This global 4-day event introduces scalable and reproducible SARS-CoV-2 data analysis using Galaxy. The Galaxy online platform for biological research allows people to use computational data analysis tools and workflows without the need for programming experience. The robustness and scalability of Galaxy has seen it be applied reproducibly to analysis of SARS-CoV-2 data.
This workshop aims to build capacity in SARS-CoV-2 data analysis and data management, including data submission to ENA. After the workshop, all participants will be able to upload viral sequencing data, call all variants, create a variety of reports and create consensus alignments.
View more details and the full program
Date/time: August 9-12, 2021 all time zones.
Format: Virtual and asynchronous. All training sessions are pre-recorded and provided in advance, so you can work through them at your own pace, and manage your own time.
A community of trainers will be available via online support to answer all your questions via either:
Live support in chat (Slack Channel), in which experts will answer questions on a peer-to-peer basis.
Real-Time Q&A sessions on days 3 and 4 (5 pm AEST)
Learning outcomes
The workshop will provide an introduction to Galaxy for SARS-CoV-2 data analysis. By the end of the workshop you should be able to use Galaxy for:
Data upload
Variant Calling
Consensus building
Visualisation
Data export
Who the workshop is for
Clinicians and researchers that deal with SARS-CoV-2 sequencing data or researchers with an interest in variant calling.
No programming experience is required.
Technical requirements
A Galaxy account is required to complete the hands-on components of this workshop. Register for your free account via Galaxy Europe.
How to join
This workshop is free to join but registration is essential.
For more details and to register visit the Galaxy Europe Event page.
This workshop is presented by Galaxy Europe with support from international partners including the Australian BioCommons , Galaxy Australia, Queensland Cyber Infrastructure Foundation (QCIF) and Melbourne Bioinformatics.
Cover image: SARS-CoV-2 illustration, Alissa Eckert, MS; Dan Higgins, MAM, Wikimedia Commons. This image is in the public domain.
