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OpenCyto: An Open Source Infrastructure for Scalable, Robust, Reproducible, and Automated, End-to-End Flow Cytometry Data Analysis

  • Greg Finak,

    Affiliation Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America

  • Jacob Frelinger,

    Affiliation Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America

  • Wenxin Jiang,

    Affiliation Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America

  • Evan W. Newell,

    Affiliation Agency for Science Technology and Research, Singapore Immunology Network, Singapore

  • John Ramey,

    Affiliation Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America

  • Mark M. Davis,

    Affiliations Department of Microbiology and Immunology, Stanford University, Stanford, California, United States of America, Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, California, United States of America, The Howard Hughes Medical Institute, Stanford University, Stanford, California, United States of America

  • Spyros A. Kalams,

    Affiliations Infectious Diseases Division, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, Department of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

  • Stephen C. De Rosa,

    Affiliations Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America, Department of Laboratory Medicine, University of Washington, Seattle, Washington, United States of America

  • Raphael Gottardo

    rgottard@fhcrc.org

    Affiliations Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America, Department of Statistics, University of Washington, Seattle, Washington, United States of America

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