##NOTE: Commented out in example. ##
## Please see vignette for more detailed usage information ##
## Load genome bed file ##
#data(hg19_genes_bed)
## Load curated DNA methylation bed file ##
data(methylationdata)
methylation <- methylation[-which(is.na(methylation[, 5])), ]
methylation[, 5] <- replace(methylation[, 5], methylation[, 5] == 0,
min(subset(methylation[, 5], methylation[, 5] != 0), na.rm=TRUE))
#meth1<-methylation
## make second curated test methylation bed file ##
#meth2<-methylation
## Create a PvalueAnnotation with defaults for promoter size##
#test_annotation<-makePvalueAnnotation(data=hg19_genes, gene_name_col=5)
## Load DNA methylation into PvalueAnnotation ##
#test_annotation<-annotateModification(annotation=test_annotation,
#mod_data=meth1, weight_by=c(promoter="distance",body="distance"),verbose=TRUE,
#mod_corr=TRUE,mod_type="methylation")
## Extract GRanges with modification data ##
#extractModification(test_annotation)
## Load second dataset bed file ##
#test_annotation<-annotateModification(pvalue_annotation=test_annotation,
#mod_data=meth2, weight_by=c(promoter="distance",body="distance"),
#verbose=TRUE, mod_corr=TRUE,mod_type="hydroxy")
## Extract GRanges with both modification dataset loaded ##
#head(extractModification(test_annotation,"hydroxy"))
## Unload DNA hydroxymethylation form PvalueAnnotation ##
#test_annotation<-removeModification(pvalue_annotation=test_annotation,
#mod_type="hydroxy")
## Extract GRanges to see only one modification dataset loaded ##
#head(extractModification(pvalue_annotation=test_annotation))
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