Category: AWS HealthOmics

The genomic research landscape is evolving at an unprecedented pace, demanding robust and scalable solutions for data storage and analysis. In collaboration, MGI, Sentieon, and Amazon Web Services (AWS) provide capabilities to help with genomic research. Researchers and clinicians can now fully capitalize on the capabilities of MGI’s sequencing technologies by utilizing AWS HealthOmics and […]

Understanding genomic variation across populations is critical for advancing precision medicine and evolutionary research, but analyzing large datasets can be complex and resource intensive. Amazon Web Services (AWS) provides scalable tools to simplify this process enabling efficient and insightful analysis across diverse genetic data. Introduction The 1000 Genomes Project is a landmark international research initiative […]

Figure 1 Discovering new life-changing therapies has never been more urgent, yet the drug discovery process remains a complex and time-consuming endeavor. To accelerate breakthroughs, leading biotech and biopharma companies are turning to Biological Foundation Models (BioFMs), a type of advanced generative AI models trained on biological data. We are excited to announce that NVIDIA’s […]

Today, AWS is excited to announce a collaboration with EvolutionaryScale to bring their new frontier language models for biology to scientists and researchers advancing applications from drug discovery to carbon capture, and more. With this announcement, we are making EvolutionaryScale’s ESM3, a frontier, state-of-the-art language model family, available on AWS. This collaboration brings the best […]

In the rapidly evolving field of bioinformatics, transitioning from on-prem high-performance computing (HPC) environments, like Slurm, to cloud-based solutions, like AWS HealthOmics, presents opportunities to reinvent for scale, speed, and cost. Jeff Lee is Associate Director of R&D Cloud Architecture at Takeda Pharmaceuticals, a patient-focused, R&D driven biopharmaceutical organization founded in 1781. In this blog post, […]

Analyzing large-scale genomic variant data just got easier with the latest release of Amazon EMR and its integration with AWS HealthOmics. HealthOmics Analytics provides tabular access to genetic variant data sets and annotations, empowering researchers and data scientists to uncover valuable insights through Amazon Athena queries and now Amazon EMR jobs. While Amazon Athena excels […]

In this blog, you’ll discover how to harness the power of serverless computing to streamline genomics analysis workflows, enabling faster insights. By leveraging AWS Step Functions, AWS Lambda, and AWS HealthOmics, you can parallelize and modularize resource-intensive genomics pipelines. This approach enhances efficiency, scalability, and cost optimization, empowering businesses and researchers to accelerate time-to-insight. The […]

Introduction Advancements in next-generation sequencing (NGS) technology have created new opportunities for omics data analysis, unlocking valuable insights for precision medicine, clinical diagnostics, and drug discovery. To keep pace with this high-throughput technology and handle the fluctuations in data volume, healthcare and life sciences (HCLS) customers seek a secure, reliable, and scalable environment for data […]

From population sequencing, to drug discovery, to diagnostics research, omics data is driving a deeper understanding and personalization in how healthcare is delivered. While the value of multi-omics data is understood, our healthcare and life sciences (HCLS) customers want better tools to get started, build applications, and scale up analyses that will help lower costs […]

As a gold sponsor of the Bio-IT World Conference and Expo 2024 in Boston from April 15-17, the AWS Genomics team is excited to showcase how AWS HealthOmics, our purpose-built service used to transform omics data into insights, is transforming research and accelerating the future of precision medicine. This premier event brings together a global […]