## ----checkplatform, include=FALSE----------------------------------------
library(knitr)
if(.Platform$OS.type=="windows"){
  opts_chunk$set(eval=FALSE)
}

## ----DNAseqLogo,fig.cap="Plot a DNA sequence logo with different fonts and colors",fig.width=8,fig.height=2.5----
#  suppressPackageStartupMessages(library(motifStack))
#  pcm <- read.table(file.path(find.package("motifStack"),
#                              "extdata", "bin_SOLEXA.pcm"))
#  pcm <- pcm[,3:ncol(pcm)]
#  rownames(pcm) <- c("A","C","G","T")
#  motif <- new("pcm", mat=as.matrix(pcm), name="bin_SOLEXA")
#  ##pfm object
#  #motif <- pcm2pfm(pcm)
#  #motif <- new("pfm", mat=motif, name="bin_SOLEXA")
#  plot(motif)
#  #plot the logo with same height
#  plot(motif, ic.scale=FALSE, ylab="probability")
#  #try a different font
#  plot(motif, font="mono,Courier")
#  #try a different font and a different color group
#  motif@color <- colorset(colorScheme='basepairing')
#  plot(motif,font="Times")

## ----RNAseqLogo,fig.cap="Plot an RNA sequence logo",fig.width=6,fig.height=3----
#  rna <- pcm
#  rownames(rna)[4] <- "U"
#  motif <- new("pcm", mat=as.matrix(rna), name="RNA_motif")
#  plot(motif)

## ----AAseqLogo,fig.cap="Plot an sequence logo with any symbols as you want such as amino acid sequence logo",fig.width=6,fig.height=3----
#  library(motifStack)
#  protein<-read.table(file.path(find.package("motifStack"),"extdata","cap.txt"))
#  protein<-t(protein[,1:20])
#  motif<-pcm2pfm(protein)
#  motif<-new("pfm", mat=motif, name="CAP",
#              color=colorset(alphabet="AA",colorScheme="chemistry"))
#  plot(motif)

## ----affinityLogo,fig.cap="Plot an affinity logo",fig.width=6,fig.height=3----
#  library(motifStack)
#  motif<-matrix(
#    c(
#      .846, .631, .593, .000, .000, .000, .434, .410, 1.00, .655, .284, .000, .000, .771, .640, .961,
#      .625, .679, .773, 1.00, 1.00, .000, .573, .238, .397, 1.00, 1.00, .000, .298, 1.00, 1.00, .996,
#      1.00, 1.00, 1.00, .228, .000, 1.00, 1.00, .597, .622, .630, .000, 1.00, 1.00, .871, .617, 1.00,
#      .701, .513, .658, .000, .000, .247, .542, 1.00, .718, .686, .000, .000, .000, .595, .437, .970
#    ), nrow=4, byrow = TRUE)
#  rownames(motif) <- c("A", "C", "G", "T")
#  motif<-new("psam", mat=motif, name="affinity logo")
#  plot(motif)

## ----logostack,fig.cap="Plot motifs with sequence logo stack style",fig.width=4,fig.height=6----
#  suppressPackageStartupMessages(library(motifStack))
#  #####Input#####
#  motifs<-importMatrix(dir(file.path(find.package("motifStack"), "extdata"),"pcm$", full.names = TRUE))
#  
#  ## plot stacks
#  motifStack(motifs, layout="stack", ncex=1.0)

## ----logostack2,fig.cap="Plot affinity logos with sequence logo stack style",fig.width=4,fig.height=3.5----
#  motif2 <- motif
#  motif2$mat <- motif$mat[, 5:12]
#  motif2$name <- "logo2"
#  psamMotifs <- list(motif, motif2)
#  motifStack(psamMotifs)

## ----treestack,fig.cap="Sequence logo stack with hierarchical cluster tree",fig.width=5,fig.height=6----
#  ## plot stacks with hierarchical tree
#  motifStack(motifs, layout="tree")

## ----radialstack,fig.cap="Plot motifs in a radial style when the number of motifs is too much to be shown in a vertical stack",fig.width=6,fig.height=6----
#  ## When the number of motifs is too much to be shown in a vertical stack,
#  ## motifStack can draw them in a radial style.
#  ## random sample from MotifDb
#  library("MotifDb")
#  matrix.fly <- query(MotifDb, "Dmelanogaster")
#  motifs2 <- as.list(matrix.fly)
#  ## use data from FlyFactorSurvey
#  motifs2 <- motifs2[grepl("Dmelanogaster\\-FlyFactorSurvey\\-",
#                           names(motifs2))]
#  ## format the names
#  names(motifs2) <- gsub("Dmelanogaster_FlyFactorSurvey_", "",
#                         gsub("_FBgn\\d+$", "",
#                              gsub("[^a-zA-Z0-9]","_",
#                                   gsub("(_\\d+)+$", "", names(motifs2)))))
#  motifs2 <- motifs2[unique(names(motifs2))]
#  pfms <- sample(motifs2, 50)
#  ## creat a list of object of pfm
#  motifs2 <- lapply(names(pfms),
#                    function(.ele, pfms){new("pfm",mat=pfms[[.ele]], name=.ele)}
#                    ,pfms)
#  ## trim the motifs
#  motifs2 <- lapply(motifs2, trimMotif, t=0.4)
#  ## setting colors
#  library(RColorBrewer)
#  color <- brewer.pal(12, "Set3")
#  ## plot logo stack with radial style
#  motifStack(motifs2, layout="radialPhylog",
#             circle=0.3, cleaves = 0.2,
#             clabel.leaves = 0.5,
#             col.bg=rep(color, each=5), col.bg.alpha=0.3,
#             col.leaves=rep(color, each=5),
#             col.inner.label.circle=rep(color, each=5),
#             inner.label.circle.width=0.05,
#             col.outer.label.circle=rep(color, each=5),
#             outer.label.circle.width=0.02,
#             circle.motif=1.2,
#             angle=350)

