Cloud Genomics Pipeline for a Mid-Size Research Institute
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Problem
Data outpacing analysis
A mid-size genomics research institute was generating sequencing data faster than its scientists could process it. Runs were analysed with hand-maintained scripts on a single on-premise server, a six-week backlog had built up, and no two projects processed samples quite the same way, making results difficult to reproduce or compare.
Solution
Automated cloud sequencing pipeline
We built a cloud-based genomics pipeline that picks up each completed sequencing run automatically, executes standardised containerised workflows for alignment, variant calling, and quality control, and writes versioned outputs with full provenance to object storage. Scientists track every sample through a dashboard, and compute scales up per run before shutting itself down.
Measurable Impact
What changed after launch
Per-sample processing time reduced from roughly 5 days to 11 hours
A 6-week analysis backlog cleared within the first month of operation
Compute cost per run cut by 38% using autoscaling spot instances
Failed or manually reprocessed runs dropped from 17% to under 4% with automated QC gates
Tech & Tools Used
What powered the build
Ready to Build your Life Sciences & Research Business with Genomics & Research Pipelines
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