Bioconductor version: Release (3.13)
A package to analyze flow cytometric data of complex microbial communities based on histogram images
Author: Joachim Schumann <joachim.schumann at ufz.de>, Christin Koch <christin.koch at ufz.de>, Ingo Fetzer <info.fetzer at stockholmresilience.su.se>, Susann Müller <susann.mueller at ufz.de>
Maintainer: Author: Joachim Schumann <joachim.schumann at ufz.de>
Citation (from within R,
enter citation("flowCHIC")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("flowCHIC")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowCHIC")
R Script | Analyze flow cytometric data using histogram information | |
Reference Manual |
biocViews | CellBasedAssays, Clustering, FlowCytometry, ImmunoOncology, Software, Visualization |
Version | 1.26.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (7 years) |
License | GPL-2 |
Depends | R (>= 3.1.0) |
Imports | methods, flowCore, EBImage, vegan, hexbin, ggplot2, grid |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://www.ufz.de/index.php?en=16773 |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | flowCHIC_1.26.0.tar.gz |
Windows Binary | flowCHIC_1.26.0.zip |
macOS 10.13 (High Sierra) | flowCHIC_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/flowCHIC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/flowCHIC |
Package Short Url | https://bioconductor.org/packages/flowCHIC/ |
Package Downloads Report | Download Stats |
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