Skip to content

transcriptogramer

Bioc current

Transcriptional analysis based on transcriptograms

v1.34.0 · Package record · software · GPL (>= 2)

Release Lineage

Entered 3.6 · Oct 31, 2017

Current · Requires R 4.6

1.0 In 18 of 49 releases 3.23

Description

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.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

35 1 exported

Complexity

4.4 avg / 11 max

Call network

35 nodes / 28 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

4,650

Files

70

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,814 (60.5%)Tests 1 (0%)Docs 1,483 (31.9%)Vignettes 352 (7.6%)

API

Exported functions

13

Internal functions

34

Recent export changes

v3.8+2 Terms, enrichmentPlot
v3.6+11 radius<-, DE, clusterEnrichment +8 more

Testing

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

33.3%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.4

System requirements

1 externalJava Runtime Environment (>= 6)

C++ standard

–

License

GPL (>= 2)

License flags

SPDX valid, OSI approved

History

Versions

18

First release

2017-10-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

2

LOC over versions

v3.6: 3,515 LOCv3.7: 3,756 LOCv3.8: 4,618 LOCv3.9: 4,646 LOCv3.10: 4,647 LOCv3.11: 4,650 LOCv3.12: 4,650 LOCv3.13: 4,650 LOCv3.14: 4,650 LOCv3.15: 4,650 LOCv3.16: 4,650 LOCv3.17: 4,650 LOCv3.18: 4,650 LOCv3.19: 4,650 LOCv3.20: 4,650 LOCv3.21: 4,650 LOCv3.22: 4,650 LOCv3.23: 4,650 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMENoVignettesYes · 1 · dynamicNEWSYesCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
31includes a package overview page
Examples that run
100%29 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
13%

Repository practices

Upstream repositoryBeta

Checks run against github.com/arthurvinx/transcriptogramer on 2026-10-25.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 17
NameClassSizeAlso in
DEsymbolsdata.frame12,306 × 2No other package
GPL570data.frame37,020 × 2No other package
GSE9988data.frame27,828 × 6No other package
Hs700vector17,185 elementsNo other package
Hs800vector14,711 elementsNo other package
Hs900vector12,396 elementsNo other package
HsBPTermsdata.frame125,465 × 2No other package
Mm700vector16,690 elementsNo other package
Mm800vector13,655 elementsNo other package
Mm900vector11,141 elementsNo other package
Rn700vector17,021 elementsNo other package
Rn800vector13,887 elementsNo other package
Rn900vector10,788 elementsNo other package
Sc700vector6,157 elementsNo other package
Sc800vector5,847 elementsNo other package
Sc900vector5,213 elementsNo other package
associationdata.frame648,304 × 2No other package

All of transcriptogramer's data objects

Topics

Maintainer
Diego Morais

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("transcriptogramer")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioinformatics/btz007.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for transcriptogramer version 1.34.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy