AWS Public Sector Blog

Tag: AWS for research

How to set up Galaxy for research on AWS using Amazon Lightsail

Galaxy is a scientific workflow, data integration, and digital preservation platform that aims to make computational biology accessible to research scientists that do not have computer programming or systems administration experience. Although it was initially developed for genomics research, it is largely domain agnostic and is now used as a general bioinformatics workflow management system, running on everything from academic mainframes to personal computers. But researchers and organizations may worry about capacity and the accessibility of compute power for those with limited or restrictive budgets. In this blog post, we explain how to implement Galaxy on the cloud at a predictable cost within your research or grant budget with Amazon Lightsail.

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Amazon Alexa helps deliver and expand patient care across Canada

Across Canada, hospitals, care providers, academic health sciences centers, and more are using accessible, scalable technology to support their staff and provide faster, better access to citizens in need of care. With Amazon Alexa, patients only need their voice to answer a few questions and get started towards healing.

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Analyze terabyte-scale geospatial datasets with Dask and Jupyter on AWS

Terabytes of Earth Observation (EO) data are collected each day, quickly leading to petabyte-scale datasets. By bringing these datasets to the cloud, users can use the compute and analytics resources of the cloud to reliably scale with growing needs. In this post, we show you how to set up a Pangeo solution with Kubernetes, Dask, and Jupyter notebooks step-by-step on Amazon Web Services (AWS), to automatically scale cloud compute resources and parallelize workloads across multiple Dask worker nodes.

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Introducing 10 minute cloud tutorials for research

Ten Minute Tutorials for Research provides a way for researchers to quickly learn about topics and tools that are specific to their unique needs, covering the basics on how to get started and providing helpful links to get more in-depth information and support—all in ten minutes. The series is led by AWS solutions architects and AWS research business development specialists who work closely with researchers. Many of the presenters are former researchers themselves and content is specifically geared to a research audience.

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UC Davis CWEE accelerates water conservation research with secure, compliant data storage on AWS

To solve some of the most pressing water and energy challenges, scientists and engineers need access to robust, reliable data that is often sensitive and protected. Data providers, researchers, and host institutions need to adhere to strict requirements for protecting and securing this data. The Center for Water-Energy Efficiency (CWEE) at the University of California, Davis (UC Davis) used AWS to create a centralized, secure data repository that streamlines data sharing.

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How to put a supercomputer in the hands of every scientist

The AWS Cloud gives you access to virtually unlimited infrastructure suitable for high performance computing (HPC) workloads. With HPC, you can remove long queues and waiting times so you don’t have to choose availability over performance. In this technical guide, learn how to use AWS ParallelCluster to set up and manage an HPC cluster in a flexible, elastic, and repeatable way.

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Environmental Problem Solvers: University of California Santa Barbara Builds Machine Learning Tool to Measure Chemical Impact

Currently, there are 150 million chemicals registered and managed by the American Chemical Society. Every day, 15,000 to 20,000 new chemicals are registered. These chemicals are present in everything from our household cleaning products to the food we eat. But how do these chemicals affect us? And how do they affect the environment? A research group at the Bren School of Environmental Science & Management at UC Santa Barbara, with funding from the Environmental Protection Agency (EPA), works to answer those questions for the masses with the Chemical Life Cycle Collaborative (CLiCC) tool.

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