Bioinformatics workflows
As the scale and complexity of biological data continues to grow, computational workflows facilitate high throughput analysis by allowing researchers to automate various tedious and repetitive tasks such as managing data, running different tools, managing intermediate files, and dealing with computational job schedulers.
Various modern workflow management systems and languages (e.g. NextFlow, Snakemake, Galaxy, CWL, WDL etc) can help by offering a high level of reproducibility, portability and computing platform independence which enables researchers to focus more on developing new methods and interpreting their results.
Services and resources
Find reusable bioinformatics workflows.
Visit the BioCommons space on WorkflowHub to find reusable best practice bioinformatics workflows.
Use Galaxy Australia to create and execute bioinformatics workflows.
For researchers wanting to use Nextflow bioinformatics workflows across a myriad of compute platforms.
BioCommons training program including webinars, discussions and workshops, that involve applying bioinformatics workflows.
Freely available via the Galaxy Training Network, often representing complete workflows.
Join the conversation - all welcome!
We help coordinate a community for bioinformatics workflows, which aims to:
Provide a forum to:
Connect with colleagues, share knowledge and collaborate
Learn about how to leverage relevant tools and services
Identify gaps in current community scale digital infrastructure.
This approach helps us identify and deploy relevant national scale services and resources (such as those listed above) that help address these gaps.
During 2024 we will be drafting a “Computational Workflows Infrastructure Roadmap for Australia” which will present a vision for shared national infrastructure that will help researchers access, develop and deploy computational workflows.