metaseqR

DOI: 10.18129/B9.bioc.metaseqR    

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see metaseqR.

An R package for the analysis and result reporting of RNA-Seq data by combining multiple statistical algorithms.

Bioconductor version: 3.11

Provides an interface to several normalization and statistical testing packages for RNA-Seq gene expression data. Additionally, it creates several diagnostic plots, performs meta-analysis by combinining the results of several statistical tests and reports the results in an interactive way.

Author: Panagiotis Moulos <moulos at fleming.gr>

Maintainer: Panagiotis Moulos <moulos at fleming.gr>

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

Installation

To install this package, start R (version "4.0") and enter:

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

BiocManager::install("metaseqR")

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("metaseqR")

 

PDF R Script RNA-Seq data analysis using mulitple statistical algorithms with metaseqR
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, GeneExpression, ImmunoOncology, Normalization, Preprocessing, QualityControl, RNASeq, ReportWriting, Software, WorkflowStep
Version 1.28.0
In Bioconductor since BioC 2.14 (R-3.1) (6.5 years)
License GPL (>= 3)
Depends R (>= 3.4.0), EDASeq, DESeq, limma, qvalue
Imports edgeR, NOISeq, baySeq, NBPSeq, biomaRt, utils, gplots, corrplot, vsn, brew, rjson, log4r
LinkingTo
Suggests BiocGenerics, GenomicRanges, rtracklayer, Rsamtools, survcomp, VennDiagram, knitr, zoo, RUnit, BiocManager, BSgenome, RSQLite
SystemRequirements
Enhances parallel, TCC, RMySQL
URL http://www.fleming.gr
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package metaseqR_1.28.0.tar.gz
Windows Binary metaseqR_1.28.0.zip
macOS 10.13 (High Sierra) metaseqR_1.28.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/metaseqR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/metaseqR
Package Short Url https://bioconductor.org/packages/metaseqR/
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