gord@storytek.com 905-717-1561

Leveraging Seqera Platform and AWS Batch for ML workflows

Machine learning (ML) is used for multiple healthcare and life sciences (HCLS) applications, including medical imaging, protein folding, drug discovery, and gene editing. While Nextflow pipelines (like those in nf-core) are commonly used for genomics, they are also being adopted for machine learning workloads.

In this artice, we explain how to build an example Nextflow pipeline that performs ML model-training and inference for image analysis, illustrating how Nextflow supports custom ML-based workflows. We also discuss how health care and life science customers are using this today.

In part ii, we’ll provide a step-by-step guide explaining how users new to the Seqera Platform can rapidly get started with AWS