rKOMICS: Minicircle Sequence Cluster (MSC) Analyses

It establishes a critical framework to manipulate, explore and extract biologically relevant information from mitochondrial minicircle assemblies in tens to hundreds of samples simultaneously and efficiently. This should facilitate research that aims to develop new molecular markers for identifying species-specific minicircles, or to study the ancestry of parasites for complementary insights into their evolutionary history.

Version: 1.1
Depends: R (≥ 2.10)
Imports: ggplot2, ape, circlize, ComplexHeatmap, reshape2, utils, stats, dplyr, factoextra, FactoMineR, ggpubr, magrittr, stringr
Suggests: viridis
Published: 2021-07-21
Author: Frederik Van den Broeck [aut], Manon Geerts [aut, cre]
Maintainer: Manon Geerts <mgeerts at itg.be>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: rKOMICS results

Documentation:

Reference manual: rKOMICS.pdf
Vignettes: Sending Messages With Gmailr

Downloads:

Package source: rKOMICS_1.1.tar.gz
Windows binaries: r-devel: rKOMICS_1.1.zip, r-release: rKOMICS_1.1.zip, r-oldrel: rKOMICS_1.1.zip
macOS binaries: r-release (arm64): rKOMICS_1.1.tgz, r-release (x86_64): rKOMICS_1.1.tgz, r-oldrel: rKOMICS_1.1.tgz
Old sources: rKOMICS archive

Linking:

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