code>~$ <span class="userinput">arv-copy --src pirca --dst dstcl 2463fa9efeb75e099685528b3b9071e0+438</span>
+2463fa9efeb75e099685528b3b9071e0+438: 6.1M / 6.1M 100.0%
+arvados.arv-copy[1234] INFO: Success: created copy with uuid dstcl-4zz18-xxxxxxxxxxxxxxx
</code></pre>
</notextile>
-The output of arv-copy displays the uuid of the collection generated in the destination cluster. By default, the output is placed in your home project in the destination cluster. If you want to place your collection in a pre-created project, you can specify the project you want it to be in using the tag @--project-uuid@ followed by the project uuid.
+The output of arv-copy displays the uuid of the collection generated in the destination cluster. By default, the output is placed in your home project in the destination cluster. If you want to place your collection in an existing project, you can specify the project you want it to be in using the tag @--project-uuid@ followed by the project uuid.
For example, this will copy the collection to project dstcl-j7d0g-a894213ukjhal12 in the destination cluster.
-<notextile> <pre><code>~$ <span class="userinput">arv-copy --src pirca --dst dstcl --project-uuid dstcl-j7d0g-a894213ukjhal12 pirca-4zz18-tci4vn4fa95w0zx</span>
+<notextile> <pre><code>~$ <span class="userinput">arv-copy --src pirca --dst dstcl --project-uuid dstcl-j7d0g-a894213ukjhal12 jutro-4zz18-tv416l321i4r01e
</code></pre>
</notextile>
h3. How to copy a workflow
-We will use the uuid @pirca-7fd4e-sampleworkflow1@ as an example workflow.
+We will use the uuid @jutro-7fd4e-mkmmq53m1ze6apx@ as an example workflow.
<notextile>
-<pre><code>~$ <span class="userinput">arv-copy --src pirca --dst dstcl --dst-git-repo $USER/tutorial pirca-7fd4e-sampleworkflow1</span>
-pirca-4zz18-jidprdejysravcr: 1143M / 1143M 100.0%
-2017-01-04 04:11:58 arvados.arv-copy[5906] INFO:
-2017-01-04 04:11:58 arvados.arv-copy[5906] INFO: Success: created copy with uuid dstcl-7fd4e-ojtgpne594ubkt7
+<pre><code>~$ <span class="userinput">arv-copy --src jutro --dst pirca --project-uuid pirca-j7d0g-ecak8knpefz8ere jutro-7fd4e-mkmmq53m1ze6apx</span>
+ae480c5099b81e17267b7445e35b4bc7+180: 23M / 23M 100.0%
+2463fa9efeb75e099685528b3b9071e0+438: 156M / 156M 100.0%
+jutro-4zz18-vvvqlops0a0kpdl: 94M / 94M 100.0%
+2020-08-19 17:04:13 arvados.arv-copy[4789] INFO:
+2020-08-19 17:04:13 arvados.arv-copy[4789] INFO: Success: created copy with uuid pirca-7fd4e-s0tw9rfbkpo2fmx
</code></pre>
</notextile>
-The name, description, and workflow definition from the original workflow will be used for the destination copy. In addition, any *locations* and *docker images* found in the src workflow definition will also be copied to the destination recursively.
+The name, description, and workflow definition from the original workflow will be used for the destination copy. In addition, any *collections* and *docker images* referenced in the source workflow definition will also be copied to the destination.
If you would like to copy the object without dependencies, you can use the @--no-recursive@ flag.
-
-For example, we can copy the same object non-recursively using the following:
-
-<notextile>
-<pre><code>~$ <span class="userinput">arv-copy --src pirca --dst dstcl --dst-git-repo $USER/tutorial --no-recursive pirca-7fd4e-sampleworkflow1</span>
-</code></pre>
-</notextile>
During it's lifetime, a keep collection can be in various states. These states are *persisted*, *expiring*, *trashed* and *permanently deleted*.
+The nominal state is *persisted* which means the data can be can be accessed normally and will be retained indefinitely.
+
A collection is *expiring* when it has a *trash_at* time in the future. An expiring collection can be accessed as normal, but is scheduled to be trashed automatically at the *trash_at* time.
