Multi-Omics Research Architecture for Integrated Tertiary Analysis

BioTeam’s provides services to design and implement scalable data lakes that support petabyte-scale storage and fast querying across multi-omics data types, breaking down silos and enabling integrated analysis. Our solutions are tailored to research organizations and combine optimized data pipelines (via AWS Glue), hands-on analysis environments (via SageMaker, Jupyter, and Amazon Athena), and support for HPC compute services like AWS HealthOmics, Batch, and ParallelCluster. We can also help organizations implement standardized workflows that follow software development and data analytics best practices to promote reproducibility and enable collaboration. Our approach results in streamlined research environments that accelerate discovery and scale with evolving data.

BioTeam provides a unified foundation for scalable, secure, reproducible research, empowering scientists and enabling comprehensive, integrated multi-omics analysis. BioTeam designs and implements secure, petabyte-scale data lakes within AWS, primarily leveraging Amazon S3 for robust, cost-effective storage and Amazon Athena for fast querying. This feature directly addresses the challenge of fragmented and diverse data types by centralizing genomics, proteomics, and other omics data. By breaking down data silos, it enables integrated tertiary analysis, allowing researchers to efficiently query and analyze large datasets without manual data preparation bottlenecks, accelerating discovery and insight generation.

This solution integrates and optimizes data pipelines using AWS Glue for seamless data transformation and powerful, interactive analysis environments via Amazon SageMaker, Jupyter, and Amazon Athena. This addresses the challenge of inconsistent workflows and underpowered tools, ensuring high performance and scalability. Researchers can now focus on scientific discovery rather than data management and collaborative teamwork across the entire research lifecycle.