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Transcriptional analysis based on transcriptograms

Bioconductor version: Release (3.19)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

The transcriptogramer user's guide HTML R Script
Reference Manual PDF


biocViews Clustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, Microarray, Network, RNASeq, Software, SystemsBiology, Transcription, Visualization
Version 1.26.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 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)
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Suggests BiocStyle, knitr, rmarkdown, RUnit, BiocGenerics
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Follow Installation instructions to use this package in your R session.

Source Package transcriptogramer_1.26.0.tar.gz
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macOS Binary (x86_64) transcriptogramer_1.26.0.tgz
macOS Binary (arm64) transcriptogramer_1.26.0.tgz
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Source Repository (Developer Access) git clone
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