Seqera Labs

Founded by Evan Floden in 2018

Manage and run scientific data analysis pipelines

Pricing model

Paid

Rating

★ People love it

Time to value

Requires Expertise

You can use Seqera to run, monitor, and manage complex scientific data workflows across cloud and local compute systems. Built by the creators of Nextflow, it gives research teams a centralized space to execute data pipelines, track versioned analyses, and review execution logs. You can connect your existing cloud environments on AWS, Azure, or Google Cloud without moving your raw data. Teams can collaborate on genomics studies, automate routine biological data processing, and maintain strict audit trails to satisfy regulatory compliance requirements during research.

What Seqera Labs does

Launch Nextflow pipelines from a web interfaceMonitor run progress and error logs for active workflowsConfigure cloud compute environments on AWS, GCP, or AzureShare pipeline datasets and results with external collaboratorsTrack resource consumption and compute costs per analysisInspect execution history to audit experimental reproducibilityManage access permissions for research team membersOrchestrates Nextflow workflows across hybrid and multi-cloud setupsTracks pipeline runs, task logs, and resource utilization in real timeKeeps compute execution directly inside your own cloud infrastructureLogs full audit trails and provenance for regulatory complianceEnsures analysis reproducibility using containerized environmentsManages user permissions and team workspaces for scientific collaborationMonitors infrastructure compute costs per workflow run