GeneTonic
This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see GeneTonic.
Enjoy Analyzing And Integrating The Results From Differential Expression Analysis And Functional Enrichment Analysis
Bioconductor version: 3.18
This package provides functionality to combine the existing pieces of the transcriptome data and results, making it easier to generate insightful observations and hypothesis. Its usage is made easy with a Shiny application, combining the benefits of interactivity and reproducibility e.g. by capturing the features and gene sets of interest highlighted during the live session, and creating an HTML report as an artifact where text, code, and output coexist. Using the GeneTonicList as a standardized container for all the required components, it is possible to simplify the generation of multiple visualizations and summaries.
Author: Federico Marini [aut, cre] , Annekathrin Ludt [aut]
Maintainer: Federico Marini <marinif at uni-mainz.de>
citation("GeneTonic")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GeneTonic")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GeneTonic")
The GeneTonic User's Guide | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Annotation, DifferentialExpression, GO, GUI, GeneExpression, GeneSetEnrichment, Pathways, ReportWriting, ShinyApps, Software, Transcription, Transcriptomics, Visualization |
Version | 2.6.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (4 years) |
License | MIT + file LICENSE |
Depends | R (>= 4.0.0) |
Imports | AnnotationDbi, backbone, bs4Dash (>= 2.0.0), circlize, colorspace, colourpicker, ComplexHeatmap, ComplexUpset, dendextend, DESeq2, dplyr, DT, dynamicTreeCut, expm, ggforce, ggplot2, ggrepel, ggridges, GO.db, graphics, grDevices, grid, igraph, matrixStats, methods, plotly, RColorBrewer, rintrojs, rlang, rmarkdown, S4Vectors, scales, shiny, shinyAce, shinycssloaders, shinyWidgets, stats, SummarizedExperiment, tidyr, tippy, tools, utils, viridis, visNetwork |
System Requirements | |
URL | https://github.com/federicomarini/GeneTonic |
Bug Reports | https://github.com/federicomarini/GeneTonic/issues |
See More
Suggests | knitr, BiocStyle, htmltools, clusterProfiler, macrophage, org.Hs.eg.db, magrittr, testthat (>= 2.1.0) |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | GeneTonic_2.6.0.tar.gz |
Windows Binary | GeneTonic_2.6.0.zip |
macOS Binary (x86_64) | GeneTonic_2.6.0.tgz |
macOS Binary (arm64) | GeneTonic_2.6.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GeneTonic |
Source Repository (Developer Access) | git clone [email protected]:packages/GeneTonic |
Bioc Package Browser | https://code.bioconductor.org/browse/GeneTonic/ |
Package Short Url | https://bioconductor.org/packages/GeneTonic/ |
Package Downloads Report | Download Stats |