Isac’s Gating-ML 2.0 Data Exchange Standard for Gating Description. Spidlen J, Moore W, Force IDST, Brinkman RR. We present examples of the use of FlowKit for constructing reporting and analysis workflows, including round-tripping results to and from FlowJo for joint analysis by both domain and quantitative experts.įlowJo GatingML flow cytometry python (programming language) single cell data science software systems immunology.Ĭopyright © 2021 White, Quinn, Enzor, Staats, Mosier, Almarode, Denny, Weinhold, Ferrari and Chan. To address this challenge, we developed FlowKit, a Gating-ML 2.0-compliant Python package that can read and write FCS files and FlowJo workspaces. To a large extent, this cuts domain experts off from the rapidly growing library of Single Cell Data Science algorithms available, curtailing the potential contributions of these experts to the validation and interpretation of results. Domain experts in cytometry laboratories and core facilities increasingly recognize the need for automated workflows in the face of increasing data complexity, but by and large, still conduct all analysis using traditional applications, predominantly FlowJo. An important challenge for primary or secondary analysis of cytometry data is how to facilitate productive collaboration between domain and quantitative experts.
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