eQTL_GTEx: Creates a eQTL track from GTEx

Description Usage Arguments Value Author(s) References Examples

View source: R/BiofeatureGraphics.R

Description

Creates a track of eQTL from GTEx using the Gviz bioconductor package. A complete list of features and their associated colours can be found in the user guide.

Usage

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eQTL_GTEx(gen="hg19",chr,start, end, bedFilePath, featureDisplay = 'all', showId=FALSE, type_stacking="squish",just_group="above")

Arguments

gen

the name of the genome. Default value=hg19

chr

The chromosome of interest

start

The starting position in the region of interest (the smallest value)

end

The end position in the region of interest (the largest value)

bedFilePath

The path of the BED file from Kheradpour and Kellis, 2014.

featureDisplay

A vector of regulatory features to be displayed, such as Predicted heterochomatin. Spelling and capitalisation of features must be identical to those in the user guide. There are three possibilities. First, the visualisation of only one feature (e.g. featureDisplay <- "Predicted heterochomatin"), only the name of the specific feature is required. Second, visualisation of a set of features, for this a vector of features is required (e.g. featureDisplay <- c("Predicted low activity","Predicted heterochomatin")). Finally, visualison all features in the genomic region, achived by using the word "all" (e.g. featureDisplay <- "all"), "all" is set by default. You can find the complete list of features and their associated colours in the user guide.

showId

logical. say if we write the name of group

type_stacking

Object of class"character", the stacking type of overlapping items on the final plot.One in c(hide, dense, squish, pack,full). More information cf the option "stacking" in Gviz

just_group

position. say where we write the name of group (choice in c("above","righ","left"))

Value

An AnnotationTrack object of Gviz

Author(s)

Tiphaine Martin

References

http://bioconductor.org/packages/release/bioc/html/Gviz.html

Got to BindingMotifsBiomart binding motif biomart

Examples

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library("Gviz")
gen <- "hg19"
chr<-"chr3"
start <- 132423172
end <- 132442807
extdata <- system.file("extdata", package="coMET",mustWork=TRUE)
bedFilePath <- file.path(extdata, "/GTEX/eQTL_Uterus_Analysis_extract100.snpgenes")


if(interactive()){
 eGTexTrackall <- eQTL_GTEx(gen,chr,start, end, bedFilePath, featureDisplay="all", showId=TRUE,just_group="left")
  plotTracks(eGTexTrackall, from = start, to = end)
} else {
  data(eGTexTrackall)
  plotTracks(eGTexTrackall, from = start, to = end)
}


if(interactive()){
 eGTexTrackSNP <- eQTL_GTEx(gen,chr,start, end, bedFilePath, featureDisplay="SNP", showId=TRUE,just_group="left")
  plotTracks(eGTexTrackSNP, from = start, to = end)
} else {
  data(eGTexTrackSNP)
  plotTracks(eGTexTrackSNP, from = start, to = end)
}

coMET documentation built on Nov. 23, 2017, 2:05 a.m.