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bioRxiv · 10.1101/2023.12.21.572741

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

Coppard, V.·Szep, G.·Georgieva, Z.·Howlett, S. K.·Jarvis, L. B.·Rainbow, D. B.·Suchanek, O.·Needham, E. J.·Mousa, H. S.·Menon, D. K.·Feyertag, F.·Mahbubani, K. T.·Saeb-Parsy, K.·Jones, J. L.
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Abstract

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.

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Coppard, V., Szep, G., Georgieva, Z., Howlett, S. K., Jarvis, L. B., Rainbow, D. B., Suchanek, O., Needham, E. J., Mousa, H. S., Menon, D. K., Feyertag, F., Mahbubani, K. T., Saeb-Parsy, K., Jones, J. L.. 2023-12-22. FlowAtlas.jl: an interactive tool bridging FlowJo with computational tools in Julia. https://doi.org/10.1101/2023.12.21.572741

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