Materials from workshops and conferences

All of our presentation materials are available in Google Drive, except for videos which are posted on YouTube. Whenever we give a public presentation or teach a workshop (see Events calendar), we make available a PDF copy of the slide deck(s), as well as any tutorial data and worksheets.

Slides and workshop materials

The link above leads you to a shared Google Drive that hosts presentation materials about FireCloud and related software and services produced by the Data Sciences Platform at Broad.

You'll find assorted presentations about building and running analysis pipelines here.

In addition, we share materials from our hands-on workshops. Up to now, WDL workshops have always been embedded in GATK workshops, so the WDL hands-on tutorial materials are located within the GATK Workshops directory. There, directories containing workshop materials are grouped and organized by date, which is written as YYMM, so for example "1702" means "February 2017". To get the latest version of the workshop materials, just navigate to the directory with the largest number. The workshop subdirectories typically also contain additional workshop materials such as tutorial datasets, worksheets and handouts. If you're interested in learning more about our workshop formula, see this article.

Fair use policy

You are welcome to use any slides or figures featured in these slide decks for non-profit purposes as long as you provide clear attribution of their origin and a link to this website. We can provide high-resolution files on request. If you wish to use any slides or figures in a commercial publication or other such medium, or use our tutorial materials in a course, please post a request for permission in our support forum. This is mainly for tracking interest; we're happy to approve all reasonable requests.


PDF versions of posters can be found here.

YouTube videos

Here is a channel/playlist of WDL-related videos you may find useful:


Pipelining Talks

Talks that cover the topic of building genomic analysis pipelines