AWS HPC Blog
Author: Ben Sherman
Ben Sherman is a software engineer at Seqera Labs. Ben earned his PhD at Clemson University, where he received advanced training in machine learning and high-performance computing (HPC). He is the developer of multiple scientific applications and workflows in computational sciences (particularly bioinformatics), enabling data-intensive scientific research on HPC platforms.
Leveraging Seqera Platform on AWS Batch for machine learning workflows – Part 2 of 2
In this second part of using Nextflow for machine learning for life science workloads, we provide a step-by-step guide, explaining how you can easily deploy a Seqera environment on AWS to run ML and other pipelines.
Leveraging Seqera Platform on AWS Batch for machine learning workflows – Part 1 of 2
Nextflow is popular workflow framework for genomics pipelines, but did you know you can also use it for machine-learning? ML is already being used for medical imaging, protein folding, drug discovery, and gene editing. In this post, we explain how to build an example Nextflow pipeline that performs ML model-training and inference for image analysis.