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Integration of open-source AI models in Galaxy (web-based scientific data analysis platform)
Description
Galaxy (Europe) is a web-based, open-source data analysis platform. It offers several thousand tools to analyse scientific data analyses such as mapping DNA sequences, RNA expression analysis, variant calling, machine learning and deep learning. There are a lot of trained AI models available online in several model zoos but they lack a unified system promoting their usage for inference tasks.
Aim is to provide seamless integration of openly available AI models into the Galaxy ecosystem
Availability of tools to download and use AI models would promote the usage of such models for predictive analyses
many thanks for your contribution! We hope your session was successful and constructive!
To make this not only a nice experience during the conference but a sustainable format, we would like to release a short result on the Helmholtz AI Website. Please provide us with a little report about the discussion in your session:
One or two intro sentences about the topic and the respective format of your session
What was most controversial, or about what did all participants agree on?
What were the key ideas?
Do you see any follow up on this discussion?
Depending on the intensity of the session it can be shorter (1/3 page) or longer (one pager).
Please post your report here by end of next week. Ina already confirmed to release that at a HAICON24 subpage at Helmholtz.ai.
Title
Integration of open-source AI models in Galaxy (web-based scientific data analysis platform)
Description
Galaxy (Europe) is a web-based, open-source data analysis platform. It offers several thousand tools to analyse scientific data analyses such as mapping DNA sequences, RNA expression analysis, variant calling, machine learning and deep learning. There are a lot of trained AI models available online in several model zoos but they lack a unified system promoting their usage for inference tasks.
Organizational
Bioinformatics group, Freiburg Galaxy team, University of Freiburg, Germany
Host(s)
Anup Kumar
kumara@informatik.uni-freiburg.de
Format
Introduction talk followed by open discussion
Timeframe
30 min
Number of participants
There is NOT any limitation in the number of people who attend this session
Material
Beamer, markers, paper
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