BioFrame: Enhancing Reproducibility and Accessibility in Genomics through Web-Based Workflow Design

Abstract

Since, Bioinformatic research is getting attraction that can be seen with sudden increase in development of tools as well as publications. However, there are challenges in bioinformatics which are making the results difficult to obtain while facing reproducibility, scalability, and accessibility of computational workflows. Though command line tools are powerful but majority of the bioinformatic researchers have little or no expertise in the extensive computational skills. To address these issues, we present here the easy to use and getting results with ease through our tool, BioFrame. BioFrame employs a containerized microservices architecture orchestrated via Docker Compose, separating concerns across presentation, orchestration, execution, and storage layers. The bioinformatic tools are encapsulated here as versioned container images with declarative metadata schemas, enabling dynamic tool discovery and parameter validation. Therefore, through user designed workflows one can easily get directed acyclic graphs while using the web interface.