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Secondary analysis solutions

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

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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.

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.

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AWS Marketplace

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.

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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.

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AWS Marketplace

Analyze your whole genome, exome, and panel next generation sequencing data quickly with high accuracy using GPU-accelerated NVIDIA Clara Parabricks for genomic analysis on AWS. Clara Parabricks on AWS brings a suite of purpose-built tools to support end-to-end genomics workflows, improving data liquidity, security and analytical bottlenecks. The acceleration of Parabricks coupled with the scalability of AWS is helping scientists reduce analysis cost, deliver faster time to results, and scale data processing.
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