This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see ideal.
Bioconductor version: 3.16
This package provides functions for an Interactive Differential Expression AnaLysis of RNA-sequencing datasets, to extract quickly and effectively information downstream the step of differential expression. A Shiny application encapsulates the whole package.
Author: Federico Marini [aut, cre]
Maintainer: Federico Marini <marinif at uni-mainz.de>
Citation (from within R,
enter citation("ideal")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("ideal")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ideal")
HTML | R Script | ideal User's Guide |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | DifferentialExpression, GUI, GeneExpression, GeneSetEnrichment, ImmunoOncology, QualityControl, RNASeq, ReportWriting, Sequencing, Software, Visualization |
Version | 1.22.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (6 years) |
License | MIT + file LICENSE |
Depends | topGO |
Imports | DESeq2, SummarizedExperiment, GenomicRanges, IRanges, S4Vectors, ggplot2 (>= 2.0.0), heatmaply, plotly, pheatmap, pcaExplorer, IHW, gplots, UpSetR, goseq, stringr, dplyr, limma, GOstats, GO.db, AnnotationDbi, shiny (>= 0.12.0), shinydashboard, shinyBS, DT, rentrez, rintrojs, rlang, ggrepel, knitr, rmarkdown, shinyAce, BiocParallel, grDevices, base64enc, methods |
LinkingTo | |
Suggests | testthat, BiocStyle, airway, org.Hs.eg.db, TxDb.Hsapiens.UCSC.hg38.knownGene, DEFormats, edgeR |
SystemRequirements | |
Enhances | |
URL | https://github.com/federicomarini/ideal https://federicomarini.github.io/ideal/ |
BugReports | https://github.com/federicomarini/ideal/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | ideal_1.22.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | ideal_1.22.0.tgz |
macOS Binary (arm64) | ideal_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ideal |
Source Repository (Developer Access) | git clone [email protected]:packages/ideal |
Bioc Package Browser | https://code.bioconductor.org/browse/ideal/ |
Package Short Url | https://bioconductor.org/packages/ideal/ |
Package Downloads Report | Download Stats |
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