rnaseqGene
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see rnaseqGene.
RNA-seq workflow: gene-level exploratory analysis and differential expression
Bioconductor version: 3.19
Here we walk through an end-to-end gene-level RNA-seq differential expression workflow using Bioconductor packages. We will start from the FASTQ files, show how these were aligned to the reference genome, and prepare a count matrix which tallies the number of RNA-seq reads/fragments within each gene for each sample. We will perform exploratory data analysis (EDA) for quality assessment and to explore the relationship between samples, perform differential gene expression analysis, and visually explore the results.
Author: Michael Love [aut, cre]
Maintainer: Michael Love <michaelisaiahlove at gmail.com>
citation("rnaseqGene")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("rnaseqGene")
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("rnaseqGene")| RNA-seq workflow at the gene level | HTML | R Script |
Details
| biocViews | GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow |
| Version | 1.28.0 |
| License | Artistic-2.0 |
| Depends | R (>= 3.3.0), BiocStyle, airway(>= 1.5.3), tximeta, magrittr, DESeq2, apeglm, vsn, dplyr, ggplot2, hexbin, pheatmap, RColorBrewer, PoiClaClu, glmpca, ggbeeswarm, genefilter, AnnotationDbi, org.Hs.eg.db, Gviz, sva, RUVSeq, fission |
| Imports | |
| System Requirements | |
| URL | https://github.com/thelovelab/rnaseqGene/ |
See More
| Suggests | knitr, rmarkdown |
| Linking To | |
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| Depends On Me | |
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Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | rnaseqGene_1.28.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/rnaseqGene |
| Source Repository (Developer Access) | git clone [email protected]:packages/rnaseqGene |
| Package Short Url | https://bioconductor.org/packages/rnaseqGene/ |
| Package Downloads Report | Download Stats |