How Takeda Pharmaceuticals Accelerates Large-Scale Bioinformatics with AWS HealthOmics

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In the rapidly evolving field of bioinformatics, transitioning from on-prem high-performance computing (HPC) environments, like Slurm, to cloud-based solutions, like AWS HealthOmics, presents opportunities to reinvent for scale, speed, and cost. Jeff Lee is Associate Director of R&D Cloud Architecture at Takeda Pharmaceuticals, a patient-focused, R&D driven biopharmaceutical organization founded in 1781. In this blog post, we show how, at Takeda, we migrated custom Nextflow pipelines from on-prem Slurm compute clusters to HealthOmics in two weeks. This enabled a reduction in analysis time for 20,000 RNAseq samples from 6 weeks to two days, allowing us to produce more science while reducing costs by 70%.

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