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MultiRNAflow

This is the released version of MultiRNAflow; for the devel version, see MultiRNAflow.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18

An R package for integrated analysis of temporal RNA-seq data with multiple biological conditions


Bioconductor version: Release (3.23)

Our R package MultiRNAflow provides an easy to use unified framework allowing to automatically make both unsupervised and supervised (DE) analysis for datasets with an arbitrary number of biological conditions and time points. In particular, our code makes a deep downstream analysis of DE information, e.g. identifying temporal patterns across biological conditions and DE genes which are specific to a biological condition for each time.

Author: Rodolphe Loubaton [aut, cre] ORCID iD ORCID: 0000-0002-1442-7270 , Nicolas Champagnat [aut, ths] ORCID iD ORCID: 0000-0002-5128-2357 , Laurent Vallat [aut, ths] ORCID iD ORCID: 0000-0002-5226-7706 , Pierre Vallois [aut] ORCID iD ORCID: 0000-0002-2123-0142 , Région Grand Est [fnd], Cancéropôle Est [fnd]

Maintainer: Rodolphe Loubaton <loubaton.rodolphe at gmail.com>

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

Rodolphe Loubaton, Nicolas Champagnat, Laurent Vallat, Pierre Vallois. MultiRNAflow: An R package for integrated analysis of temporal RNA-seq data with multiple biological conditions. doi:10.18129/B9.bioc.MultiRNAflow, R package version 1.10.0, https://bioconductor.org/packages/MultiRNAflow.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("MultiRNAflow")

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("MultiRNAflow")
MultiRNAflow: A R package for analysing RNA-seq raw counts with different time points and several biological conditions. PDF R Script
Running_analysis_with_MultiRNAflow HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews Clustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, Normalization, Pathways, Preprocessing, PrincipalComponent, RNASeq, Sequencing, Software, TimeCourse, Transcription, Visualization
Version1.10.0
In Bioconductor sinceBioC 3.18 (R-4.3) (3 years)
License GPL-3 | file LICENSE
Depends Mfuzz (>= 2.64.0), R (>= 4.4)
Imports Biobase (>= 2.54.0), ComplexHeatmap (>= 2.20.0), DESeq2 (>= 1.44.0), factoextra (>= 1.0.7), FactoMineR (>= 2.11), ggalluvial (>= 0.12.5), ggplot2 (>= 3.5.1), ggplotify (>= 0.1.2), ggrepel (>= 0.9.5), gprofiler2 (>= 0.2.3), graphics (>= 4.2.2), grDevices (>= 4.2.2), grid (>= 4.2.2), plot3D (>= 1.4.1), plot3Drgl (>= 1.0.4), reshape2 (>= 1.4.4), rlang (>= 1.1.6), S4Vectors (>= 0.42.0), stats (>= 4.2.2), SummarizedExperiment (>= 1.34.0), UpSetR (>= 1.4.0), utils (>= 4.2.2)
System Requirements
URLhttps://github.com/loubator/MultiRNAflow
Bug Reportshttps://github.com/loubator/MultiRNAflow/issues
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Suggests BiocGenerics (>= 0.40.0), BiocStyle (>= 2.32.1), e1071 (>= 1.7.12), knitr (>= 1.47), rmarkdown (>= 2.27), testthat (>= 3.0.0)
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Package Archives

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

Source Package MultiRNAflow_1.10.0.tar.gz
Windows Binary (x86_64) MultiRNAflow_1.10.0.zip
macOS Binary (big-sur-x86_64) MultiRNAflow_1.10.0.tgz
macOS Binary (sonoma-arm64) MultiRNAflow_1.10.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/MultiRNAflow
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/MultiRNAflow
Package Short Url https://bioconductor.org/packages/MultiRNAflow/
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