FlowAtlas.jl: an interactive tool bridging FlowJo with computational tools in Julia

As the dimensionality, throughput, and complexity of cytometry data increases, so does the demand for user-friendly, interactive analysis tools that leverage high-performance machine learning frameworks. Here we introduce FlowAtlas.jl: an interactive web application that bridges the user-friendly environment of FlowJo and computational tools in Julia developed by the scientific machine learning community. We demonstrate the capabilities of FlowAtlas using a novel human multi-tissue, multi-donor immune cell dataset, highlighting key immunological findings. ### Competing Interest Statement JLJ reports receiving consultancy fees and grant support from Sanofi Genzyme. All other authors declare no competing interests.