The Open Science Blog

We have talked about Google Cloud Batch before. Not only that, we were proud to announce Nextflow support to Google Cloud Batch right after it was publicly released, back in July 2022. How amazing is that? But we didn’t stop there! The Nextflow official documentation also provides a lot of useful information on how to use Google Cloud Batch as the compute environment for your Nextflow pipelines.

Marcel Ribeiro-Dantas

Follow our step-by-step guide and learn how to build and deploy your own scientific containers with Nextflow.

Evan Floden

After a three-year COVID-related hiatus from in-person events, Nextflow developers and users found their way to Barcelona this October for the 2022 Nextflow Summit. Held at Barcelona’s iconic Agbar tower, this was easily the most successful Nextflow community event yet!

Noel Ortiz

Learn about Easy Genomics - an innovative effort by Wisconsin State Laboratory of Hygiene (WSLH), Two Bulls, and AWS based on Nextflow Tower.

Venkata Kampana

Learn how Tower's new resource optimization feature can help you accelerate pipeline execution and dramatically reduce cloud spending.

Evan Floden

Containers have become an essential part of well-structured data analysis pipelines. They encapsulate applications and dependencies in portable, self-contained packages that can be easily distributed. Containers are also key to enabling predictable and reproducible results.

Paolo Di Tommaso

A deep dive into Nextflow on Azure Batch, how the integration works, and different deployment options.

Evan Floden

An overview of cloud-native data pipelines and the need for portable workflows and for hybrid computing

Evan Floden

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.

Paolo Di Tommaso

Learn how to deploy an elastic computing cluster in the AWS cloud with Nextflow.

Paolo Di Tommaso

Nextflow is a framework that simplifies the writing of parallel and distributed computational pipelines in a portable and reproducible manner across different computing platforms, from a laptop to a cluster of computers.

Paolo Di Tommaso