AWS for Industries

Tag: AWS Batch

Using Structural Variant Analysis on AWS with Amazon FSx for Lustre in Novel Therapeutic Discovery

Using Structural Variant Analysis on AWS with Amazon FSx for Lustre in Novel Therapeutic Discovery

This post is coauthored by Adam Tebbe (VP of Computational Data Science and Technology), Eva Fast (Senior Computational Biologist), Sarthak Vilas Patel (Senior Data Engineer) from Goldfinch Bio, Inc. and Henrique Silva (Machine Learning Lead) from AWS Advanced Consulting Partner Loka. Goldfinch Bio is an early-stage biotechnology company, who is working towards developing novel, genetically-validated […]

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Running WDL workflows at scale with Amazon Genomics CLI and MiniWDL

Today, AWS for Genomics announces the addition of miniWDL as a workflow engine in Amazon Genomics CLI, an open source tool that makes it easier to run genomics workflows at-scale by automating the deployment of workflow engines and compute clusters. MiniWDL is a lightweight engine for running Workflow Definition Language (WDL) based workflows developed by […]

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BayerCLAW – Open-Source, Serverless Orchestrator for Scientific Workflows on AWS

Guest blog authored by Jack Tabaska and Ian Davis from the Bayer Crop Sciences team. At Bayer Crop Science we are applying modern genomic and data science methods to the challenges of global food production. Our research routinely produces enormous volumes of raw data that must be processed quickly and cost-effectively. Automated analysis pipelines (also […]

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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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Genomic pathogen surveillance using Nextflow on AWS

The Centre for Genomic Pathogen Surveillance (CGPS) is based at the Wellcome Genome Campus, Cambridge and The Big Data Institute, University of Oxford in the United Kingdom. The Centre hopes to enable the linking and real-time interpretation of data globally to track pathogens and antimicrobial resistance in a cost-effective manner. Using AWS CloudFormation and AWS […]

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