get.t1d.regions: Obtain a listing of known T1D associated genomic regions

In humarray: Simplify Analysis and Annotation of Human Microarray Datasets

Description

Deprecated as this data is no longer available online This function uses a full list of ichip dense regions combined with a list of t1d SNPs to get the t1d regions. For type 1 diabetes researchers.

Usage

get.t1d.regions(dense.reg = NULL, build = NULL, invert = FALSE)

Arguments

dense.reg	GRanges or RangedData object, only use if you need to provide for a build other than 36 or 37 (hg18/hg19).
build	e.g, 36/hg18 or 37/hg19, if left as NULL current getOption('ucsc') will be used.
invert	logical, set to TRUE if you wish to get the set of NON-T1D regions.

Value

a GRanges object with the specified type 1 diabetes (or inverse) ranges

Examples

# t1d.reg <- get.t1d.regions()
# non.t1d <- get.t1d.regions(build=36,invert=TRUE)

humarray documentation built on Nov. 20, 2017, 1:05 a.m.