CpGassoc: Association between Methylation and a phenotype of interest

CpGassoc is designed to test for association between methylation at CpG sites across the genome and a phenotype of interest, adjusting for any relevant covariates. The package can perform standard analyses of large datasets very quickly with no need to impute the data. It can also handle mixed effects models with chip or batch entering the model as a random intercept. CpGassoc also includes tools to apply quality control filters, perform permutation tests, and create QQ plots, manhattan plots, and scatterplots for individual CpG sites.

Version: 2.11
Depends: R (≥ 2.10), nlme
Suggests: qvalue
Published: 2014-01-10
Author: Barfield, R., Conneely, K., Kilaru,V
Maintainer: R Barfield <rbarfield01 at fas.harvard.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: CpGassoc results

Downloads:

Reference manual: CpGassoc.pdf
Vignettes: CpGassoc reference
Package source: CpGassoc_2.11.tar.gz
MacOS X binary: CpGassoc_2.11.tgz
Windows binary: CpGassoc_2.11.zip
Old sources: CpGassoc archive