Transforming Genomic Data Processing and Storage
VE3 offers a state-of-the-art accelerator solution tailored to optimize genomic data processing and storage across AWS, GCP, and Azure. Our solution utilizes advanced tools and services designed for genomics data analysis and Next-Generation Sequencing (NGS) workflows, ensuring high performance, scalability, and compliance with industry standards.
VE3’s Genomics Accelerator Solution provides a comprehensive suite of tools and services designed to optimize your genomic data processing and storage across all major cloud platforms: AWS, GCP, and Azure. Our solution leverages cutting-edge technologies and industry-standard bioinformatics tools to deliver:
Benefits of VE3 Genomics Accelerator Solution
High Performance and Scalability
High-performance computing environments tailored to bioinformatics workflows with elastic scaling for efficiency and cost-effectiveness.
Advanced Analytics
Real-time data processing tools and advanced machine learning integration for enhanced data analysis and interpretation.
Security and Compliance
Zero trust architecture, advanced encryption, and adherence to HIPAA, GDPR, and ISO standards.
Comprehensive Support and Maintenance
24/7 technical support and regular feature enhancements and updates.
Faster Time to Insights
Analyze your data quicker with high-performance computing and optimized workflows.
Reduced Costs
Eliminate the need for upfront infrastructure investment and benefit from the cloud's pay-as-you-go model.
Enhanced Collaboration
Facilitate collaboration across teams and institutions with secure cloud-based data storage and access.
Focus on Research
Free yourself from managing infrastructure and focus on what matters most - groundbreaking discoveries.
VE3 Genomics Solutions
Comprehensive Solutions for Genomic Excellence
High-Performance Computing (HPC)
Customizable Resources
Allocate CPU, memory, and storage to perfectly match your workload demands for optimal speed and cost-efficiency.
Elastic Scaling
Seamlessly scale resources up or down based on fluctuating workloads, ensuring peak performance without ever overpaying.
Optimized Workflows
Integrate industry-standard bioinformatics tools and pipelines (WDL, Cromwell, Nextflow, Snakemake, Galaxy) to streamline analysis and accelerate research.
Managed Cloud Infrastructure
Let our experts handle the setup, configuration, and maintenance of your cloud environment, freeing you to focus on research.
Advanced Data Processing and Storage
Comprehensive File Support
Effortlessly work with all major NGS file formats (BCL, FASTQ, BAM, VCF, BED, and more) for seamless analysis.
Scalable Storage Solutions
Securely store and easily access your growing genomic datasets using industry-leading cloud storage options like Amazon S3, Google Cloud Storage, or Azure Data Lake Storage.
Efficient Data Management
Automate data ingestion, preprocessing, and analysis workflows for increased accuracy and researcher productivity.
Customizable Pipelines
We tailor bioinformatics workflows to your specific needs, ensuring optimal efficiency and accuracy.
Cloud-Specific Advantages
Amazon Genomics CLI: Simplifies the setup and management of genomics workflows.
AWS Batch: Facilitates large-scale genomic data processing through batch computing jobs.
AWS Lambda: Provides serverless compute capabilities for event-driven genomic data processing tasks.
Amazon S3: Scalable storage for NGS data, integrated with other AWS services for comprehensive data analysis.
AWS Glue: Managed ETL service to prepare and transform genomic data for analysis.
Google DeepVariant: Deep learning-based variant caller optimized for GCP.
Google Genomics: Comprehensive tools for storing, processing, and analyzing genomics data.
Google Cloud Dataflow: Managed service for stream and batch processing of large genomic datasets.
Google Cloud Life Sciences API: Suite of tools for running and managing genomic workflows in the cloud.
Google BigQuery: Scalable data warehouse designed for large-scale genomic data analysis.
Azure Genomics: Tailored services and solutions for NGS data analysis.
Azure Batch: Supports large-scale parallel and high-performance computing tasks for genomic data.
Azure Data Lake Storage: Scalable storage solution for big data analytics, including genomic data.
Azure Machine Learning: Tools to build, train, and deploy machine learning models for genomic data analysis.
Azure Databricks: Apache Spark-based analytics platform optimized for Azure, suitable for large genomic datasets.
Cross-Platform Tools
Nextflow
Workflow manager supporting Docker and Singularity for reproducible pipelines on AWS, GCP, and Azure.
Cromwell/WDL
Workflow management system from the Broad Institute, compatible with multiple cloud platforms.
Snakemake
Workflow management system supporting integration with Kubernetes for containerized workflows on any cloud platform.
Galaxy
Open-source platform for data-intensive biomedical research, deployable on AWS, GCP,
and Azure.
VE3 Success Stories in Genomic Research
Read our comprehensive genomic data case studies that has transformed data processing and storage capabilities.
Case Studies
VE3 Enables High-Performance Cloud-Based Research Platform on AWS
Scaling Genomics Research
Insights
As the field of genomics continues to expand, managing the vast and complex data generated by genetic research has become increasingly challenging. Explores these challenges and showcases how VE3’s innovative Genomic Data Management Solution is empowering research institutions and healthcare providers to overcome them. From scalable data storage and integration to advanced analytics and secure data sharing, learn how our solution is driving significant advancements in genomic research and enabling the development of personalized healthcare treatments.
