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ACME

Bioc current

Algorithms for Calculating Microarray Enrichment (ACME)

v2.68.0 · software · GPL (>= 2)

Release Lineage

Entered 2.0 · Apr 26, 2007

Current · Requires R 4.6

1.0 In 39 of 49 releases 3.23

Description

ACME (Algorithms for Calculating Microarray Enrichment) is a set of tools for analysing tiling array ChIP/chip, DNAse hypersensitivity, or other experiments that result in regions of the genome showing "enrichment". It does not rely on a specific array technology (although the array should be a "tiling" array), is very general (can be applied in experiments resulting in regions of enrichment), and is very insensitive to array noise or normalization methods. It is also very fast and can be applied on whole-genome tiling array experiments quite easily with enough memory.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

17 7 exported

Complexity

3.7 avg / 6 max

Call network

17 nodes / 4 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

1,289

Files

30

Compiled share

7.2%

Has compiled src

Yes

Language breakdown

R 537 (41.7%)C/C++/src 93 (7.2%)Docs 567 (44%)Vignettes 92 (7.1%)

API

Exported functions

7

Internal functions

7

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Return-value doc rate

71.4%

\dontrun example ratio

0%

Roxygen coverage

100%

Has pkgdown

No

NEWS present

No

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

16.7%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

2.10

System requirements

C++ standard

License

GPL (>= 2)

License flags

SPDX valid, OSI approved

History

Versions

39

First release

2007-04-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

5

LOC over versions

v2.0: 770 LOCv2.1: 771 LOCv2.2: 771 LOCv2.3: 772 LOCv2.4: 772 LOCv2.5: 1,142 LOCv2.6: 1,142 LOCv2.7: 1,144 LOCv2.8: 1,144 LOCv2.9: 1,206 LOCv2.10: 1,206 LOCv2.11: 1,206 LOCv2.12: 1,206 LOCv2.13: 1,206 LOCv2.14: 1,298 LOCv3.0: 1,292 LOCv3.1: 1,292 LOCv3.2: 1,292 LOCv3.3: 1,292 LOCv3.4: 1,292 LOCv3.5: 1,292 LOCv3.6: 1,292 LOCv3.7: 1,292 LOCv3.8: 1,292 LOCv3.9: 1,292 LOCv3.10: 1,292 LOCv3.11: 1,292 LOCv3.12: 1,292 LOCv3.13: 1,292 LOCv3.14: 1,292 LOCv3.15: 1,292 LOCv3.16: 1,292 LOCv3.17: 1,292 LOCv3.18: 1,292 LOCv3.19: 1,292 LOCv3.20: 1,292 LOCv3.21: 1,292 LOCv3.22: 1,292 LOCv3.23: 1,289 LOC

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

Topics

Depended on by (1)

Bioconductor (1)

People