Galaxy – A Platform for Life Science Analyses (more than just genomics)
Australia hosts a nationally accessible Galaxy instance; the Galaxy Australia platform. The platform is it’s third year of national operation and is strongly aligned to the use galaxy.*ecosystem of global Galaxy platforms. This demonstration will showcase the generic features of the Galaxy platform that enables it to be a robust nationally hosted web-accessible platform that lets you conduct accessible, reproducible, and transparent computational biological research. Triyearly Galaxy code base is updated and we will highlight features of the platform that demonstrate the clear commitment of the global Galaxy developer community to delivering functionality relevant to the user base. These will include streamlined data ingest functionality (both files and metadata), interactive tools for rich data exploration, improved workflow management. In addition, we will demonstrate how the underlying architecture of Galaxy services can be deployed to enable increasing complex data analysis, such as plant derived genome assemblies, de novo genome reconstruction and large cohort metagenomics, through the use of high memory computer nodes. Finally, the demonstration will highlight the broadening fields of research support enabled through Galaxy beyond genomics, including proteomics, metabolomics, ecology and climate modelling.
Availability and Requirements:
- Project name: Galaxy Australia (representing Galaxy Project)
- Project home page: https://usegalaxy.org.au
- Operating system(s): Linux, Windows, Mac OS X – requirement: internet browser only
- Gareth Price, QCIF Facility for Advanced Bioinformatics, Institute of Molecular Biology, University of Queensland, Australia
- Simon Gladman, Melbournre Bioinformatics, Faculty of Medicine, University of Melbourne, Australia
Registration is only open to InCoB2020 participants, at no additional cost. Please register first as an InCoB2020 participant if you have not done so in order to register for this workshop. As seats are limited, allocation will be made on first-come-first-served basis.