This is the development version of Glimma; for the stable release version, see Glimma.
Interactive visualizations for gene expression analysisBioconductor version: Development (3.22)
This package produces interactive visualizations for RNA-seq data analysis, utilizing output from limma, edgeR, or DESeq2. It produces interactive htmlwidgets versions of popular RNA-seq analysis plots to enhance the exploration of analysis results by overlaying interactive features. The plots can be viewed in a web browser or embedded in notebook documents.
Author: Shian Su [aut, cre], Hasaru Kariyawasam [aut], Oliver Voogd [aut], Matthew Ritchie [aut], Charity Law [aut], Stuart Lee [ctb], Isaac Virshup [ctb]
Maintainer: Shian Su <su.s at wehi.edu.au>
Citation (from within R, entercitation("Glimma")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("Glimma")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Glimma")
Details biocViews DifferentialExpression, GeneExpression, Microarray, RNASeq, ReportWriting, Sequencing, Software, Visualization Version 2.19.2 In Bioconductor since BioC 3.3 (R-3.3) (9 years) License GPL-3 Depends R (>= 4.0.0) Imports htmlwidgets, edgeR, DESeq2, limma, SummarizedExperiment, stats, jsonlite, methods, S4Vectors System Requirements URL https://github.com/hasaru-k/GlimmaV2 Bug Reports https://github.com/hasaru-k/GlimmaV2/issues See More Suggests testthat, knitr, rmarkdown, BiocStyle, IRanges, GenomicRanges, pryr, AnnotationHub, scRNAseq, scater, scran, scRNAseq Linking To Enhances Depends On Me RNAseq123 Imports Me affycoretools Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4