diff --git a/05-annotation_activity.Rmd b/05-annotation_activity.Rmd
new file mode 100644
index 00000000..60f3ee6a
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+++ b/05-annotation_activity.Rmd
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+# Annotation: Hands-On Exercise 
+
+Now it's your turn to try! 
+
+
+## The Code
+
+Here's some code that hasn't been annotated particularly well.
+
+```{r}
+library(qqman)
+library(beepr)
+
+
+# The list of datasets
+
+datasets=c("fivehmc.glmmtmb.all.cing","fivehmc.glmmtmb.all.pari","fivemc.glmmtmb.cingulate","fivemc.glmmtmb.parietal")
+
+mod=c("5hmc","5hmc","5mc","5mc") # For labeling purposes
+tissues=rep(c("Cingulate","Parietal"),2) # For labeling purposes
+
+if(dir.exists(paste0(home,"/ManhattanPlots"))==FALSE){ # For storing the graphs
+  dir.create(paste0(home,"/ManhattanPlots"))
+}
+tissues.f=c("Cingulate","Cingulate","Parietal","Parietal")
+stage=c("limbic","neocortical","limbic","neocortical")
+
+fdr.p=data.frame(t(c(rep(0,4))))
+colnames(fdr.p)=c("FC","HolP","tissues","stage")
+fdr.p=fdr.p[-1,]
+
+for(ii in 1:length(fdr.files)){
+xx=read.table(paste0(home,"/",fdr.files[ii]),row.names=1,skip=1)
+xx=cbind(xx,rep(tissues.f[ii],nrow(xx)),rep(stage[ii],nrow(xx)))
+colnames(xx)=c("FC","HolP","tissues","stage")
+fdr.p=rbind(fdr.p,xx)
+}
+
+
+for(ii in 1:length(datasets)){
+data=eval(parse(text=datasets[ii]))
+
+probes=rownames(data) 
+
+# Match the probe names 
+if(ii<3){
+yy=fdr.p[which(fdr.p[,3]==tissues[ii]),]
+yy=yy[match(probes,rownames(yy)),]
+yy=yy[which(!is.na(yy[,1])),]
+
+yy.l=yy[which(yy[,4]=="limbic"),]
+yy.n=yy[which(yy[,4]=="neocortical"),]
+
+  probes.l=rownames(yy.l)
+}else{
+  probes.l=rownames(data) 
+}
+
+xx.l=match(probes.l,EPIC.manifest@ranges@NAMES)
+
+chrs.l=EPIC.manifest@elementMetadata@listData$chrmA[xx.l] 
+#manhattan function requires chromosomes to be noted as numeric vector with X, Y, and MT chrs being 23:25 respectively. 
+chrs.l=gsub("chr","",chrs.l) 
+chrs.l=gsub("X",23,chrs.l)
+chrs.l=gsub("Y",24,chrs.l)
+chrs.l=gsub("MT",25,chrs.l)
+
+if(ii<3){
+probes.n=rownames(yy.n)
+xx.n=match(probes.n,EPIC.manifest@ranges@NAMES)
+
+chrs.n=EPIC.manifest@elementMetadata@listData$chrmA[xx.n] 
+#manhattan function requires chromosomes to be noted as numeric vector with X, Y, and MT chrs being 23:25 respectively. 
+chrs.n=gsub("chr","",chrs.n) 
+chrs.n=gsub("X",23,chrs.n)
+chrs.n=gsub("Y",24,chrs.n)
+chrs.n=gsub("MT",25,chrs.n)
+
+# Make a dataframe
+manh.data.l=data.frame(probes.l,         
+           as.numeric(chrs.l),
+           EPIC.manifest@ranges@start[xx.l],
+           -log10(yy.l[,2]),
+           stringsAsFactors = FALSE)
+
+manh.data.n=data.frame(probes.n,         
+           as.numeric(chrs.n),
+           EPIC.manifest@ranges@start[xx.n],
+           -log10(yy.n[,2]),
+           stringsAsFactors = FALSE)
+colnames(manh.data.l)=colnames(manh.data.n)=c("CPG","CHR","BP","P")
+
+}else{
+  manh.data.l=data.frame(probes.l,         
+                         as.numeric(chrs.l),
+                         EPIC.manifest@ranges@start[xx.l],
+                         -log10(data$LimbicVSNoneFDR),
+                         -log10(data$NeocorticalVSNoneFDR),
+                         stringsAsFactors = FALSE)
+  colnames(manh.data.l)=c("CPG","CHR","BP","P","NP")
+  manh.data.l=manh.data.l[-which(manh.data.l$NP==Inf),]
+  
+  xx=unique(which(is.nan(manh.data.l$NP)),which(is.nan(manh.data.l$P)))
+  if(length(xx)>0){
+  manh.data.l=manh.data.l[-xx,]
+  }
+}
+
+# Label them as such. 
