Package: flowTime 1.37.0

R. Clay Wright

flowTime: Annotation and analysis of biological dynamical systems using flow cytometry

This package facilitates analysis of both timecourse and steady state flow cytometry experiments. This package was originially developed for quantifying the function of gene regulatory networks in yeast (strain W303) expressing fluorescent reporter proteins using BD Accuri C6 and SORP cytometers. However, the functions are for the most part general and may be adapted for analysis of other organisms using other flow cytometers. Functions in this package facilitate the annotation of flow cytometry data with experimental metadata, as often required for publication and general ease-of-reuse. Functions for creating, saving and loading gate sets are also included. In the past, we have typically generated summary statistics for each flowset for each timepoint and then annotated and analyzed these summary statistics. This method loses a great deal of the power that comes from the large amounts of individual cell data generated in flow cytometry, by essentially collapsing this data into a bulk measurement after subsetting. In addition to these summary functions, this package also contains functions to facilitate annotation and analysis of steady-state or time-lapse data utilizing all of the data collected from the thousands of individual cells in each sample.

Authors:R. Clay Wright [aut, cre], Nick Bolten [aut], Edith Pierre-Jerome [aut]

flowTime_1.37.0.tar.gz
flowTime_1.37.0.zip(r-4.7-any)flowTime_1.37.0.zip(r-4.6-any)flowTime_1.37.0.zip(r-4.5-any)
flowTime_1.37.0.tgz(r-4.6-any)flowTime_1.37.0.tgz(r-4.5-any)
flowTime_1.37.0.tar.gz(r-4.7-any)flowTime_1.37.0.tar.gz(r-4.6-any)
flowTime_1.37.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
flowTime/json (API)

# Install 'flowTime' in R:
install.packages('flowTime', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On BioConductor:flowTime-1.37.0(bioc 3.24)flowTime-1.36.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

flowcytometrytimecoursevisualizationdataimportcellbasedassaysimmunooncology

4.52 score 11 scripts 518 downloads 16 exports 30 dependencies

Last updated from:ec41c051f4. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE174
linux-develOK245
source / vignettesOK231
linux-releaseOK279
macos-releaseOK106
macos-oldrelOK126
windows-develOK151
windows-releaseOK138
windows-oldrelOK133
wasm-releaseOK134

Exports:addbsaddnormannotateFlowSetcreateAnnotationflsummarygetTimeloadGatesmeanMedianSDploidypolyGateqaGatingread.plateSetsaveGatessteadyStatesummarizeFlowtidyFlow

Dependencies:BHBiobaseBiocGenericsbiocmakeclicpp11cytolibdir.expirydplyrfilelockflowCoregenericsgluelifecyclemagrittrmatrixStatspillarpkgconfigplyrR6RcppRhdf5librlangRProtoBufLibS4Vectorstibbletidyselectutf8vctrswithr

Yeast gating

Last update: 2020-10-14
Started: 2020-06-30

Steady-state analysis of flow cytometry data

Last update: 2018-05-10
Started: 2016-01-25

Time course analysis of flow cytometry data

Last update: 2017-03-15
Started: 2016-01-25