A collection is *trashed* when it has a *trash_at* time in the past. The *is_trashed* attribute will also be "true". The delete operation immediately puts the collection in the trash by setting the *trash_at* time to "now". Once trashed, the collection is no longer readable through normal data access APIs. The collection will have *delete_at* set to some time in the future. The trashed collection is recoverable until the delete_at time passes, at which point the collection is permanently deleted.
-# "*Collection lifecycle attributes*":#collection_attributes
# "*Deleting / trashing collections*":#delete-collection
# "*Recovering trashed collections*":#trash-recovery
+# "*Collection lifecycle attributes*":#collection_attributes
{% include 'tutorial_expectations' %}
-h2(#collection_attributes). Collection lifecycle attributes
-
-As listed above the attributes that are used to manage a collection lifecycle are it's *is_trashed*, *trash_at*, and *delete_at*. The table below lists the values of these attributes and how they influence the state of a collection and it's accessibility.
-
-table(table table-bordered table-condensed).
-|_. collection state|_. is_trashed|_. trash_at|_. delete_at|_. get|_. list|_. list?include_trash=true|_. can be modified|
-|persisted collection|false |null |null |yes |yes |yes |yes |
-|expiring collection|false |future |future |yes |yes |yes |yes |
-|trashed collection|true |past |future |no |no |yes |only is_trashed, trash_at and delete_at attribtues|
-|deleted collection|true|past |past |no |no |no |no |
-
h2(#delete-collection). Deleting / trashing collections
A collection can be deleted using either the arv command line tool or the workbench.
+h3. Trashing a collection using workbench
+
+To trash a collection using workbench, go to the Data collections tab in the project, and use the <i class="fa fa-fw fa-trash-o"></i> trash icon for this collection row.
+
h3. Trashing a collection using arv command line tool
<pre>
arv collection delete --uuid=zzzzz-4zz18-xxxxxxxxxxxxxxx
</pre>
-h3. Trashing a collection using workbench
-
-To trash a collection using workbench, go to the Data collections tab in the project, and use the trash icon for this collection row.
-
h2(#trash-recovery). Recovering trashed collections
A collection can be un-trashed / recovered using either the arv command line tool or the workbench.
+h3. Un-trashing a collection using workbench
+
+To untrash a collection using workbench, go to trash page on workbench by clicking on the "Trash" icon in the top navigation in workbench and use the recycle icon or selection dropdown option.
+
+!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/trash-button-topnav.png!
+
h3. Un-trashing a collection using arv command line tool
You can list the trashed collections using the list command.
arv collection untrash --uuid=zzzzz-4zz18-xxxxxxxxxxxxxxx
</pre>
-h3. Un-trashing a collection using workbench
+h2(#collection_attributes). Collection lifecycle attributes
-To untrash a collection using workbench, go to trash page on workbench by clicking on the "Trash" icon in the top navigation in workbench and use the recycle icon or selection dropdown option.
+As listed above the attributes that are used to manage a collection lifecycle are it's *is_trashed*, *trash_at*, and *delete_at*. The table below lists the values of these attributes and how they influence the state of a collection and it's accessibility.
-!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/trash-button-topnav.png!
+table(table table-bordered table-condensed).
+|_. collection state|_. is_trashed|_. trash_at|_. delete_at|_. get|_. list|_. list?include_trash=true|_. can be modified|
+|persisted collection|false |null |null |yes |yes |yes |yes |
+|expiring collection|false |future |future |yes |yes |yes |yes |
+|trashed collection|true |past |future |no |no |yes |only is_trashed, trash_at and delete_at attribtues|
+|deleted collection|true|past |past |no |no |no |no |
Arvados Data collections can be downloaded using either the arv commands or using Workbench.
-# "*Downloading using arv commands*":#download-using-arv
-# "*Downloading using Workbench*":#download-using-workbench
-# "*Downloading a shared collection using Workbench*":#download-shared-collection
+# "*Download using Workbench*":#download-using-workbench
+# "*Sharing collections*":#download-shared-collection
+# "*Download using command line tools*":#download-using-arv
-h2(#download-using-arv). Downloading using arv commands
+h2(#download-using-workbench). Download using Workbench
+
+You can also download Arvados data collections using the Workbench.
