VarSeq runs as either an enterprise server platform accessed through a web browser, or as a standalone desktop application. Choose your deployment below to see the relevant hardware requirements.
The enterprise server platform runs VarSeq in web app streaming mode — users access the full application through their browser with no desktop installation needed.
VarSeq as a standalone desktop application for individual analysts. VarSeq can also connect to an on-premises VSWarehouse for shared configuration, resources, and licensing.
Enterprise Platform
The enterprise platform runs VarSeq in web app streaming mode — users access the full application through their browser. The server uses a Podman-based containerized architecture and runs exclusively on Linux. Additional machines called agents can be connected to run VarSeq sessions and automated analysis workflows, scaling capacity on demand.
Separate from system SSD. NFS/SMB network-attached storage recommended.
3 users × exome (8 cores + 16 GB per user) + 8 cores / 16 GB base server overhead.
All services on one machine
Dedicated agent servers for additional capacity
Pre-configured Terraform-based scripts handle all infrastructure provisioning. Dynamic agent VMs scale automatically to match demand.
With permissions to provision VMs, networking, and storage
Choose a region close to your users for low latency
Request a vCPU quota increase in your chosen region for dynamic agent scaling
AWS: On-demand standard instances (8 vCPU base + dynamic agents). Azure: DSv5 (8 vCPU base), BS + FSv2 families (dynamic agents).
Intelligent-tiered cloud storage is configured and mounted to the server for FASTQs, BAMs, VCFs, and other workflow inputs. No upfront limit — you pay only for storage used per month.
Data automatically transitions to cheaper tiers based on access frequency.
Estimate monthly cloud deployment costs based on your planned sample throughput.
Standalone desktop application for individual analysts. Resource requirements scale with the size of your analysis targets. VarSeq can also connect to an on-premises VSWarehouse for shared configuration, resources, and licensing.
When running VarSeq on a shared server with multi-user access (via Remote Desktop or SSH with X11 forwarding), multiply the per-user resource recommendations above by the number of concurrent users. For example, four concurrent exome analysts would need at least 64 GB RAM and 32 cores. Each user should have a separate OS login for a dedicated session.
VarSeq requires outbound HTTP/HTTPS access for annotation downloads and license validation. Proxy server configuration (SOCKS5 or HTTP/HTTPS tunneling) is supported. Organizations with strict firewall policies may need to whitelist Golden Helix server addresses.
Full hardware specifications, OS compatibility details, proxy configuration, and firewall whitelisting addresses.
Our technical team can help you plan hardware specifications, review your infrastructure, or walk through deployment options.