Google Cloud and WuXi NextCODE are dedicated to advancing the state of the art in biomedical informatics, especially through open source, which allows developers to collaborate broadly and deeply.
WuXi NextCODE is itself a user of Nextflow, and Google Cloud has many customers that use Nextflow. Together, we’ve collaborated to deliver Google Cloud Platform (GCP) support for Nextflow using the Google Pipelines API. Pipelines API is a managed computing service that allows the execution of containerized workloads on GCP.
Nextflow now provides built-in support for Google Pipelines API which allows the seamless deployment of a Nextflow pipeline in the cloud, offloading the process executions as pipelines running on Google's scalable infrastructure with a few commands. This makes it even easier for customers and partners like WuXi NextCODE to process biomedical data using Google Cloud.
This feature is currently available in the Nextflow edge channel. Follow these steps to get started:
Install Nextflow from the edge channel exporting the variables shown below and then running the usual Nextflow installer Bash snippet:
export NXF_VER=18.12.0-edge export NXF_MODE=google curl https://get.nextflow.io | bash
nextflow.config file to use the Google Pipelines executor and specify the required config values for it as described in the documentation.
Finally, run your script with Nextflow like usual, specifying a Google Storage bucket as the pipeline work directory with the
-work-dir option. For example:
nextflow run rnaseq-nf -work-dir gs://your-bucket/scratch
You can find more detailed info about available configuration settings and deployment options at this link.
We’re thrilled to make this contribution available to the Nextflow community!