MetaCyto specifications


Unique identifier OMICS_19131
Name MetaCyto
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License MIT License
Computer skills Advanced
Version 1.3.3
Stability Stable
dplyr, ggplot2, flowCore, metafor, FlowSOM, metacyto
Maintained Yes



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  • person_outline Atul Butte <>
  • person_outline Zicheng Hu <>

Publication for MetaCyto

MetaCyto in publication

PMCID: 5827693
PMID: 29485622
DOI: 10.1038/sdata.2018.15

[…] mass cytometry data across several human populations and combines them in a systematic manner. to make this possible, we developed a platform-agnostic, user-friendly, flow analysis framework called metacyto that allows cytometry data combined from multiple sources to identify demographic specific differences in circulating immune cell populations. metacyto is available as a r package […]

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MetaCyto institution(s)
Institute for Computational Health Sciences, University of California, San Francisco, CA, USA; Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA; Department of Microbiology and Immunology, Helen Diller Family Comprehensive Cancer Center, Parker Institute for Cancer Immunotherapy, University of California, San Francisco, CA, USA; Northrop Grumman Technology Services Health IT, Rockville, MD, USA

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