recipe bioconductor-hireewas

Detection of cell-type-specific risk-CpG sites in epigenome-wide association studies

Homepage

https://bioconductor.org/packages/3.11/bioc/html/HIREewas.html

License

GPL (>= 2)

Recipe

/bioconductor-hireewas/meta.yaml

In epigenome-wide association studies, the measured signals for each sample are a mixture of methylation profiles from different cell types. The current approaches to the association detection only claim whether a cytosine-phosphate-guanine (CpG) site is associated with the phenotype or not, but they cannot determine the cell type in which the risk-CpG site is affected by the phenotype. We propose a solid statistical method, HIgh REsolution (HIRE), which not only substantially improves the power of association detection at the aggregated level as compared to the existing methods but also enables the detection of risk-CpG sites for individual cell types. The “HIREewas” R package is to implement HIRE model in R.

package bioconductor-hireewas

(downloads) docker_bioconductor-hireewas

Versions

1.6.0-0, 1.4.0-0, 1.2.0-1, 1.2.0-0, 1.0.2-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-hireewas

and update with:

conda update bioconductor-hireewas

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-hireewas:<tag>

(see bioconductor-hireewas/tags for valid values for <tag>)