knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of magrene
is to identify and analyze graph motifs containing
duplicated genes in gene regulatory networks (GRNs). Possible motifs include
V, PPI V, lambda, delta, and bifans.
Motif frequencies can be analyzed in the context of gene duplications to explore the impact of small-scale and whole-genome duplications on gene regulatory networks.
Additionally, GRNs can be tested for motif enrichment by comparing motif frequencies to a null distribution generated from degree-preserving simulated GRNs.
Finally, users can calculate the interaction similarity between gene pairs based on the Sorensen-Dice similarity index.
knitr::include_graphics("vignettes/motifs_vignette.png")
Get the latest stable R
release from CRAN. Then install magrene
using from Bioconductor the following code:
if (!requireNamespace("BiocManager", quietly = TRUE)) { install.packages("BiocManager") } BiocManager::install("magrene")
And the development version from GitHub with:
BiocManager::install("almeidasilvaf/magrene")
Below is the citation output from using citation('magrene')
in R. Please
run this yourself to check for any updates on how to cite magrene.
print(citation('magrene'), bibtex = TRUE)
Please note that magrene
was only made possible thanks to many other R and bioinformatics software authors, which are cited either in the vignettes and/or the paper(s) describing this package.
Please note that the magrene
project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
r BiocStyle::CRANpkg('usethis')
, r BiocStyle::CRANpkg('remotes')
, and r BiocStyle::CRANpkg('rcmdcheck')
customized to use Bioconductor's docker containers and r BiocStyle::Biocpkg('BiocCheck')
.r BiocStyle::CRANpkg('covr')
.r BiocStyle::CRANpkg('pkgdown')
.r BiocStyle::CRANpkg('devtools')
and r BiocStyle::CRANpkg('roxygen2')
.For more details, check the dev
directory.
This package was developed using r BiocStyle::Biocpkg('biocthis')
.
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