CytoML for cross-platform cytometry data sharing.
Details
Serval ID
serval:BIB_538C4D1288AD
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
CytoML for cross-platform cytometry data sharing.
Journal
Cytometry. Part A
ISSN
1552-4930 (Electronic)
ISSN-L
1552-4922
Publication state
Published
Issued date
12/2018
Peer-reviewed
Oui
Volume
93
Number
12
Pages
1189-1196
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
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.
Keywords
Algorithms, Computational Biology/methods, Flow Cytometry/methods, Humans, Information Dissemination/methods, Reproducibility of Results, Software, T-Lymphocytes/cytology, R/bioconductor, bioinformatics, data analysis, data sharing, interoperability, standards
Pubmed
Web of science
Open Access
Yes
Create date
28/02/2022 11:45
Last modification date
23/03/2024 7:24