AWS for Industries

Category: AWS Batch

Standardizing quantification of expression data at Corteva Agriscience with Nextflow and AWS Batch

Authored by Anand Venkatraman, Bioinformatics Associate Research Scientist at Corteva Agriscience, and Srinivasarao Annapareddi, Cloud DevOps Engineer at Corteva Agriscience. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. — Data analysis in biological research today presents some […]

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Cromwell on AWS: A simpler and improved AWS Batch backend

The latest release of Cromwell (v52) includes a number of major changes and improvements to the AWS Batch backend for Cromwell. Among the numerous changes, we have enabled Cromwell’s Call Caching feature when using AWS Batch with files in Amazon Simple Storage Service (Amazon S3). This allows genomics researchers to efficiently develop and run workflows […]

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Building a scalable image processing pipeline for image-based transcriptomics

The below post was written by guest author Shannon Axelrod, Senior Software Engineer at the Chan Zuckerberg Initiative. At the Chan Zuckerberg Initiative (CZI), the science team’s goal is to support the science and technology that will make it possible to cure, prevent, or manage all diseases by the end of this century. In particular, the organization […]

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