Details zur Publikation
Kategorie Textpublikation
Referenztyp Berichte
URL R package version 1.2.0 http://www.bioconductor.org/packages/release/bioc/html/flowCyBar.html
Titel (primär) flowCyBar: Analyze flow cytometric data using gate information R package version 1.2.0 http://www.bioconductor.org/packages/release/bioc/html/flowCyBar.html October 2014: 1491 downloads (distinct IPs: December 2014: ~2000)
Autor Schumann, J.; Koch, C.; Günther, S.; Fetzer, I.; Müller, S.
Erscheinungsjahr 2014
Department UMB
Sprache englisch
Abstract CyBar means cytometric barcoding and is a tool for evaluation of cytometric datasets by using
gate information. On the rst hand it was developed for evaluation of microbial cytometric data
but it can also be used for any other cytometric dataset. CyBar is used to record cell abundances
per gate by creating a gate template that is valid for all samples that are part of an investigation.
Thus, cell abundance variation per gate over time or per treatment is provided. As a result, the gate
based population or community alterations are quanti ed and visualized in heatmaps. In addition,
functional maps can be designed that indicate certain functions of cells in respective gates due to
abiotic parameters that are recorded in parallel to the cytometric measurements. Also interactions of
cells between gates can be suggested. The procedure allows a segregated and/or function-dependent
identi cation of subpopulations/-communities of interest e.g. for cell sorting. The CyBar is useful
to identify dynamics in a cell system, to nd factors that shape a population or community and to
make sort decisions easier.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=15750
Schumann, J., Koch, C., Günther, S., Fetzer, I., Müller, S. (2014):
flowCyBar: Analyze flow cytometric data using gate information
R package version 1.2.0
http://www.bioconductor.org/packages/release/bioc/html/flowCyBar.html
October 2014: 1491 downloads (distinct IPs: December 2014: ~2000)