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flowTime

Bioc current

Annotation and analysis of biological dynamical systems using flow cytometry

v1.36.0 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.5 · Apr 25, 2017

Current · Requires R 4.6

1.0 In 19 of 49 releases 3.23

Description

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.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

16 16 exported

Complexity

4.6 avg / 17 max

Call network

16 nodes / 2 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

2,111

Files

115

Compiled share

0%

Has compiled src

No

Language breakdown

R 906 (42.9%)Docs 632 (29.9%)Vignettes 573 (27.1%)

API

Exported functions

16

Internal functions

0

Recent export changes

v3.7+1 read.plateSet
v3.5+13 addbs, addnorm, annotateFlowSet +10 more

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

14.3%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.4

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

19

First release

2017-04-24

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

4

LOC over versions

v3.5: 1,359 LOCv3.6: 1,359 LOCv3.7: 1,437 LOCv3.8: 1,437 LOCv3.9: 1,445 LOCv3.10: 1,445 LOCv3.11: 1,445 LOCv3.12: 1,863 LOCv3.13: 1,865 LOCv3.14: 1,873 LOCv3.15: 1,873 LOCv3.16: 1,789 LOCv3.17: 2,111 LOCv3.18: 2,111 LOCv3.19: 2,111 LOCv3.20: 2,111 LOCv3.21: 2,111 LOCv3.22: 2,111 LOCv3.23: 2,111 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMEYes · 14 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
21
Examples that run
100%16 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Datasets

Bundled datasets · 7
NameClassSizeAlso in
dipdoubletGate–––
dipsingletGate–––
hapdoubletGate–––
hapsingletGate–––
ss_exampledata.frame32 × 6No other package
tc_exampledata.frame37 × 7No other package
yeastGate–––

All of flowTime's data objects

Topics

Maintainer
R. Clay Wright

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("flowTime")
Wright, R. C., Bolten, N., & Pierre-Jerome, E. (2026). flowTime: Annotation and analysis of biological dynamical systems using flow cytometry (Version 1.36.0) [Computer software]. https://bioconductor.org/packages/flowTime

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for flowTime version 1.36.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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