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Author: Mark Schreiber
Mark is a Senior Genomics Consultant working in the AWS Health artificial intelligence (AI) team. Mark specializes in genomics and life sciences applications and data. He holds a PhD from the University of Otago in New Zealand. Prior to joining AWS, he worked for several years with pharmaceutical and biotech companies. Mark is also a frequent contributor to open-source projects.
From Prompt to Pipeline: AI-Powered Bioinformatics Workflow Development with Kiro and AWS HealthOmics
Learn more about Kiro — an agentic AI-powered IDE built by AWS that helps you go from prototype to production with spec-driven development — and how to improve Kiro’s bioinformatics workflow abilities, we built the AWS HealthOmics Kiro Power — a companion package that automatically configures the HealthOmics Model Context Protocol (MCP) server and provides Kiro with domain-specific steering guides.
Reduce Genomic Discovery Time and Costs with AWS HealthOmics Run Analyzer
Bioinformatics researchers running production genomic workflows face a critical challenge: ensuring computational resources are properly allocated to maximize cost efficiency without sacrificing performance. Today, we’re excited to share significant enhancements to the AWS HealthOmics Run Analyzer tool that directly address this challenge. These capabilities deliver substantial benefits to our customers, including: The ability to analyze […]
New Tools to Accelerate Workflow Migrations to AWS HealthOmics
Although genomics workflow languages are designed to improve the portability and reproducibility of analyses, the migration of workflows from one runtime environment to another can be challenging if the workflow makes strong assumptions about that environment. Here we present two customer-tested tools that help detect workflow issues and accelerate the migration of resources to smooth the […]
Cromwell on AWS: A simpler and improved AWS Batch backend
The latest release of Cromwell (v52) includes a number of major changes and improvements to the AWS Batch backend for Cromwell. Among the numerous changes, we have enabled Cromwell’s Call Caching feature when using AWS Batch with files in Amazon Simple Storage Service (Amazon S3). This allows genomics researchers to efficiently develop and run workflows […]