# generic methods for "DpeakMotif" class
setMethod(
f = "get_motif",
signature = "DpeakMotif",
definition = function(x) x@motif
)
setMethod(
f = "get_locMotif",
signature = "DpeakMotif",
definition = function(x) x@locMotif
)
setMethod(
f="show",
signature="DpeakMotif",
definition=function( object ) {
# extract objects
motifIden <- get_motif(object)
locMotif <- get_locMotif(object)
if ( all(is.na(unlist(locMotif))) ) {
# if no peak includes a motif
cat( "------------------------------------------------------------\n" )
cat( "Info: Preprocessing summary\n" )
cat( "------------------------------------------------------------\n" )
cat( "Identified motif:\n", sep="" )
for ( i in seq_len(length(motifIden)) ) {
cat( "\t",motifIden[i],"\n", sep="" )
}
cat( "Note: No peak contains detected motifs.\n")
cat( "------------------------------------------------------------\n" )
} else {
# info about preprocessing
# - identified motif, # detected motifs
listMotifVec <- list()
k <- 1
for ( i in seq_len(length(locMotif)) ) {
if ( !is.na(locMotif[[i]][1]) ) {
listMotifVec[[k]] <- locMotif[[i]]
k <- k + 1
}
}
cat( "------------------------------------------------------------\n" )
cat( "Info: Preprocessing summary\n" )
cat( "------------------------------------------------------------\n" )
cat( "Identified motif:\n", sep="" )
for ( i in seq_len(length(motifIden)) ) {
cat( "\t",motifIden[i],"\n", sep="" )
}
cat( "Number of peaks containing detected motifs: ",length(listMotifVec),"\n", sep="" )
cat( "Number of peaks missing detected motifs: ",( length(locMotif) - length(listMotifVec) ),"\n", sep="" )
cat( "Median number of regulatory sequences in each peak: ",median( sapply( listMotifVec, length ) ),"\n", sep="" )
cat( "\t(after excluding peaks missing detected motifs)\n" )
cat( "------------------------------------------------------------\n" )
}
}
)
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