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normalize450K

Bioc current

Preprocessing of Illumina Infinium 450K data

v1.40.0 · Package record · software · BSD_2_clause + file LICENSE

Release Lineage

Entered 3.3 · May 4, 2016

Current · Requires R 4.6

1.0 In 21 of 49 releases 3.23

Description

Precise measurements are important for epigenome-wide studies investigating DNA methylation in whole blood samples, where effect sizes are expected to be small in magnitude. The 450K platform is often affected by batch effects and proper preprocessing is recommended. This package provides functions to read and normalize 450K '.idat' files. The normalization corrects for dye bias and biases related to signal intensity and methylation of probes using local regression. No adjustment for probe type bias is performed to avoid the trade-off of precision for accuracy of beta-values.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

4 4 exported

Complexity

3.5 avg / 7 max

Call network

4 nodes / 0 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

411

Files

12

Compiled share

0%

Has compiled src

No

Language breakdown

R 256 (62.3%)Docs 100 (24.3%)Vignettes 55 (13.4%)

API

Exported functions

4

Internal functions

0

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.3

System requirements

–

C++ standard

–

License

BSD_2_clause + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

21

First release

2016-05-03

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.3: 403 LOCv3.4: 403 LOCv3.5: 411 LOCv3.6: 411 LOCv3.7: 411 LOCv3.8: 411 LOCv3.9: 411 LOCv3.10: 411 LOCv3.11: 411 LOCv3.12: 411 LOCv3.13: 411 LOCv3.14: 411 LOCv3.15: 411 LOCv3.16: 411 LOCv3.17: 411 LOCv3.18: 411 LOCv3.19: 411 LOCv3.20: 411 LOCv3.21: 411 LOCv3.22: 411 LOCv3.23: 411 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 · staticNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
0%1 never run
Exported functions with examples
50%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

People (from the free-text Author field)

Cite

Cite this package

Run in R for the authors' entry:

citation("normalize450K")

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

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 normalize450K version 1.40.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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