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    Data Migration and Storage Built for Cloud-Optimized Genomic Workflows

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    Sold by: BioTeam 
    Multi-product
    BioTeam accelerates scientific discovery by modernizing legacy research workflows into scalable, cloud-native pipelines. We bridge the gap between complex biological data and actionable insights by providing expert refactoring and automation that ensures elastic scaling, full data provenance, and reproducible results. Our solution empowers research organizations to handle massive genomic datasets with increased speed and reliability while maintaining strict operational control.

    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

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    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Products included

    Efficient, scalable genomic data transfer and storage to accelerate cloud-optimized workflows to reduce infrastructure complexity.
    BioTeam designs and builds scalable, cloud-optimized pipelines that enable efficient, reproducible research workflows for handling complex multi-omics data.

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. Request a private offer to receive a custom quote.

    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.

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