This is the development version of transcriptogramer; for the stable release version, see transcriptogramer.
Transcriptional analysis based on transcriptogramsBioconductor version: Development (3.22)
R package for transcriptional analysis based on transcriptograms, a method to analyze transcriptomes that projects expression values on a set of ordered proteins, arranged such that the probability that gene products participate in the same metabolic pathway exponentially decreases with the increase of the distance between two proteins of the ordering. Transcriptograms are, hence, genome wide gene expression profiles that provide a global view for the cellular metabolism, while indicating gene sets whose expressions are altered.
Author: Diego Morais [aut, cre], Rodrigo Dalmolin [aut]
Maintainer: Diego Morais <vinx at ufrn.edu.br>
Citation (from within R, entercitation("transcriptogramer")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("transcriptogramer")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("transcriptogramer")
Details biocViews Clustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, Microarray, Network, RNASeq, Software, SystemsBiology, Transcription, Visualization Version 1.31.0 In Bioconductor since BioC 3.6 (R-3.4) (7.5 years) License GPL (>= 2) Depends R (>= 3.4), methods Imports biomaRt, data.table, doSNOW, foreach, ggplot2, graphics, grDevices, igraph, limma, parallel, progress, RedeR, snow, stats, tidyr, topGO System Requirements Java Runtime Environment (>= 6) URL https://github.com/arthurvinx/transcriptogramer Bug Reports https://github.com/arthurvinx/transcriptogramer/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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