GigaSOM.jl: 1 billion cytometry events and beyond with Julia
Miroslav Kratochvíl, Oliver Hunewald
Studies in immunology, developmental biology, and medicine use flow and mass cytometry to generate huge amounts of single-cell data. GigaSOM.jl is a high-performance, horizontally scalable implementation of the commonly used clustering and visualization algorithms used in cytometry, designed to handle dataset of sizes inaccessible to currently available tools. We show the structure and design of GigaSOM.jl, and demonstrate the results on recent datasets from a massive immunophenotyping effort.
