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broadSeq

This is the development version of broadSeq; to use it, please install the devel version of Bioconductor.

broadSeq : for streamlined exploration of RNA-seq data


Bioconductor version: Development (3.20)

This package helps user to do easily RNA-seq data analysis with multiple methods (usually which needs many different input formats). Here the user will provid the expression data as a SummarizedExperiment object and will get results from different methods. It will help user to quickly evaluate different methods.

Author: Rishi Das Roy [aut, cre]

Maintainer: Rishi Das Roy <rishi.dasroy at gmail.com>

Citation (from within R, enter citation("broadSeq")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("broadSeq")

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("broadSeq")
Using broadSeq to analyze RNA-seq data HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Coverage, DifferentialExpression, GO, GeneExpression, GeneSetEnrichment, RNASeq, Sequencing, Software, Transcriptomics
Version 0.99.3
In Bioconductor since BioC 3.20 (R-4.4)
License MIT + file LICENSE
Depends dplyr, ggpubr, SummarizedExperiment
Imports BiocStyle, DELocal, EBSeq(>= 1.38.0), DESeq2(>= 1.38.2), NOISeq, forcats (>= 1.0.0), genefilter, ggplot2, ggplotify, plyr, clusterProfiler(>= 4.8.2), pheatmap, sechm(>= 1.6.0), stringr, purrr (>= 0.3.5), edgeR(>= 3.40.1)
System Requirements
URL https://github.com/dasroy/broadSeq
Bug Reports https://github.com/dasroy/broadSeq/issues
See More
Suggests knitr, limma(>= 3.54.0), rmarkdown, stats (>= 4.2.2), samr
Linking To
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Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package broadSeq_0.99.3.tar.gz
Windows Binary broadSeq_0.99.3.zip
macOS Binary (x86_64) broadSeq_0.99.3.tgz
macOS Binary (arm64) broadSeq_0.99.3.tgz
Source Repository git clone https://git.bioconductor.org/packages/broadSeq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/broadSeq
Bioc Package Browser https://code.bioconductor.org/browse/broadSeq/
Package Short Url https://bioconductor.org/packages/broadSeq/
Package Downloads Report Download Stats