knitr::opts_chunk$set(echo = TRUE)
The epimutacionsData
package is a repository of datasets for the
epimutacions
package. It includes 2 datasets to use as an example:
The following code explains how to access to the data:
library(ExperimentHub) eh <- ExperimentHub() query(eh, c("epimutacionsData"))
In Illumina 450K array [@reproducibilityinfinium], probes are unequally distributed along the genome, limiting the number of regions that can fulfil the requirements to be considered an epimutation. So, we have computed a dataset containing the regions that are candidates to become an epimutation.
To define the candidate epimutations,
we relied on the clustering from bumphunter [@jaffe2012bump].
We defined a primary dataset with all the CpGs from the Illumina 450K array.
Then, we run bumphunter and selected those regions with at least 3 CpGs.
As a result, we found 40408 candidate epimutations
which are available in the candRegsGR
dataset.
candRegsGR <- eh[["EH6692"]]
The package includes an RGChannelSet
class reference panel
(reference_panel
)
which contains 22 whole cord blood samples from
healthy children born via caesarian from
the GSE127824 cohort [@gervin2019systematic].
The reference panel can be found in EH6691
record of the eh
object:
reference_panel <- eh[["EH6691"]]
The methy
dataset includes 51 DNA methylation profiling
of whole blood samples. 48 controls from GSE104812 [@shi2018dna] cohort
and 3 cases from GSE97362 [@butcher2017charge].
it is a GenomicRatioSet
class object.
methy <- eh[["EH6690"]]
The IDAT files contain raw microarray intensities of 4 case samples
from GSE131350 cohort.
The files are located on the external data of epimutacionsData
package:
library(minfi) baseDir <- system.file("extdata", package = "epimutacionsData") targets <- read.metharray.sheet(baseDir)
sessionInfo()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.