Scaling Sample Throughput by 35x by Migrating Pipelines to Nextflow and Deploying on Seqera
Read the full case study35x
Scaled sample throughput
66%
reduction in total costs
10x
improvements in client launch timelines
Aim
Standardize and optimize data pipelines for genomics, biomanufacturing QC, and development to accelerate discovery and support diverse client needs across pharma, diagnostics, and precision medicine.Challenges
- →Inefficient management of computational resources for large-scale genomic data processing.
- →I/O bottlenecks and large data transfers between cloud and compute servers delay turnaround times.
- →Complex compute environments configuration hinders deployment across local, HPC, and cloud.
- →Time consuming pipeline restarts with limited flexibility for resuming runs after interruptions.
- →Maintaining detailed logs of pipeline versions, configurations, and parameters across projects.
— Jaya Singh, AVP, Business Development, Strand Life Sciences
Solution
Nextflow
Modernized workflow architecture with reproducible, scalable pipelines that standardized processes across teams and environments.
nf-core
Accelerated development with ready-to use community modules and established best practices for robust pipeline construction.
Seqera
Centralized workflow management with real time visibility, dynamic scaling, and improvements in runtime and sample throughput.
Results
As client projects scaled in complexity and volume, Strand undertook a strategic initiative to standardize their bioinformatics operations and modernize their workflow infrastructure. By migrating their legacy pipelines to Nextflow and deploying on Seqera Strand enhanced scalability, reproducibility, and operational efficiency. The result was a 55% reduction in workflow execution time, 35x increase in sample throughput, and 66% reduction in total costs. These enhancements standardized code development and established robust, reliable computational pipelines that now serve as the foundation for future genomic analysis workflows across diverse client environments and research applications at Strand.
55%
Opportunity
Precision medicine at scale
Increased laboratory throughput allows clinical laboratories to scale operations, while delivering high-quality genomic insights to patients faster.
Accelerated time-to-market
Implementation of software solutions, standardized pipelines, and bioinformatics support accelerates the development of therapeutic products.
Operational flexibility
Ability to scale up or down as research needs evolve ensures long term sustainability and adaptability across pharma, diagnostics, and healthcare programs.
About
Strand Life Sciences is a bioinformatics technology company with 25+ years of deep expertise in bioinformatics, clinical genomics, and data science. Founded as a spin-off from the Indian Institute of Science, one of India’s premier research institutes, the company integrates advanced bioinformatics workflows and analysis, LLM-assisted variant interpretation and metadata harmonization, "omics"- focused AI foundation models for target discovery, and phenotype-driven analysis to enable scalable interpretation of genomic data.
To learn more, visit strandls.com