Bio-IT & software
Cloud & HPC Infrastructure for Genomics
We design and set up computing environments for genomics teams that have outgrown a single server: cloud batch infrastructure for Nextflow pipelines, storage tiers, access control and cost monitoring, documented so your team can run it.
Who it is for
- Genomics labs and start-ups moving to the cloud
- Core facilities modernising their compute
- Diagnostics and research teams with sensitive data
What you send us
- WorkloadsPipelines, sample volumes, data sizes and turnaround needs.
- ConstraintsBudget, data-residency and security requirements, existing accounts.
What you receive
- Infrastructure-as-code repository
- Configured pipelines with test runs
- Cost and performance report
- Runbooks and team training
Methodology
How the work runs
Each step is agreed with you and documented. Typical tools: AWS · Google Cloud · Azure · Terraform · Nextflow · Slurm
- AssessmentWorkloads, costs and constraints, with a written architecture proposal.
- BuildInfrastructure as code, storage, batch compute and pipeline configuration.
- ValidationBenchmark runs with cost and runtime reports.
- Hand-overRunbooks, training for your team and an agreed support period.
Quality controls
Checks applied to every project
- Benchmark runs compared with expected outputs
- Least-privilege access and encryption reviewed
- Budget alerts and cost reports configured
Scope and limits
What the work can and cannot show
- Engagements are scoped individually; availability is confirmed with each enquiry.
- Cloud provider charges are billed by the provider to your account.
Free quote
Start a Cloud project.
Describe your data and questions. We reply with questions or a written quote.
It depends on the data type, the number of samples and the depth of interpretation you need. Every project receives a written quote with scope, deliverables, price and delivery date after a short exchange about your data and questions. The quote is free and carries no obligation.
Data are used only for your project, transferred through a channel you approve and deleted at the end of the engagement on request. We will sign your institution’s confidentiality agreement before any data are shared.
No. Infrastructure runs in your own cloud account, so you keep control of data and billing.
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