Overview
BioTeam provides a comprehensive framework for research organizations to transition from fragmented, on-premises analysis to high-performance, cloud-optimized environments. Recognizing that existing bioinformatics workflows often require significant standardization to thrive in the cloud, our team works directly with researchers to refactor and migrate complex pipelines, including those for variant analysis and functional annotation.
Use cases
High Throughput Modeling and Screening
Modern drug discovery requires screening millions of compounds and modeling complex biological interactions at scale. This use case is vital for customers replacing brittle on-premises infrastructure. By automating high-throughput pipelines and reducing bottlenecks, organizations drastically reduce time-to-solution, enabling faster, more cost-effective identification of therapies.
Research Data Management
As multi-omics datasets reach petabyte scale, maintaining data integrity and provenance becomes a critical bottleneck. This use case addresses the industry’s need for standardized, cloud-native environments that ensure every analysis is reproducible and compliant. By centralizing pipeline data on AWS, clients eliminate silos and create a robust data foundation required for downstream AI and machine learning initiatives.
Patient Outcome Prediction
Predicting patient outcomes requires the seamless integration of massive genomic datasets with clinical records. Our solution ensures that diverse longitudinal patient data is migration-ready and structurally optimized, allowing researchers to rapidly identify disease markers and risk factors. Removing data silos that delay analysis enables the transition from raw biological data to precise, data-driven insights that improve the accuracy of clinical decision-making and personalized care.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Products included
Features and programs
Financing for AWS Marketplace purchases
Pricing
Custom pricing options
Integration guide
Our solution integrates seamlessly with state-of-the-art workflow engines, allowing researchers to run legacy pipelines without abandoning familiar tools. We use an event-driven centralized data lake to automate pipeline triggers upon data upload. Furthermore, we integrate multi-omics data with downstream analysis tools for complex variant querying and machine learning.