RNASeqR: RNASeqR: an R package for automated two-group RNA-Seq analysis workflow

This R package is designed for case-control RNA-Seq analysis (two-group). There are six steps: "RNASeqRParam S4 Object Creation", "Environment Setup", "Quality Assessment", "Reads Alignment & Quantification", "Gene-level Differential Analyses" and "Functional Analyses". Each step corresponds to a function in this package. After running functions in order, a basic RNASeq analysis would be done easily.

Package details

AuthorKuan-Hao Chao
Bioconductor views Alignment Clustering DataImport DifferentialExpression ExperimentalDesign FunctionalPrediction GO GeneExpression GeneSetEnrichment Genetics ImmunoOncology Infrastructure KEGG Normalization Pathways QualityControl RNASeq Sequencing Visualization
MaintainerKuan-Hao Chao <ntueeb05howard@gmail.com>
LicenseArtistic-2.0
Version1.8.0
URL https://github.com/HowardChao/RNASeqR
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RNASeqR")

Try the RNASeqR package in your browser

Any scripts or data that you put into this service are public.

RNASeqR documentation built on Nov. 8, 2020, 7:49 p.m.