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GenoGAM

Bioc removed

A GAM based framework for analysis of ChIP-Seq data

v2.14.0 · GPL-2

Release Lineage

Entered 3.3 · May 4, 2016

Removed after 3.15 · Apr 27, 2022

1.0 In 13 of 49 releases 3.23

Description

This package allows statistical analysis of genome-wide data with smooth functions using generalized additive models based on the implementation from the R-package 'mgcv'. It provides methods for the statistical analysis of ChIP-Seq data including inference of protein occupancy, and pointwise and region-wise differential analysis. Estimation of dispersion and smoothing parameters is performed by cross-validation. Scaling of generalized additive model fitting to whole chromosomes is achieved by parallelization over overlapping genomic intervals.

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None published for Bioconductor

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Code

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Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GenoGAM")
Stricker, G., Engelhardt, A., & Gagneur, J. (2022). GenoGAM: A GAM based framework for analysis of ChIP-Seq data (Version 2.14.0) [Computer software]. https://bioconductor.org/packages/GenoGAM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 GenoGAM version 2.14.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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