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terapadog

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21

Translational Efficiency Regulation Analysis using the PADOG Method


Bioconductor version: Release (3.23)

This package performs a Gene Set Analysis with the approach adopted by PADOG on the genes that are reported as translationally regulated (ie. exhibit a significant change in TE) by the DeltaTE package. It can be used on its own to see the impact of translation regulation on gene sets, but it is also integrated as an additional analysis method within ReactomeGSA, where results are further contextualised in terms of pathways and directionality of the change.

Author: Gionmattia Carancini [cre, aut] ORCID iD ORCID: 0000-0001-7936-4883

Maintainer: Gionmattia Carancini <gionmattia at gmail.com>

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

Gionmattia Carancini. terapadog: Translational Efficiency Regulation Analysis using the PADOG Method. doi:10.18129/B9.bioc.terapadog, R package version 1.4.0, https://bioconductor.org/packages/terapadog.

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("terapadog")

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("terapadog")
terapadog: Translational Efficiency Regulation Analysis & Pathway Analysis with Down-weighting of Overlapping Genes HTML R Script
Reference ManualPDF

Details

biocViews GeneRegulation, GeneSetEnrichment, Reactome, RiboSeq, Software, Transcriptomics
Version1.4.0
In Bioconductor sinceBioC 3.21 (R-4.5) (1.5 years)
License GPL-2
Depends
Imports DESeq2, KEGGREST, stats, utils, dplyr, plotly, htmlwidgets, biomaRt, methods
System Requirements
URLhttps://github.com/Gionmattia/terapadog
Bug Reportshttps://github.com/Gionmattia/terapadog/issues
See More
Suggests apeglm, BiocStyle, knitr, rmarkdown, testthat
Linking To
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Depends On Me
Imports Me
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Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package terapadog_1.4.0.tar.gz
Windows Binary (x86_64) terapadog_1.4.0.zip
macOS Binary (big-sur-x86_64) terapadog_1.4.0.tgz
macOS Binary (sonoma-arm64) terapadog_1.4.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/terapadog
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/terapadog
Package Short Url https://bioconductor.org/packages/terapadog/
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