GenoGAM: GenoGAM: A package providing a framework to analyse ChIP-Seq...

In gstricker/GenoGAM: A GAM based framework for analysis of ChIP-Seq data

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.

Author(s)

Maintainer: Georg Stricker [e-mail]

Authors:

• Alexander Engelhardt [e-mail]

• Julien Gagneur [e-mail]

See Also

Useful links:

• https://github.com/gstricker/GenoGAM

• Report bugs at https://github.com/gstricker/GenoGAM/issues

gstricker/GenoGAM documentation built on July 15, 2019, 7:39 p.m.