Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biomedical research.
- Accessible: Users without programming experience can easily specify parameters and run tools and workflows.
- Reproducible: Galaxy captures information so that any user can repeat and understand a complete computational analysis.
- Transparent: Users share and publish analyses via the web and create Pages, interactive, web-based documents that describe a complete analysis.
There will be three Galaxy-related events on the Indiana University Bloomington Campus on October 19:
- Seminar: Transparent, Accessible, Reproducible Biological Analysis with Galaxy, 1:30pm-2:30pm, Jordan Hall 065
- Galaxy for Biologists Workshop, 3:00pm-4:30pm, Lindley 102
- Galaxy for Developers Workshop, 9:30am-11:30am (note new time), PTI 015
Seminar: Transparent, Accessible, Reproducible Biological Analysis with Galaxy
The widespread adoption of high-throughput techniques in biology has made working with large datasets a necessary and common task in biomedical research. Discovering meaning in these large datasets requires sophisticated bioinformatics tools, complex workflows, and computational infrastructure. The Galaxy Project (http://galaxyproject.org/) makes these tools accessible to a wide range of researchers, while ensuring that analyses are reproducible and can be communicated transparently to others. This talk will provide an overview of the Galaxy Project, and then discuss how Galaxy enables researchers to create, refine, share and reproduce their own bioinformatic analysis - using only a web browser accessing public servers or local compute resources, or by utilizing on-demand cloud infrastructures.
The talk is open to the public. No advance registration is required.
Galaxy for Biologists Workshop
Are you a biomedical researcher who needs to do complex analysis on large datasets?
Galaxy is an open, web-based platform for data intensive biomedical research that enables non-bioinformaticians to create, run, tune, and share their own bioinformatic analyses.
This hands-on workshop will teach participants how to integrate data, and perform simple and complex analysis within Galaxy. It will also cover data visualization and visual analytics, and how to share and reuse your bioinformatic analyses, all from within Galaxy.
This is a hands-on workshop. Please bring a wifi-enabled laptop with a current web browser (Chrome, Firefox, Safari, Opera, IE9) installed on it. No programming or Linux command line experience is required.
|3:00|| Basic Analysis with Galaxy
Walk though a worked, hands-on example demonstrating basic analysis within Galaxy
| Basic Analysis into Reusable Workflows
Genercise the basic analysis into a workflow we can use over and over
| NGS Quality Control
Time allowing, we will do the first step, quality control, of an RNA-Seq example that participants can complete after the workshop.
Registration is open to any member of the Indiana University community. However, space is limited and the workshop is now at capacity.
Galaxy for Developers Workshop
This workshop will introduce Galaxy for developers. This includes covering the Galaxy API, Galaxy Architecture, configuring Galaxy for a production environment. This will be more informal than the Galaxy for Biologists workshop and will cover topics that are of most interest to attendees. Dave Clements of the Galaxy Project will lead the workshop and we will be joined remotely by Nate Coraor and Dannon Baker of the Galaxy development team.
Registration is open to any member of the Indiana University community. The workshop is free, but space is limited and advanced registration is required.
- Please help get the word out by distributing this flyer in your department.
Contact Galaxy Outreach email@example.com.