+
+Visit the Workbench *Dashboard*. Click on *Projects*<span class="caret"></span> dropdown menu in the top navigation menu, select your *Home* project. You will see the *Data collections* tab, which lists the collections in this project.
+
+You can access the contents of a collection by clicking on the *<i class="fa fa-fw fa-archive"></i> Show* button next to the collection. This will take you to the collection's page. Using this page you can see the collection's contents, and download individual files.
+
+You can now download the collection files by clicking on the <span class="btn btn-sm btn-info"><i class="fa fa-download"></i></span> button(s).
+
+h2(#download-shared-collection). Sharing collections
+
+h3. Sharing with other Arvados users
+
+Collections can be shared with other users on the Arvados cluster by sharing the parent project. Navigate to the parent project using the "breadcrumbs" bar, then click on the *Sharing* tab. From the sharing tab, you can choose which users or groups to share with, and their level of access.
+
+h3. Creating a special download URL
+
+To share a collection with users that do not have an account on your Arvados cluster, visit the collection page using Workbench as described in the above section. Once on this page, click on the <span class="btn btn-sm btn-primary" >Create sharing link</span> button.
+
+This will create a sharing link for the collection as shown below. You can copy the sharing link in this page and share it with other users.
+
+!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/shared-collection.png!
+
+A user with this url can download this collection by simply accessing this url using browser. It will present a downloadable version of the collection as shown below.
+
+!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/download-shared-collection.png!
+
+h2(#download-using-arv). Download using command line tools
{% include 'tutorial_expectations' %}
<pre><code>~$ <span class="userinput">arv-get zzzzz-4zz18-fw6dnjxtkvzdewt/ .</span>
</code></pre>
</notextile>
-
-h2(#download-using-workbench). Downloading using Workbench
-
-You can also download Arvados data collections using the Workbench.
-
-Visit the Workbench *Dashboard*. Click on *Projects*<span class="caret"></span> dropdown menu in the top navigation menu, select your *Home* project. You will see the *Data collections* tab, which lists the collections in this project.
-
-You can access the contents of a collection by clicking on the *<i class="fa fa-fw fa-archive"></i> Show* button next to the collection. This will take you to the collection's page. Using this page you can see the collection's contents, download individual files, and set sharing options.
-
-You can now download the collection files by clicking on the <span class="btn btn-sm btn-info"><i class="fa fa-download"></i></span> button(s).
-
-h2(#download-shared-collection). Downloading a shared collection using Workbench
-
-Collections can be shared to allow downloads by anonymous users.
-
-To share a collection with anonymous users, visit the collection page using Workbench as described in the above section. Once on this page, click on the <span class="btn btn-sm btn-primary" >Create sharing link</span> button.
-
-This will create a sharing link for the collection as shown below. You can copy the sharing link in this page and share it with other users.
-
-!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/shared-collection.png!
-
-A user with this url can download this collection by simply accessing this url using browser. It will present a downloadable version of the collection as shown below.
-
-!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/download-shared-collection.png!
---
layout: default
navsection: userguide
-title: "Accessing Keep from GNU/Linux"
+title: "Keep network mount on GNU/Linux"
...
{% comment %}
Copyright (C) The Arvados Authors. All rights reserved.
SPDX-License-Identifier: CC-BY-SA-3.0
{% endcomment %}
-This tutoral describes how to access Arvados collections on GNU/Linux using traditional filesystem tools by mounting Keep as a file system using @arv-mount@.
+GNU/Linux users can use @arv-mount@ to mount Keep as a file system in order to access Arvados collections using traditional filesystem tools.
{% include 'tutorial_expectations' %}
---
layout: default
navsection: userguide
-title: "Accessing Keep from OS X"
+title: "Keep network mount on OS X"
...
{% comment %}
Copyright (C) The Arvados Authors. All rights reserved.
h3. Accessing a specific collection in Keep (read-write)
-In Finder, use "Connect to Server..." under the "Go" menu and enter @https://collections.ClusterID.example.com/@ in popup dialog. When prompted for credentials, put a valid Arvados token in the @Password@ field and anything in the Name field (it will be ignored by Arvados).
