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pram

Bioc current

Pooling RNA-seq datasets for assembling transcript models

v1.28.0 · Package record · software · GPL (>= 3)

Release Lineage

Entered 3.9 · May 3, 2019

Current · Requires R 4.6

1.0 In 15 of 49 releases 3.23

Description

Publicly available RNA-seq data is routinely used for retrospective analysis to elucidate new biology. Novel transcript discovery enabled by large collections of RNA-seq datasets has emerged as one of such analysis. To increase the power of transcript discovery from large collections of RNA-seq datasets, we developed a new R package named Pooling RNA-seq and Assembling Models (PRAM), which builds transcript models in intergenic regions from pooled RNA-seq datasets. This package includes functions for defining intergenic regions, extracting and pooling related RNA-seq alignments, predicting, selected, and evaluating transcript models.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

58 5 exported

Complexity

2.1 avg / 8 max

Call network

58 nodes / 45 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

3,617

Files

51

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,262 (62.5%)Tests 486 (13.4%)Docs 446 (12.3%)Vignettes 423 (11.7%)

API

Exported functions

6

Internal functions

53

Recent export changes

v3.9+6 buildModel, defIgRanges, evalModel +3 more

Testing

Has tests

Yes

Test-to-code ratio

0.21

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

61.5%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6

System requirements

–

C++ standard

–

License

GPL (>= 3)

License flags

SPDX valid, OSI approved

History

Versions

15

First release

2019-05-02

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

2

LOC over versions

v3.9: 3,616 LOCv3.10: 3,617 LOCv3.11: 3,617 LOCv3.12: 3,617 LOCv3.13: 3,617 LOCv3.14: 3,617 LOCv3.15: 3,617 LOCv3.16: 3,617 LOCv3.17: 3,617 LOCv3.18: 3,617 LOCv3.19: 3,617 LOCv3.20: 3,617 LOCv3.21: 3,617 LOCv3.22: 3,617 LOCv3.23: 3,617 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
READMEYes · 557 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileYes · cites a publication
Help pages
6
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/pliu55/pram on 2026-10-18.

Continuous integration (1)
Travis CI (config file)
Docs source (1)

GitHub Pages site last deployed 2019-03-24

How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 6
NameClassSizeAlso in
hg19data.frame92 × 22 packages
hg38data.frame454 × 2No other package
mm10data.frame65 × 2No other package
mm9data.frame34 × 2No other package
plcfdata.frame4,889 × 6No other package
tgtdata.frame4,307 × 5No other package

All of pram's data objects

Topics

Maintainer
Peng Liu

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("pram")

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

It points to 10.1101/gr.252445.119.

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 pram version 1.28.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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