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CytoML for cross‐platform cytometry data sharing
CytoML is an R/Bioconductor package that enables cross‐platform import, export, and sharing of gated cytometry data. It currently supports Cytobank, FlowJo, Diva, and R, allowing users to import gated cytometry data from commercial platforms into R. Once data are available in R, the data can be furt...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6443375/ https://www.ncbi.nlm.nih.gov/pubmed/30551257 http://dx.doi.org/10.1002/cyto.a.23663 |
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author | Finak, Greg Jiang, Wenxin Gottardo, Raphael |
author_facet | Finak, Greg Jiang, Wenxin Gottardo, Raphael |
author_sort | Finak, Greg |
collection | PubMed |
description | CytoML is an R/Bioconductor package that enables cross‐platform import, export, and sharing of gated cytometry data. It currently supports Cytobank, FlowJo, Diva, and R, allowing users to import gated cytometry data from commercial platforms into R. Once data are available in R, the data can be further manipulated. For example it can be combined with other computational and analytic approaches, and the results can be exported to FlowJo or Cytobank to be explored by researchers using those platforms. We demonstrate how CytoML and related R packages can be used as a tool to import, modify and export several samples stained with the T cell panel from the FlowCAP IV Lyoplate data set. Once imported, the gating is modified using computational approaches, and exported for visualization in Cytobank and FlowJo. We further show how CytoML can be used to import gated data from a publicly accessible mass cytometry experiment from Cytobank. CytoML is the only tool that allows such sharing of gated cytometry data between researchers working across different platforms, and it will serve as a useful tool for validating and verifying the reproducibility of analyses. © 2018 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry. |
format | Online Article Text |
id | pubmed-6443375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64433752019-05-23 CytoML for cross‐platform cytometry data sharing Finak, Greg Jiang, Wenxin Gottardo, Raphael Cytometry A Software Article CytoML is an R/Bioconductor package that enables cross‐platform import, export, and sharing of gated cytometry data. It currently supports Cytobank, FlowJo, Diva, and R, allowing users to import gated cytometry data from commercial platforms into R. Once data are available in R, the data can be further manipulated. For example it can be combined with other computational and analytic approaches, and the results can be exported to FlowJo or Cytobank to be explored by researchers using those platforms. We demonstrate how CytoML and related R packages can be used as a tool to import, modify and export several samples stained with the T cell panel from the FlowCAP IV Lyoplate data set. Once imported, the gating is modified using computational approaches, and exported for visualization in Cytobank and FlowJo. We further show how CytoML can be used to import gated data from a publicly accessible mass cytometry experiment from Cytobank. CytoML is the only tool that allows such sharing of gated cytometry data between researchers working across different platforms, and it will serve as a useful tool for validating and verifying the reproducibility of analyses. © 2018 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry. John Wiley & Sons, Inc. 2018-12-14 2018-12 /pmc/articles/PMC6443375/ /pubmed/30551257 http://dx.doi.org/10.1002/cyto.a.23663 Text en © 2018 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Article Finak, Greg Jiang, Wenxin Gottardo, Raphael CytoML for cross‐platform cytometry data sharing |
title |
CytoML for cross‐platform cytometry data sharing |
title_full |
CytoML for cross‐platform cytometry data sharing |
title_fullStr |
CytoML for cross‐platform cytometry data sharing |
title_full_unstemmed |
CytoML for cross‐platform cytometry data sharing |
title_short |
CytoML for cross‐platform cytometry data sharing |
title_sort | cytoml for cross‐platform cytometry data sharing |
topic | Software Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6443375/ https://www.ncbi.nlm.nih.gov/pubmed/30551257 http://dx.doi.org/10.1002/cyto.a.23663 |
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