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cellmigRation

Track Cells, Analyze Cell Trajectories and Compute Migration Statistics

Bioconductor version: 3.24 · Package version: 1.21.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

Import TIFF images of fluorescently labeled cells, and track cell movements over time. Parallelization is supported for image processing and for fast computation of cell trajectories. In-depth analysis of cell trajectories is enabled by 15 trajectory analysis functions.

DOI: 10.18129/B9.bioc.cellmigRation

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cellmigRation")

Details

MaintainerWaldir Leoncio <w.l.netto@medisin.uio.no>
AuthorSalim Ghannoum [aut, cph], Damiano Fantini [aut, cph], Waldir Leoncio [cre, aut], Øystein Sørensen [aut]
LicenseGPL-2
URLhttps://github.com/ocbe-uio/cellmigRation/
Bug Reportshttps://github.com/ocbe-uio/cellmigRation/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsCellBiology, DataImport, DataRepresentation, Software
Package Short Url https://bioconductor.org/packages/cellmigRation/

Citation

From within R, enter citation("cellmigRation"):

Salim Ghannoum, Damiano Fantini, Waldir Leoncio, Øystein Sørensen. cellmigRation: Track Cells, Analyze Cell Trajectories and Compute Migration Statistics. doi:10.18129/B9.bioc.cellmigRation, R package version 1.21.0, https://bioconductor.org/packages/cellmigRation.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagecellmigRation_1.21.0.tar.gz
Windows binary (x86_64)cellmigRation_1.21.0.zip
macOS binary (arm64)cellmigRation_1.21.0.tgz
macOS binary (x86_64)cellmigRation_1.21.0.tgz
Dependencies

Depends: R (>= 4.1), methods, foreach

Imports: tiff, graphics, stats, utils, reshape2, parallel, doParallel, grDevices, matrixStats, FME, SpatialTools, sp, vioplot, FactoMineR, Hmisc

Suggests: knitr, rmarkdown, dplyr, ggplot2, RUnit, BiocGenerics, BiocManager, kableExtra, rgl