The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Holomics is an R Shiny application that enables users to perform single- and multi-omics analyses by providing a user-friendly interface to upload different omics datasets, select and run the implemented algorithms and finally visualize the generated results.
Holomics is primarily built on the R package mixOmics, which offers numerous algorithms for the integrative analysis of omics datasets. From this repertoire, the single-omics algorithms “Principal Component Analysis” (PCA) and “Partial Least Squares Discriminant Analysis” (PLS-DA), the pairwise-omics analysis “sparse Partial Least Squares” (sPLS) and the multi-omics framework DIABLO (“Data Integration Analysis for Biomarker discovery using Latent variable approaches for Omics studies”) have been implemented in Holomics.
install.packages("Holomics")
# Install devtools if it is not already installed
install.packages("devtools")
library(devtools)
# Install Holomics package
install_github("https://github.com/MolinLab/Holomics")
You need to install the Bioconductor package separately.
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("mixOmics")
BiocManager::install("BiocParallel")
Either with
library(Holomics)
run_app()
or
Holomics::run_app()
To use all the features offered, the following workflow should be followed. First, datasets are uploaded, during which any necessary pre-filtering or transformation steps take place. Next, the user should proceed to the single-omics analysis, where key features are identified and the datasets are reduced accordingly. After completing the single-omics analyses, the user can apply multi-omics analyses to identify correlations between two or more datasets. NOTE: If pre-filtered datasets (ideally generated earlier using Holomics) have already been uploaded, it is possible to start directly with the multi-omics analysis.
For further information on how to use Holomics please have a look at our vignette.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.