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metaseqR2

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

Bioconductor version: 3.24 · Package version: 1.25.0

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.

Installation

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

BiocManager::install("metaseqR2")

Details

MaintainerPanagiotis Moulos <moulos@fleming.gr>
AuthorPanagiotis Moulos [aut, cre]
LicenseGPL (>= 3)
URLhttp://www.fleming.gr
Bug Reportshttps://github.com/pmoulos/metaseqR2/issues
Downloads rank589
Source branchdevel
biocViewsATACSeq, AlternativeSplicing, BatchEffect, Bayesian, BiomedicalInformatics, CellBiology, ChIPSeq, Clustering, DataImport, DifferentialExpression, DifferentialSplicing, Epigenetics, FunctionalGenomics, GeneExpression, GeneSetEnrichment, ImmunoOncology, MultipleComparison, Normalization, Preprocessing, ProprietaryPlatforms, QualityControl, RNASeq, Regression, ReportWriting, Sequencing, Software, SystemsBiology, TimeCourse, Transcription, Transcriptomics, WorkflowStep

Download

Follow the installation instructions to use this package in your R session.

Source packagemetaseqR2_1.25.0.tar.gz
Windows binary (x86_64)metaseqR2_1.25.0.zip
macOS binary (arm64)metaseqR2_1.25.0.tgz
macOS binary (x86_64)metaseqR2_1.25.0.tgz
Dependencies

Depends: R (>= 4.0.0), DESeq2, limma, locfit, splines

Imports: ABSSeq, Biobase, BiocGenerics, BiocParallel, biomaRt, Biostrings, corrplot, DSS, DT, EDASeq, edgeR, genefilter, Seqinfo, GenomeInfoDb, GenomicAlignments, GenomicFeatures, GenomicRanges, gplots, graphics, grDevices, harmonicmeanp, heatmaply, htmltools, httr, IRanges, jsonlite, lattice, log4r, magrittr, MASS, Matrix, methods, NBPSeq, pander, parallel, qvalue, rmarkdown, rmdformats, Rsamtools, RSQLite, rtracklayer, S4Vectors, stats, stringr, SummarizedExperiment, survcomp, txdbmaker, utils, VennDiagram, vsn, yaml, zoo

Suggests: BiocStyle, BiocManager, BSgenome, knitr, RMySQL, RUnit

Enhances: TCC