# AnVIL Demo: Getting Started with your Analyses and Running FastQC with Galaxy in AnVIL on January 15, 2025

**URL:** <https://help.anvilproject.org/t/anvil-demo-getting-started-with-your-analyses-and-running-fastqc-with-galaxy-in-anvil-on-january-15-2025/253>\
**Category:** AnVIL Demos\
**Created:** [January 15, 2025, 4:51pm UTC](https://help.anvilproject.org/t/anvil-demo-getting-started-with-your-analyses-and-running-fastqc-with-galaxy-in-anvil-on-january-15-2025/253 "2025-01-15T16:51:29Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![SMO](https://yyz1.discourse-cdn.com/flex027/user_avatar/help.anvilproject.org/smo/32/13_2.png) [@SMO](https://help.anvilproject.org/u/SMO)\
**Post date:** [January 15, 2025, 4:51pm UTC](https://help.anvilproject.org/t/anvil-demo-getting-started-with-your-analyses-and-running-fastqc-with-galaxy-in-anvil-on-january-15-2025/253/1 "2025-01-15T16:51:29Z")

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# January Demo: Getting Started with your Analyses and Running FastQC with Galaxy in AnVIL

## January 15, 2025 at 10:00 AM ET

### 11:00 AM - 11:30 AM EDT – Demo on AnVIL

In this demo, Javier Carpinteyro-Ponce will demonstrate “Getting Started with your Analyses in AnVIL”, and Kate Isaac will demonstrate “Running FastQC with Galaxy in AnVIL.”

![](https://canada1.discourse-cdn.com/flex027/uploads/anvil/optimized/1X/6aee25c60f2c6133ae0052a8919b6675909baf35_2_690x388.jpeg)https://www.youtube.com/embed/MH2GDqsbUCs?feature=oembed&wmode=opaque&list=PL6aYJ_0zJ4uC978C57P3TgAAfB38uy58E

### 11:30 AM - 12:00 PM EDT – Q&A

We’ll open up the floor to answer questions about the demo or any general questions about AnVIL you might have!

✏ Sign up:[https://forms.gle/7CcaLE9AM7FrYqpP7](https://forms.gle/7CcaLE9AM7FrYqpP7)

# What are AnVIL Demos?

AnVIL Demos are a monthly, virtual meeting where we highlight what you can do on the[NHGRI](https://www.genome.gov/) Analysis, Visualization, and Informatics Lab-space ([AnVIL](https://anvilproject.org/)), a cloud-based computing platform for genomic data science! AnVIL Demos will start out with a 30-minute demonstration on the platform followed by open time for Q&A and user support.

The demos will highlight a range of topics, from a capability of the platform to a scientific analysis powered by AnVIL. If you’re interested in showcasing how you use AnVIL at a future AnVIL Demos session, reach out to Natalie Kucher (nkucher3@jhu.edu). After the demo, we’ll open up the floor to answer questions about the demo and to answer any general questions you might have about AnVIL.

⏯ Watch our past Demos from our [YouTube playlist](https://www.youtube.com/playlist?list=PL6aYJ_0zJ4uC978C57P3TgAAfB38uy58E)!

✏ Sign up for more demos:[https://forms.gle/7CcaLE9AM7FrYqpP7](https://forms.gle/7CcaLE9AM7FrYqpP7)

# Resources

- AnVIL Getting Started Guide. An opinionated guide on how to get set up and start your work on AnVIL.[Get started here](https://jhudatascience.org/AnVIL_Book_Getting_Started/).
- AnVIL YouTube Channel. Learn about AnVIL capabilities and features with our “AnVIL in 2 minutes” videos.[Watch AnVIL in 2 minutes here](https://www.youtube.com/playlist?list=PL6aYJ_0zJ4uCABkMngSYjPo_3c-nUUmio) or[watch past AnVIL Demos here](https://www.youtube.com/playlist?list=PL6aYJ_0zJ4uC978C57P3TgAAfB38uy58E).
- AnVIL Support Forum. Join the conversation at[help.anvilproject.org](http://help.anvilproject.org/).

# Upcoming Events

Sign up to hear about future AnVIL Demos and announcements at[bit.ly/anvil-mailing-list](http://bit.ly/anvil-mailing-list) and learn about upcoming events at[https://anvilproject.org/events](https://anvilproject.org/events)!

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**Author:** ![nakucher](https://yyz1.discourse-cdn.com/flex027/user_avatar/help.anvilproject.org/nakucher/32/109_2.png) [@nakucher](https://help.anvilproject.org/u/nakucher)\
**Post date:** [January 27, 2025, 5:14pm UTC](https://help.anvilproject.org/t/anvil-demo-getting-started-with-your-analyses-and-running-fastqc-with-galaxy-in-anvil-on-january-15-2025/253/2 "2025-01-27T17:14:52Z")

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- Q: I would like to build a custom docker for Jupyter notebook environments. How should I approach this task?
- A: Terra provides base images that can be expanded upon to fit your specific use case. You can learn more at [GitHub - DataBiosphere/terra-docker](https://github.com/databiosphere/terra-docker?tab=readme-ov-file#terra-base-images).
- Q: When developing a WDL workflow, should I use one docker with all associated dependencies for all tasks in the pipeline?
- A: Sometimes it’s easier to focus on one step at a time, ensuring that the outputs for each step in the pipeline are generated and stored as expected. Sometimes using a specific docker for each step can simplify development, testing and debugging.
- Q: Sometimes I want to run all samples in a data table through a WDL workflow. When selecting workflow inputs from the workspace data table in the UI, I can only select one “page” worth of records at a time. This seems tedious, is this possibly a bug?
- A: Great question! All samples from the workspace data table can be selected at once when launching a workflow from the workflows tab. When selecting data from the pop-up form in the workflow tab, there is a checkbox in the table’s header. By selecting the down-arrow, a menu appears, allowing users to select ‘ALL’ records from a table
- Q: I Would like to upload a large dataset from an HPC to AnVIL. Will this be covered today? Any suggestions on how to get started?
- A: This is a great idea for a future demo! In the meantime, here are some useful resources to get started: [https://support.terra.bio/hc/en-us/articles/4409101169051-How-to-move-data-to-from-a-Google-bucket](https://support.terra.bio/hc/en-us/articles/4409101169051-How-to-move-data-to-from-a-Google-bucket)
- Q: I’m comfortable with Galaxy, but some tools are made available through WDL. How can I choose between Galaxy and WDL?
- A: It really depends! Galaxy is great if you don’t want to mess with code. However, if you are (1) using a tool that is less common, (2) you need to do a lot of customizing, or (3) you have a ton of files, you might want to learn WDL
- Q: How can I get started learning WDL?
- A: [GitHub - openwdl/learn-wdl: Educational materials for learning WDL](https://github.com/openwdl/learn-wdl) is a great point for jumping in.
