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cellmigRation

This package is for version 3.21 of Bioconductor; for the stable, up-to-date release version, see cellmigRation.

Track Cells, Analyze Cell Trajectories and Compute Migration Statistics


Bioconductor version: 3.21

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.

Author: Salim Ghannoum [aut, cph], Damiano Fantini [aut, cph], Waldir Leoncio [cre, aut], Øystein Sørensen [aut]

Maintainer: Waldir Leoncio <w.l.netto at medisin.uio.no>

Citation (from within R, enter citation("cellmigRation")):

Installation

To install this package, start R (version "4.5") and enter:


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

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("cellmigRation")
cellmigRation HTML R Script
Reference Manual PDF
README Text
NEWS Text

Details

Version 1.16.0
In Bioconductor since BioC 3.13 (R-4.1) (4.5 years)
License GPL-2
Depends R (>= 4.1), methods, foreach
Imports tiff, graphics, stats, utils, reshape2, parallel, doParallel, grDevices, matrixStats, FME, SpatialTools, sp, vioplot, FactoMineR, Hmisc
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Package Archives

Follow Installation instructions to use this package in your R session.

Windows Binary (x86_64) cellmigRation_1.16.0.zip
macOS Binary (x86_64) cellmigRation_1.16.0.tgz
macOS Binary (arm64) cellmigRation_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cellmigRation
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/cellmigRation
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