The goal of HybridExpress is to perform comparative transcriptomic
analyses of hybrids relative to their progenitor species (a.k.a.
experimental trios). The package features:
Calculation of midparent expression values, which are in
silico samples obtained from the mean, sum, or weighted mean of
random sample pairs from each parent;
Exploratory analyses of sample grouping with PCA plots and
heatmaps of hierarchically-clustered pairwise sample correlations;
Identification of differentially expressed genes between hybrids
and their progenitor species, hybrids and midparent values, and the
two parents. If spike-in standards are available, HybridExpress
uses them to normalize the count data by transcriptome size;
Classification of genes in expression-based categories and
classes based on Rapp et
al. (2009). The 12
expression categories proposed by Rapp et
al. (2009) are grouped into
5 major classes (transgressive up-regulation, transgressive
down-regulation, additivity, expression-level dominance toward
parent 1, and expression-level dominance toward parent 2);
Functional analyses through the identification of
overrepresented functional terms for gene sets of interest.
Installation instructions
Get the latest stable R release from
CRAN. Then install HybridExpress from
Bioconductor using the following code:
if (!requireNamespace("BiocManager", quietly = TRUE)) {
install.packages("BiocManager")
}
BiocManager::install("HybridExpress")
Below is the citation output from using citation('HybridExpress') in
R. Please run this yourself to check for any updates on how to cite
HybridExpress.
print(citation('HybridExpress'), bibtex = TRUE)
#> To cite package 'HybridExpress' in publications use:
#>
#> Almeida-Silva F, Prost-Boxoen L, Van de Peer Y (2023).
#> _HybridExpress: Comparative analysis of RNA-seq data for hybrids and
#> their progenitors_. R package version 0.99.0,
#> <https://github.com/almeidasilvaf/HybridExpress>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors},
#> author = {Fabricio Almeida-Silva and Lucas Prost-Boxoen and Yves {Van de Peer}},
#> year = {2023},
#> note = {R package version 0.99.0},
#> url = {https://github.com/almeidasilvaf/HybridExpress},
#> }
Please note that the HybridExpress 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.
Code of Conduct
Please note that the HybridExpress project is released with a
Contributor Code of
Conduct. By
contributing to this project, you agree to abide by its terms.
HybridExpress
The goal of
HybridExpressis to perform comparative transcriptomic analyses of hybrids relative to their progenitor species (a.k.a. experimental trios). The package features:HybridExpressuses them to normalize the count data by transcriptome size;Installation instructions
Get the latest stable
Rrelease from CRAN. Then installHybridExpressfrom Bioconductor using the following code:And the development version from GitHub with:
Citation
Below is the citation output from using
citation('HybridExpress')in R. Please run this yourself to check for any updates on how to cite HybridExpress.Please note that the
HybridExpresswas 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.Code of Conduct
Please note that the
HybridExpressproject is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.Development tools
This package was developed using biocthis.