Galaxy Australia training is being rolled out nationally, starting this month, and will include UQ St Lucia as one of the main workshop hubs.
Galaxy Australia is a RCC, Melbourne Bioinformatics and QCIF-operated, freely available service instance of the open, Web-based Galaxy platform for computational biology research. It enables accessible, reproducible, and transparent research, and is a major feature of the Australian-made Genomics Virtual Laboratory.
RCC is one of the organisations helping to train genomics researchers nationwide in NGS analysis on the Galaxy Australia bioinformatics platform.
The national training program will begin with four workshops to introduce Galaxy Australia capabilities to researchers, with demonstrations based around different themes.
The training will be led by a Galaxy expert who is available online throughout the hands-on sessions that are facilitated by trained locals at participating EMBL-ABR nodes. UQ St Lucia is one of the key locations for all workshops, which are free, but be sure to register as places are limited.
The first workshop on Wednesday, 22 August, 1pm–4pm AEST, will be an Introduction to Genome Assembly using Galaxy Australia workshop. Dr Anna Syme from Melbourne Bioinformatics, who is coordinating training for Galaxy Australia, will lead the workshop from Melbourne, with trained facilitators on hand at a number of venues across Australia to assist participants locally.
RCC’s Dr Igor Makunin, a key member of the Galaxy Australia project team, will lead the training at UQ St Lucia. Dr Makunin will also lead the second workshop on Variant Detection on 12 September.
The four nationwide workshops in the training series include:
- Introduction to Genome Assembly using Galaxy Australia, Wednesday, 22 August, 1pm–4pm AEST
- Introduction to Variant Detection using Galaxy Australia, Wednesday, 12 September, 1pm–4pm AEST
- Introduction to using Galaxy Australia for RNA-Seq Analysis, Tuesday, 23 October, 1pm–4pm AEST
- Introduction to using Galaxy Australia for Metagenomics, Wednesday, 14 November, 12pm–3pm AEST.
