DataHelix
Bioinformatics strategy & planning
The approach
A shopping list is not a strategy.
We plan analysis methods, data workflows, computing, and team skills around your project. You get a practical roadmap grounded in your scientific goals, existing systems, and available budget.
The work
What we work through
- Requirements first: Research goals, sample types, data volumes, quality criteria, and resource limits.
- The whole workflow: Sample handling, metadata, analysis, and reporting, with clear responsibilities at each step.
- Technology choices: Sequencing platforms, analysis tools, storage, and computing matched to your applications.
- People and operations: Training needs, hiring priorities, operating procedures, and a phased implementation plan.
Under the hood
Technologies & methods
- Sequencing: Short-read and long-read options assessed against the biological question and budget.
- Infrastructure: Cloud, on-premises, and hybrid architectures, with cost models, backups, and access controls.
- Quality and governance: QC protocols, SOPs, validation planning, and technical requirements for relevant regulatory frameworks.
- Resources and risk: Budget allocation, external partnerships, and contingency planning.
Make the next decision with a plan.
Tell us what you want to build, what is already in place, and which decisions need a second pair of eyes.
Discuss your strategy