Facilitates efficient storage, high-performance, scalable analysis and AI of large genomic data sets.

• Compact and cost efficient storing enabled by data compression
• Highly scalable data management, from study to population scale datasets
• High-performance analysis distributed to 100’s-1000’s of calculation nodes, leading to faster query times, in seconds and minutes
• Advanced querying possible through integrated annotation databases
• Annotation databases can be used for search space reduction in AI/ML applications, and any custom and commercial annotation databases are easy to add
• Extensive set of importer and exporter tools for genomic filetypes (VCF, Plink etc.) to simplify data processing
• Interoperability supports cloud or on-prem solutions, no lock-in effect for one vendor, customization & optimization, integration with other existing systems and custom workflows

Allows researchers to derive insights from multiple datasets and locations in a secure manner, without individual level data leaving its original location.

• A highly secure, proxied and logged data exchange layer for exchanging information between orchestration and data source layers
• Only anonymous, aggregate (GDPR ‘non-personal’) data leaves the server, ensuring patients’ privacy
• Only the parameters of the analysis workflows and methods, not actual workflows, are delivered to data hosting sites containing pseudonymized information classified as personal data in GDPR. All workflows that can be executed are pre-approved by data custodians in order to guarantee data privacy

Secure Data Environments (SDEs), also known as ‘Data Safe Heavens’ or ‘Trusted Research Environments’ (TREs), stand for robust platforms facilitating secure access to health data for authorized users, particularly researchers. These environments provide meticulous control to overseeing organizations, enabling the specification of user permissions, defining accessible datasets, regulating user activities, and overseeing the removal of analysis findings. Crucially, SDEs play a pivotal role in balancing the imperative of collaborative research with the need to manage sensitive patient data responsibly.

BC Platforms adheres to the highest global standards of data privacy and security (ISO 27001, ISO 27701, GDPR, UK and Singapore GDPR, Swiss Federal Act on Data Protection, HIPAA, EU Digital Services Act) while continually working to align to changing and emerging regulatory frameworks.

• We provide Offline On-Premise Environments to full scale Cloud Deployments, and mixed deployments
• Cloud Deployments are supported across AWS, Microsoft Azure and Google Cloud Platform. Other cloud providers can be supported on demand
• All BC Platforms solutions support deployment using the latest Kubernetes containerised architecture
• We use and support the Kubernetes cluster service on all major cloud providers. In addition, we have deployed our technology on the Kubernetes environments of major national high performance computer environments
• We also provide support when clients require the installation of our solution on-premise, including on both physical and virtualized servers within their own data center and behind their firewalls. We recommend the use of K3S in these circumstances and offer a training service for anyone new to K3S deployments