Tag: genomics

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, […]

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 […]

Although genomics workflow languages are designed to improve the portability and reproducibility of analyses, the migration of workflows from one runtime environment to another can be challenging if the workflow makes strong assumptions about that environment. Here we present two customer-tested tools that help detect workflow issues and accelerate the migration of resources to smooth the […]

Companies across industries are increasingly seeking ways to complement their first-party data to build a holistic view of their customers or business. This often means developing a view across channels and engagements, as well as complementing their first-party data with their business partners’ data. This need for data collaboration spans company size, geography, and industry. […]

In this blog, we show how you can leverage AWS purpose-built health care and life sciences (HCLS), machine learning (ML), and analytics services to simplify storage and analysis across genomic, health records, and medical imaging data for precision health use cases. The included reference architecture is built on AWS HealthOmics, AWS HealthImaging, and AWS HealthLake services which enable you […]

AWS HealthOmics is a HIPAA-eligible AWS service and provides fully-managed compute that helps customers process genomic, proteomic, and other varieties of -omic data securely and at scale in AWS. It supports common workflow definition languages—including WDL, Nextflow, and CWL—and secure access to data stored in Amazon S3 and AWS HealthOmics Storage. In this blog post, we cover […]

From oncology research to drug discovery to point of care, the unified analysis of various forms of omics data is helping researchers and clinicians generate new insights and offer more personalized care. While the value of multi-omics is apparent, our healthcare and life sciences customers want better tools to get started, build applications, and scale up […]

Blog is guest authored by Don Freed and Brendan Gallagher from Sentieon. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. Since 2014, AWS Partner Sentieon has been focused on developing highly-optimized algorithms for bioinformatics […]

Blog is guest authored by Maxim Mass, Rosi Bajari, and Bryan Lajoie from Element Biosciences. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. Last year, Element Biosciences launched the AVITI benchtop sequencing instrument to […]

Blog is guest authored by Harry Clifford from NVIDIA. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. As the cost of sequencing a human genome continues to decrease, the volume of sequencing data is […]