CloudFlow is a web-based platform designed to streamline computational biology workflows at the Cancer Science Institute (CSI). It provides researchers, bioinformaticians, and students with seamless access to cloud-based bioinformatics pipelines, ensuring reproducible and scalable data analysis.
Overview
As a developer working alongside researchers and bioinformaticians, my role involves integrating these pipelines into the platform, optimizing their execution in the cloud, and ensuring a smooth user experience. Since CloudFlow leverages nf-core pipelines—an open-source, community-driven initiative—the system benefits from actively maintained, standardized workflows that follow best practices.
Key Responsibilities
From an engineering standpoint, this project involved:
- Cloud infrastructure management to ensure scalable and cost-efficient execution of workflows
- Pipeline integration to support researchers in running complex analyses without deep technical expertise
- User interface development for an intuitive experience that abstracts away cloud complexity
- System monitoring and maintenance to ensure reliability, security, and performance
Links: Platform
Impact
CloudFlow bridges the gap between high-performance cloud computing and biological research, enabling CSI investigators to focus on scientific discovery rather than infrastructure management. The platform has streamlined the research workflow for dozens of researchers and processed hundreds of computational biology analyses.