Category: Life Sciences

AstraZeneca’s genomic research requires extensive computational resources to analyze DNA sequences for developing life-saving therapies. As cloud infrastructure evolves with more powerful capabilities, customers can adopt them to see performance and efficiency gains. AstraZeneca successfully migrated to Amazon EC2 F2 instances for genomics, boosting performance by 60% and slashing costs by 70%.

Are you running genomic workflows with Nextflow on AWS Batch and experiencing bottlenecks when staging large reference files? In this post, we will show you how to optimize your workflow performance by leveraging Mountpoint for Amazon S3 to stream reference data directly into your Nextflow processes, eliminating the need to stage large static files repeatedly.

Proteros is a leader in structure-based drug discovery solutions, and supports pharmaceutical, biotechnological, and academic clients with advanced technologies like Cryogenic Electron Microscopy (Cryo-EM) and Protein Crystallography (PX). In this blog post, we’ll explore how Proteros implemented an HPC solution that scales with their scientific ambitions. We’ll talk about how they started with a secure […]

This blog was co-authored by Takehiro Nakajima and Mark Azadpour from AWS and Rintaro Yamada, Rei Kajitani and Ryo Kunimoto from Daiichi Sankyo In recent years, the informatics field of drug discovery has seen a rapid increase in workloads requiring large-scale parallel computing, such as genome analysis, structure prediction, and drug design. Daiichi Sankyo has […]

AWS re:Invent 2025 returns to Las Vegas, Nevada on December 1, uniting AWS builders, customers, partners, and IT professionals from across the globe. This year’s event offers you exclusive access to compelling customer stories and insights from AWS leadership as they tackle today’s most critical challenges in high-performance computing, from accelerating scientific discovery to optimizing […]

Streamline your genomic and multiomic data analysis with DRAGEN on Amazon EC2 F2 instances. Our latest blog post explores the performance benefits of this hardware-accelerated solution, helping you unlock insights faster.

In this blog post, we’re excited to share how Novo Nordisk, Columbia University and AWS collaborated to create OpenFold3, a state-of-the-art protein structure prediction model, using cost-effective and scalable bioinformatics solutions on AWS.

In the race to deliver precision medicine, time is of the essence. Caris Life Sciences, a pioneer in this field, leveraged AWS Batch to build a highly scalable solution that processed hundreds of thousands of genomic samples in record time. Discover how they achieved this remarkable feat and the key services that powered their breakthrough.

Cryo-EM data processing just got a major boost! Learn how AWS Parallel Computing Service can help structural biology teams scale their HPC infrastructure and streamline Cryo-EM research. Discover a recommended reference architecture that leverages the power of the cloud.

Genomics community: rejoice! Seqera and AWS have teamed up to announce Seqera Containers, an open-source, no cost, reliable way to generate containers.