Streamline and accelerate analysis of genomic data with access to best-in-class tools available to scale on-demand with AWS for Genomics.
AWS HealthOmics Ready2Run Workflows
Transform genomic and biological data into insights
Automate and Accelerate Secondary Analysis
To help genomics organizations optimize workflows and reduce analysis time, AWS for Genomics offers a variety of AWS and AWS Partner workflow automation and secondary analysis solutions and services. Managed services like AWS HealthOmics provide fully managed bioinformatics compute.
Genomics secondary analysis use cases
Workflow automation
Running genomics workflows requires manual provisioning and configurations. Workflow automation and orchestration tools from AWS, AWS Partners, and the open-source community can help accelerate research and scale compute capabilities. Managed services like AWS HealthOmics provide fully managed bioinformatics compute — simply bring your data, tools, and workflow definition, then run your genomics analyses with just a few clicks. Go to Solutions Library.
AWS solutions
Solution: Automate genomic workflows on AWS with Amazon Genomics CLI
Amazon Genomics CLI is an open source tool that provides an easy-to-use command line interface to quickly setup and run genomics workflows on AWS, enabling faster and more cost-effective population-level genetics studies, drug discovery cycles, and more.
Solution: Genomics Secondary Analysis Using AWS Step Functions and AWS Batch
The Genomics Secondary Analysis Using AWS Step Functions and AWS Batch solution creates a scalable environment in AWS to develop, build, deploy, and run genomics secondary analysis pipelines, for example, processing raw whole genome sequences into variant calls.
Featured customers
With AWS, the Fred Hutch Microbiome Research Initiative reduces 7 years of compute time to 7 days with AWS.
Gritstone Oncology uses AWS and a Nextflow-driven shared job queue to dispatch jobs and handle data flow.
Helix uses BaseSpace Sequence Hub, a genomic data analysis platform from Illumina, to power its work.
Featured partner solutions
"Top diagnostics and biopharma companies leverage DNAnexus on AWS to automate recurrent data intensive tasks for speed and accuracy. As a result, these companies achieve dramatic reduction in their R&D, speeding up pipeline development from weeks to hours."
"Seqera Labs and AWS have collaborated to ensure that AWS is the environment of choice for life science workloads. Nextflow and Nextflow Tower are seamlessly integrated into AWS Batch for elastic compute, EKS for seamless deployment, and AWS file and object storage services for cost-effective and performant data storage."
"The Seven Bridges platform and Seven Bridges analysis tools such as GRAF™ and ARIA™ rely on the flexibility and scalability of AWS to enable researchers to take advantage of massive repositories of genomic and phenotypic data — which have the potential to reveal transformative insights into the underpinnings of disease, novel therapeutic approaches and in silico disease models."
Featured consulting partners
The DRAGEN Bio-IT Platform by Illumina enables ultra-rapid analysis of Next Generation Sequencing (NGS) data for large data sets, such as whole genomes, exomes, and genes/panels. The analysis includes mapping, aligning, sorting, duplicate marking, small variant calling, and more.
Secondary analysis
As adoption of genomics continues to accelerate, secondary analysis is often cited as a constraint. To accelerate analysis and keep pace with increasing demand, genomics organizations leverage the scalability and cost efficiency of AWS.
AWS solutions
Service: AWS HealthOmics for fully-managed bioinformatics compute
AWS HealthOmics supports large scale analysis and collaborative research across entire populations with purpose-built data stores, transforming raw genomic and biological data into patient level and population health insights.
Solution: DRAGEN on AWS
Illumina's Dynamic Read Analysis for Genomics (DRAGEN) on AWS enables ultra-rapid analysis of next-generation sequencing data.
Solution: Genomics Secondary Analysis Using AWS Step Functions and AWS Batch
The Genomics Secondary Analysis Using AWS Step Functions and AWS Batch solution creates a scalable environment in AWS to develop, build, deploy, and run genomics secondary analysis pipelines, for example, processing raw whole genome sequences into variant calls.
Featured customers
The DRAGEN Bio-IT platform by Illumina provides accurate, ultra-rapid secondary analysis results. Customers can power and dramatically accelerate their analyses with DRAGEN running on Amazon EC2 F1 instances.
With AWS, Munich Leukemia Lab reduces the turnaround time to process patient genome data from 20 hours to 3 hours, helping accelerate research and improve diagnosis of leukemia.
Ancestry relies on Amazon EFS to enable multiple scientists to perform genomics research, scale compute and storage up or down, and onboard scientists faster.
Featured partner solutions
"Accuracy and speed are essential to unlocking the power of the human genome. The DRAGEN Bio-IT platform by Illumina, provides accurate, ultra-rapid secondary analysis results. Customers can power and dramatically accelerate their analyses with DRAGEN running on AWS. "
"NVIDIA Clara Parabricks Pipelines is a GPU-accelerated compute framework, supporting genomic applications that span DNA to RNA. The acceleration of Parabricks coupled to the scalability of AWS is powering the genomics industry to perform projects faster, more cost effectively, and letting researchers identify more genetic variants in their data."
"The Seven Bridges platform and Seven Bridges analysis tools such as GRAF™ and ARIA™ rely on the flexibility and scalability of AWS to enable researchers to take advantage of massive repositories of genomic and phenotypic data — which have the potential to reveal transformative insights into the underpinnings of disease, novel therapeutic approaches and in silico disease models."
Featured consulting partners
Featured resource
Optimizing Secondary Analysis Compute Costs
Learn how to optimize secondary analysis compute costs using Amazon Elastic Compute Cloud (EC2), spot instances, and AWS Batch.