## ----motifCloud,fig.cap="Sequence logo cloud with rectangle packing layout",fig.width=6,fig.height=6----
#  ## assign groups for motifs
#  groups <- rep(paste("group",1:5,sep=""), each=10)
#  names(groups) <- names(pfms)
#  ## assign group colors
#  group.col <- brewer.pal(5, "Set3")
#  names(group.col)<-paste("group",1:5,sep="")
#  ## use MotIV to calculate the distances of motifs
#  jaspar.scores <- MotIV::readDBScores(file.path(find.package("MotIV"),
#                                                 "extdata",
#                                                 "jaspar2010_PCC_SWU.scores"))
#  d <- MotIV::motifDistances(lapply(pfms, pfm2pwm))
#  hc <- MotIV::motifHclust(d, method="average")
#  ## convert the hclust to phylog object
#  phylog <- hclust2phylog(hc)
#  ## reorder the pfms by the order of hclust
#  leaves <- names(phylog$leaves)
#  pfms <- pfms[leaves]
#  ## create a list of pfm objects
#  pfms <- lapply(names(pfms), function(.ele, pfms){
#                                  new("pfm",mat=pfms[[.ele]], name=.ele)}
#                 ,pfms)
#  ## extract the motif signatures
#  motifSig <- motifSignature(pfms, phylog, groupDistance=0.01, min.freq=1)
#  ## draw the motifs with a tag-cloud style.
#  motifCloud(motifSig, scale=c(6, .5),
#             layout="rectangles",
#             group.col=group.col,
#             groups=groups,
#             draw.legend=TRUE)

## ----motifRadialPhylog,fig.cap="Grouped sequence logo with radialPhylog style layout",fig.width=6,fig.height=6----
#  ## get the signatures from object of motifSignature
#  sig <- signatures(motifSig)
#  ## set the inner-circle color for each signature
#  gpCol <- sigColor(motifSig)
#  ## plot the logo stack with radial style.
#  plotMotifStackWithRadialPhylog(phylog=phylog, pfms=sig,
#                                circle=0.4, cleaves = 0.3,
#                                clabel.leaves = 0.5,
#                                col.bg=rep(color, each=5), col.bg.alpha=0.3,
#                                col.leaves=rep(rev(color), each=5),
#                                col.inner.label.circle=gpCol,
#                                inner.label.circle.width=0.03,
#                                angle=350, circle.motif=1.2,
#                                motifScale="logarithmic")

## ----motifCircos,fig.cap="Grouped sequence logo with circos style layout",fig.width=6,fig.height=6----
#  ## plot the logo stack with cirsoc style.
#  motifCircos(phylog=phylog, pfms=pfms, pfms2=sig,
#              col.tree.bg=rep(color, each=5), col.tree.bg.alpha=0.3,
#              col.leaves=rep(rev(color), each=5),
#              col.inner.label.circle=gpCol,
#              inner.label.circle.width=0.03,
#              col.outer.label.circle=gpCol,
#              outer.label.circle.width=0.03,
#              r.rings=c(0.02, 0.03, 0.04),
#              col.rings=list(sample(colors(), 50),
#                             sample(colors(), 50),
#                             sample(colors(), 50)),
#              angle=350, motifScale="logarithmic")

## ----motifPiles,fig.cap="Grouped sequence logo with piles style layout",fig.width=6,fig.height=6----
#  ## plot the logo stack with pile style.
#  motifPiles(phylog=phylog, pfms=pfms, pfms2=sig,
#              col.tree=rep(color, each=5),
#              col.leaves=rep(rev(color), each=5),
#              col.pfms2=gpCol,
#              r.anno=c(0.02, 0.03, 0.04),
#              col.anno=list(sample(colors(), 50),
#                            sample(colors(), 50),
#                            sample(colors(), 50)),
#              motifScale="logarithmic",
#              plotIndex=TRUE,
#              groupDistance=0.01)

## ----motifPilesHeatmap,fig.cap="Grouped sequence logo with a heatmap",fig.width=6,fig.height=6----
#  ## plot the logo stack with heatmap.
#  df <- data.frame(A=runif(n = 50), B=runif(n = 50), C=runif(n = 50), D=runif(n = 50))
#  map2col <- function(x, pal){
#    rg <- range(x)
#    pal[findInterval(x, seq(rg[1], rg[2], length.out = length(pal)+1),
#                     all.inside = TRUE)]
#  }
#  dl <- lapply(df, map2col, pal=heat.colors(10))
#  motifPiles(phylog=phylog, pfms=pfms,
#              col.tree=rep(color, each=5),
#              col.leaves=rep(rev(color), each=5),
#              col.pfms2=gpCol,
#              r.anno=rep(0.02, length(dl)),
#              col.anno=dl,
#              motifScale="logarithmic",
#              plotIndex=TRUE,
#              groupDistance=0.01)

## ----browseMotifs,fig.width=8,fig.height=8-------------------------------
#  browseMotifs(pfms = pfms, phylog = phylog, layout="tree", yaxis = FALSE, baseWidth=6, baseHeight = 15)

## ----browseMotifsRadialPhylog,fig.width=8,fig.height=8-------------------
#  browseMotifs(pfms = pfms, phylog = phylog, layout="radialPhylog", yaxis = FALSE, xaxis = FALSE, baseWidth=6, baseHeight = 15)

## ----sessionInfo---------------------------------------------------------
#  sessionInfo()

