News

We’re proud of what we’re doing over here at STRIDES and we love to share how it’s helping others. Read real-world examples to see how STRIDES participants are utilizing this initiative to further biomedical research.

The National Institute of Health's STRIDES Initiative wants to enable all researchers to share and use data in the cloud.

New NIH Data Policy Harnesses Cloud Efforts to Democratize Rising Data

December 28, 2022

The National Institute of Health’s STRIDES Initiative wants to enable all researchers to share and use data in the cloud.

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With supplemental funding from the NIH, a team of researchers, will collaborate with NIH and Google software engineers to build cloud-based learning modules for biomedical research.

Researchers Partner With NIH and Google to Develop AI Learning Modules

August 01, 2022

With supplemental funding from the NIH, a team of researchers, will collaborate with NIH and Google software engineers to build cloud-based learning modules for biomedical research.

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AI and ML have enabled tremendous advances in biomedical research and continue to shape the computational biomedical research landscape and NIH and many of the institutions it supports.

Introduction to AI/ML on Google Cloud

May 26, 2022

AI and ML have enabled tremendous advances in biomedical research and continue to shape the computational biomedical research landscape and NIH and many of the institutions it supports.

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Looking ahead, it’s clear hybrid work and cyber threats are here to stay making digital modernization more urgent now than ever before.

Cloud of the Future - Protecting Data in Post-Pandemic Era Workplace

April 26, 2022

Looking ahead, it’s clear hybrid work and cyber threats are here to stay making digital modernization more urgent now than ever before.

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Institutions will now be able to leverage the Internet2 NET+ AWS agreement to access AWS for both their enterprise and NIH-funded research needs as part of the STRIDES Initiative.

Internet2 Announces Availability of Collaborative Agreement With AWS for NIH Award Recipients

April 04, 2022

Institutions will now be able to leverage the Internet2 NET+ AWS agreement to access AWS for both their enterprise and NIH-funded research needs as part of the STRIDES Initiative.

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Analyses of the complete genome sequence will significantly add to our knowledge of chromosomes, including more accurate maps for five chromosome arms, which opens new lines of research.

Researchers generate the first complete, gapless sequence of a human genome

March 31, 2022

Analyses of the complete genome sequence will significantly add to our knowledge of chromosomes, including more accurate maps for five chromosome arms, which opens new lines of research.

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ElasticBLAST is perfect for you if you have thousands to millions of queries to our Basic Local Alignment Search Tool (BLAST®), or if you want to use cloud infrastructure for your searches.

Introducing ElasticBLAST – BLAST® is now easier, bigger, and faster on the Cloud!

March 23, 2022

ElasticBLAST is perfect for you if you have thousands to millions of queries to our Basic Local Alignment Search Tool (BLAST®), or if you want to use cloud infrastructure for your searches.

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The data-sharing policy could set a global standard for biomedical research, scientists say, but they have questions about logistics and equity.

NIH issues a seismic mandate — share data publicly

February 17, 2022

The data-sharing policy could set a global standard for biomedical research, scientists say, but they have questions about logistics and equity.

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As Covid took hold, a researcher scoured enormous genomic datasets for viral fingerprints, leveraging vast cloud resources and identifying over 130,000 previously unknown RNA viruses, including nine coronaviruses.

AWS-Powered Research Identifies New RNA Viruses

February 08, 2022

As Covid took hold, a researcher scoured enormous genomic datasets for viral fingerprints, leveraging vast cloud resources and identifying over 130,000 previously unknown RNA viruses, including nine coronaviruses.

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The Sequence Read Archive stores raw sequencing data and alignment information to enhance reproducibility and facilitate new discoveries through data analysis.

The Sequence Read Archive - A decade more of explosive growth

January 22, 2022

The Sequence Read Archive stores raw sequencing data and alignment information to enhance reproducibility and facilitate new discoveries through data analysis.

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By working with Google, NCI’s ISB has not only made data more useful to cancer researchers around the world, but also has fundamentally changed how cancer investigators conduct research.

National Cancer Institute's Institute for Systems Biology-Cancer Gateway

December 16, 2021

By working with Google, NCI’s ISB has not only made data more useful to cancer researchers around the world, but also has fundamentally changed how cancer investigators conduct research.

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Working with AWS, Google Cloud and Microsoft Azure means interoperability is important but difficult. We’re going to go FAR before we go FAIR - Findable, Accessible, Interoperable and Reusable

Going FAR before going FAIR

October 28, 2021

Working with AWS, Google Cloud and Microsoft Azure means interoperability is important but difficult. We’re going to go FAR before we go FAIR - Findable, Accessible, Interoperable and Reusable

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Raw imaging data paired with powerful computational tools and techniques available in the cloud allow for 3D models that help researchers at the NIH identify abnormalities that indicate diseases.

NIH Advanced Imaging and Microscopy Resource Explores Cloud for Imaging Research

October 13, 2021

Raw imaging data paired with powerful computational tools and techniques available in the cloud allow for 3D models that help researchers at the NIH identify abnormalities that indicate diseases.

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Microsoft Azure has joined the National Institutes of Health’s Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative as the newest cloud service provider to support biomedical research.

NIH expands biomedical research in the cloud with Microsoft Azure

July 21, 2021

Microsoft Azure has joined the National Institutes of Health’s Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative as the newest cloud service provider to support biomedical research.

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This study presents an analysis of the complexity, cost, and best practices for executing the core components of BLAST runs in the cloud.

NCBI's Computational Biology Experiments - Complexity, Best Practices, and Cost

January 29, 2021

This study presents an analysis of the complexity, cost, and best practices for executing the core components of BLAST runs in the cloud.

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Journey to the Cloud to Support Biomedical Research. In 2019, the team began leveraging the STRIDES Initiative to access cost-effective cloud services, computation and analysis tools, and technical support offered by commercial providers.

Expanding Access to TOPMed Genomics Data Through Cloud Services

October 08, 2020

Journey to the Cloud to Support Biomedical Research. In 2019, the team began leveraging the STRIDES Initiative to access cost-effective cloud services, computation and analysis tools, and technical support offered by commercial providers.

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A wealth of viral data sits untapped in publicly available metagenomic data sets when it might be extracted to create a usable index for the virological research community.

NCBI’s Virus Discovery Hackathon

September 26, 2019

A wealth of viral data sits untapped in publicly available metagenomic data sets when it might be extracted to create a usable index for the virological research community.

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The JHU BIOS Division has been working on medical imaging to enable faster and more accurate decision-making for brain injury patients.

Johns Hopkins University BIOS Division - Advancing intracerebral hemorrhage treatments through AI

July 01, 2019

The JHU BIOS Division has been working on medical imaging to enable faster and more accurate decision-making for brain injury patients.

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