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DOTSeq

Bioc current

Genome-wide Detection of Differential ORF Usage

v1.0.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.23 · Apr 29, 2026

Current · Requires R 4.6

1.0 In 1 of 49 releases 3.23

Description

Differential open reading frame (ORF) translation analysis framework for ribosome profiling (Ribo-seq) with matched RNA-seq. Implements (i) Differential ORF Usage (DOU), a beta-binomial generalized linear model that models the expected proportion of Ribo-seq versus RNA-seq reads mapping to each ORF within a gene, and (ii) ORF-level Differential Translation Efficiency (DTE), a negative binomial GLM that capture changes in translation efficiency of individual ORFs across experimental conditions. Supports ORF-level read summarization for bulk and single-cell Ribo-seq.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

81 14 exported

Complexity

8.8 avg / 78 max

Call network

81 nodes / 87 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

17,726

Files

126

Compiled share

2.6%

Has compiled src

Yes

Language breakdown

R 9,719 (54.8%)C/C++/src 454 (2.6%)Tests 1,873 (10.6%)Docs 4,611 (26%)Vignettes 1,069 (6%)

API

Exported functions

24

Internal functions

53

Recent export changes

v3.23+24 getContrasts<-, getDOU<-, getDTE<- +21 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.19

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

25%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

1

First release

2026-04-28

Latest release

2026-04-28

Avg cadence

Cold removal rate

Dep drift

0

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

Documentation

Documentation
READMEYes · 369 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
58%
Documented parameters
90%
Return-value docs
94%
References docs
34%

Topics

People

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