Workflow platforms
Nextflow, WDL, Terra, Manifold, cloud infrastructure, and on-premises integration.
Systems
Technology infrastructure that turns genomic data into defensible answers.
Theiagen builds workflows, pipelines, and data infrastructure around your existing environment rather than asking you to start over.
Systems
Theiagen builds workflows, pipelines, and data infrastructure around your existing environment rather than asking you to start over.
NGS pipeline automation
Automated, reproducible pipelines that improve throughput, reduce errors, and support program sustainability.
Genomics data management
Configuration, QC frameworks, reporting structures, and collaboration environments that support operational use.
Who this helps
Systems work is for teams that need genomic analysis to be repeatable, auditable, scalable, and maintainable.
Bioinformatics leads
When pipelines, versions, QC, and handoffs need a cleaner operating model.
IT and cloud teams
When workflow execution must fit security, infrastructure, cost, and collaboration constraints.
Program managers
When a genomic capability needs to keep working across staff, sites, and changing demand.
Operational use cases
Systems applications focus on making genomic work repeatable, auditable, and usable across teams and environments.
| System need | Operational outcome |
|---|---|
| Pipeline deployment | Nextflow, WDL, Terra, Manifold, cloud, or on-premises workflows move into reliable use |
| Quality and auditability | QC gates, reporting patterns, versioning, and reproducible analysis records become visible |
| Data operations | Sample metadata, result handoff, NCBI submission support, and dashboards fit the program |
| Program scale | Multi-user, multi-lab, or multi-jurisdiction analysis environments become manageable |
| Workflow maintenance | Updates, validation support, and continuity are planned as pathogens or platforms change |
Frequently Asked Questions
What is NGS pipeline automation?
NGS pipeline automation uses reproducible workflows to process sequencing data with less manual handling, clearer quality gates, and a more dependable record of how results were produced.
How do WDL, Nextflow, and Terra fit into a workflow program?
WDL and Nextflow describe and execute analytical workflows, while platforms such as Terra provide managed execution and data environments. The right combination depends on the organization’s infrastructure, users, and operating requirements.
How do workflow systems support reproducibility?
Versioned workflows, defined inputs and outputs, quality controls, and documented execution patterns make analysis easier to review, repeat, transfer, and maintain.
Can a genomic workflow run in cloud and on-premises environments?
Yes. Theiagen works with cloud, on-premises, and hybrid environments, selecting deployment patterns that fit security, cost, collaboration, and operational constraints.
How does Theiagen approach interoperability?
Systems are designed around documented metadata, community standards, open formats, and practical submission or handoff requirements so results can move between tools, teams, and repositories.
Put this expertise to work.
Tell us where your program is now and what pathogen challenge needs a clearer answer.