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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.

2023-12-22 bioinformatics
10.1101/2023.12.21.572741 bioRxiv
Show 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.

Published in Frontiers in Immunology (predicted rank #3) · training set

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