+In Finder, use "Connect to Server..." under the "Go" menu and enter @https://collections.ClusterID.example.com/c=your-collection-uuid@ in popup dialog. When prompted for credentials, put a valid Arvados token in the @Password@ field and anything in the Name field (it will be ignored by Arvados).
This collection is now accessible read/write.
---
layout: default
navsection: userguide
-title: "Accessing Keep from Windows"
+title: "Keep network mount on Windows"
...
{% comment %}
Copyright (C) The Arvados Authors. All rights reserved.
SPDX-License-Identifier: CC-BY-SA-3.0
{% endcomment %}
-Arvados Data collections can be uploaded using either the @arv-put@ command line tool or using Workbench.
+Arvados Data collections can be uploaded using either Workbench or the @arv-put@ command line tool.
-# "*Upload using command line tool*":#upload-using-command
# "*Upload using Workbench*":#upload-using-workbench
+# "*Creating projects*":#creating-projects
+# "*Upload using command line tool*":#upload-using-command
+
+h2(#upload-using-workbench). Upload using Workbench
+
+To upload using Workbench, visit the Workbench *Dashboard*. Click on *Projects*<span class="caret"></span> dropdown menu in the top navigation menu and select your *Home* project or any other project of your choosing. You will see the *Data collections* tab for this project, which lists the collections in this project.
+
+To upload files into a new collection, click on *Add data*<span class="caret"></span> dropdown menu and select *Upload files from my computer*.
+
+!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/upload-using-workbench.png!
+
+<br/>This will create a new empty collection in your chosen project and will take you to the *Upload* tab for that collection.
+
+!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/upload-tab-in-new-collection.png!
+
+Click on the *Browse...* button and select the files you would like to upload. Selected files will be added to a list of files to be uploaded. After you are done selecting files to upload, click on the *<i class="fa fa-fw fa-play"></i> Start* button to start upload. This will start uploading files to Arvados and Workbench will show you the progress bar. When upload is completed, you will see an indication to that effect.
+
+!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/files-uploaded.png!
+
+*Note:* If you leave the collection page during the upload, the upload process will be aborted and you will need to upload the files again.
+
+*Note:* You can also use the Upload tab to add additional files to an existing collection.
notextile. <div class="spaced-out">
+h2(#creating-projects). Creating projects
+
+Files are organized into Collections, and Collections are organized by Projects.
+
+Click on *Projects*<span class="caret"></span> <span class="rarr">→</span> <i class="fa fa-fw fa-plus"></i>*Add a new project* to add a top level project.
+
+To create a subproject, navigate to the parent project, and click on <i class="fa fa-fw fa-plus"></i>*Add a subproject*.
+
+See "Sharing collections":tutorial-keep-get.html#download-shared-collection for information about sharing projects and collections with other users.
+
h2(#upload-using-command). Upload using command line tool
{% include 'tutorial_expectations' %}
Click on the *<i class="fa fa-fw fa-archive"></i> Show* button next to the collection's listing on a project page to go to the Workbench page for your collection. On this page, you can see the collection's contents, download individual files, and set sharing options.
notextile. </div>
-
-h2(#upload-using-workbench). Upload using Workbench
-
-To upload using Workbench, visit the Workbench *Dashboard*. Click on *Projects*<span class="caret"></span> dropdown menu in the top navigation menu and select your *Home* project or any other project of your choosing. You will see the *Data collections* tab for this project, which lists the collections in this project.
-
-To upload files into a new collection, click on *Add data*<span class="caret"></span> dropdown menu and select *Upload files from my computer*.
-
-!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/upload-using-workbench.png!
-
-<br/>This will create a new empty collection in your chosen project and will take you to the *Upload* tab for that collection.
-
-!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/upload-tab-in-new-collection.png!
-
-Click on the *Browse...* button and select the files you would like to upload. Selected files will be added to a list of files to be uploaded. After you are done selecting files to upload, click on the *<i class="fa fa-fw fa-play"></i> Start* button to start upload. This will start uploading files to Arvados and Workbench will show you the progress bar. When upload is completed, you will see an indication to that effect.
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-!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/files-uploaded.png!
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-*Note:* If you leave the collection page during the upload, the upload process will be aborted and you will need to upload the files again.
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-*Note:* You can also use the Upload tab to add additional files to an existing collection.
projects / arvados.git / commitdiff