Galaxy – A Web-Based Platform for Reproducible Computational Analysis

Date and Venue:         24.01.2023, 10:00-11:30 AM, online

Target Groups:           Researchers in the life science, data stewards and the interested public

Language:                     English

Description

Galaxy is a scientific data analysis, data integration and data publishing platform based on workflows that aims to make computational biology accessible to research scientists that do not have computer programming experience. Medical University Graz is just one among many Galaxy instances from all around the world. The Core Facility Computational Bioanalytics (CF-CB) at Med Uni Graz offers trainings and technical support for researchers who want to use Galaxy.

In this webinar participants will get to know how the Galaxy platform operates and what is unique in Med Uni Graz instance in comparison to the other instances. During the live demonstration, participants will get familiar with the Galaxy interface, working with data upload, data histories and data analysis as well as data visualization, data sharing and workflow execution.

Agenda

  • Intro into CF-CB services and collaboration possibilities
  • MedBioNode infrastructure and usage options
  • Introduction into Galaxy
  • Live demonstration
  • Q&A

Moderation: Therese Macher und Peter Schaffer, RDM Team, Med Uni Graz

Speakers

Andrea Groselj-Strele and Marija Durdevic, Core Facility Computational Bioanalytics, Med Uni Graz

Webinar Series

The event series “Research Data Management in Austria” is aimed at researchers and / or people involved in research support and serves to promote networking and exchange on the topic of research data management, writing a data management plan and similar related topics.

Registration

This event will be recorded. This recording will then be publicly available on the FAIR Data Austria website and in openly accessible repositories. If you do not want your video and audio recordings to be published, you can turn off both your camera and microphone during the entire event.

You will receive the information about dialing in by email in advance. Participation is limited, so please register by January, 23rd at the latest.