1. Run open-source public pipelinesa) From your browser, no install needed.
flowdeploy run nextflow nf-core/rnaseq \ -r '3.12.0'
flowdeploy.nextflow( pipeline="nf-core/rnaseq", pipeline_version="3.12.0", profiles=["docker", "test"], outdir=outdir )
3. Deploy pipelines to production
a) Connect GitHub to FlowDeploy.
b) Run your custom versioned pipelines:
flowdeploy run snakemake acme/rnaseq \ -r '1.1.0'
flowdeploy.snakemake( pipeline="acme/rnaseq", pipeline_version="1.1.0", run_location="fd://your-shared-fs/" snakemake_folder="working-directory" snakefile_location="workflow/Snakefile" )
4. Validate the pipeline with the FlowDeploy team for guaranteed success and critical enterprise support.
When one mistake can cost $100,000 over a weekend, proper infrastructure implementation is critical. FlowDeploy manages these risks, so you don't need to worry about being fired.
Don't slow down by depending on one quirky language or proprietary platform. Choose the right tool for each job, but keep centralized deployment and observability.
FlowDeploy uses an open source bioinformatics task execution protocol, managed by an independent non-profit – helping you avoid vendor lock-in.
Reliable infrastructure, tested pipelines, and versioning keeps you focused on building what's next. Automated integration tests ensure pipelines keep working – even old versions!