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Robust public computational services supporting proteomics for Australian researchers

Authors: Gustafsson, Ove Johan Ragnar; Lonie, Andrew; Christiansen, Jeffrey; Gladman, Simon; Price, Gareth;

Robust public computational services supporting proteomics for Australian researchers

Abstract

This poster presentation took place during the Lorne Proteomics Conference 3-6 February 2022. A recording of this presentation is available on the Australian BioCommons YouTube channel. Presenter: Ove Gustafsson Abstract Galaxy Australia (https://usegalaxy.org.au/) is a publicly accessible web-based platform that supports reproducible computational biological research. The platform achieves this by providing a graphical user interface to data import and export functions, >1000 software tools covering multiple domains, the ability to easily chain these tools into complex workflows, a working history of every step taken in a bioinformatics workflow and access to a welcoming and lively global community that includes high quality training materials. As one of the flagship services of the Australian BioCommons (https://www.biocommons.org.au/), Galaxy Australia supports a national program that enables the provision and use of ‘community scale’ bioinformatics infrastructures at a national level and supports multiple and wide ranging communities within life science research. This presentation will introduce Galaxy and how it can be leveraged for proteomics, including the available tools and workflows, particularly in the context of the Galaxy Training Network (GTN). The Australian BioCommons and Galaxy Australia are working with national life science communities to continually improve the tools, workflows and functionality available to Galaxy users: as such we also welcome the proteomics community to join this effort, so we can collectively empower both experts and end users within Australian proteomics.

Keywords

FOS: Computer and information sciences, Proteomics, Bioinformatics, Galaxy Australia

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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