Sold by: QyrosCloud
Qyros ResearchFlow™ is a turnkey, research-optimized solution that accelerates bioinformatics, genomics, and scientific computing workflows on AWS. Built on AWS-native services like Batch, ParallelCluster, and SageMaker, it enables secure, scalable, and HIPAA-ready environments for complex research and data analysis with full automation and cost optimization.
Overview
Qyros ResearchFlow™ is a comprehensive orchestration and automation framework designed to simplify and accelerate research computing on AWS. It supports a wide range of workloads — from genomics and drug discovery to computational biology and large-scale simulations — using modern workflow engines such as Nextflow and Slurm, integrated with AWS Batch, ParallelCluster, Lambda, Step Functions, and SageMaker.
Each deployment is built following the AWS Well-Architected Framework and is HIPAA-ready, ensuring compliance, security, and data integrity across the research lifecycle. Qyros ResearchFlow™ leverages Infrastructure as Code (CloudFormation, CDK) to provide fully reproducible environments, with automated scaling using Spot Instances, GPUs, and Fargate for containerized tasks.
By unifying compute, data, and orchestration under a single, automated platform, Qyros ResearchFlow™ helps organizations accelerate discovery, reduce operational complexity, and optimize costs while maintaining compliance and scientific reproducibility.
This solution integrates with AWS services including:
AWS Batch, Amazon ECS, AWS Fargate, and AWS ParallelCluster for compute orchestration AWS Lambda and AWS Step Functions for asynchronous and event-driven workflows Amazon SageMaker for AI/ML-driven data analysis Amazon S3, FSx for Lustre, and AWS HealthOmics for data management and genomics processing AWS CloudFormation and AWS Config for automation, governance, and compliance
Highlights
- • Accelerate Research & Bioinformatics Workflows Run complex genomics, bioinformatics, and computational research pipelines using Nextflow and Slurm on AWS Batch, ParallelCluster, and SageMaker — all deployed through automated CloudFormation templates.
- • Secure, Compliant, and Well-Architected Deploy HIPAA-ready, encrypted, and Well-Architected environments that meet security and compliance best practices while maintaining data confidentiality and integrity.
- • Optimize Cost and Performance at Scale Leverage GPU acceleration, Spot Instances, and serverless orchestration to scale research workloads efficiently while minimizing costs and maximizing throughput.
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