+
+manh.data.l=manh.data.l[-which(manh.data.l$P==Inf),]
+manh.data.l$CPG=as.character(manh.data.l$CPG) # CPG's need to be a character vector
+manh.data.l$CHR=as.numeric(manh.data.l$CHR) # Chromsomal locations need to be numeric
+manh.data.l$BP= as.numeric(manh.data.l$BP)
+manh.data.l=manh.data.l[which(!is.na(manh.data.l$CHR)),]
+
+if(ii<3){
+manh.data.n=manh.data.n[-which(manh.data.n$P==Inf),]
+manh.data.n$CPG=as.character(manh.data.n$CPG) # CPG's need to be a character vector
+manh.data.n$CHR=as.numeric(manh.data.n$CHR) # Chromsomal locations need to be numeric
+manh.data.n$BP= as.numeric(manh.data.n$BP)
+manh.data.n=manh.data.n[which(!is.na(manh.data.n$CHR)),]
+
+}
+
+# Manhattan Plot for Limbic data
+jpeg(paste0(home,"/ManhattanPlots/",datasets[ii],"MidManhattan2.jpeg"))
+if(ii<3){
+sig=manh.data.l$CPG[which(manh.data.l$P>3)]
+manhattan(manh.data.l,chr="CHR",bp="BP",p="P",snp="CPG",logp=F,ylim=c(0,round(max(manh.data.l$P))+10),highlight=sig,chrlabs=c(1:22, "X", "Y"),suggestiveline=FALSE,genomewideline=TRUE,main=paste( mod[ii],tissues[ii],"Mid Stage Disease"))
+}else{
+sig=manh.data.l$CPG[which(manh.data.l$P>3)]
+manhattan(manh.data.l,chr="CHR",bp="BP",p="P",snp="CPG",ylim=c(0,round(max(manh.data.l$P[!is.na(manh.data.l$P)]))),logp=F,highlight=sig,chrlabs=c(1:22, "X", "Y"),suggestiveline=FALSE,genomewideline=TRUE,main=paste( mod[ii],tissues[ii],"Mid Stage Disease"))
+}
+# highlight probes
+abline(h=-log10(.001),col="red") 
+dev.off()
+
+# Manhattan Plot for Neocortical data
+jpeg(paste0(home,"/ManhattanPlots/",datasets[ii],"LateManhattan2.jpeg"))
+if(ii<3){
+  sig=manh.data.n$CPG[which(manh.data.n$P>3)]
+  manhattan(manh.data.n,chr="CHR",bp="BP",p="P",snp="CPG",ylim=c(0,round(max(manh.data.l$P))+10),logp=F,highlight=sig,chrlabs=c(1:22, "X", "Y"),suggestiveline=FALSE,genomewideline=TRUE,main=paste(mod[ii],tissues[ii],"Late Stage Disease"))
+}else{
+  sig=manh.data.l$CPG[which(manh.data.l$NP>3)]
+  manhattan(manh.data.l,chr="CHR",bp="BP",p="NP",snp="CPG",ylim=c(0,round(max(manh.data.l$NP))),logp=F,highlight=sig,chrlabs=c(1:22, "X", "Y"),suggestiveline=FALSE,genomewideline=TRUE,main=paste(mod[ii],tissues[ii],"Late Stage Disease"))
+}
+  abline(h=-log10(.001),col="red")
+  dev.off()
+
+
+}
+# Just a nifty way to signal that your graphs are finished being made. 
+beep(sound=2)
+```
+
+## Questions
+
+1. Create a README file for this code. Make sure that it includes general purpose of the project, instructions on how to re-run the project, any software required by the project, both input and output file descriptions, and descriptions of any additional tools included in the project.
+
+2. How can the annotation for this section be improved?
+
+```
+# Make a dataframe
+manh.data.l=data.frame(probes.l,         
+           as.numeric(chrs.l),
+           EPIC.manifest@ranges@start[xx.l],
+           -log10(yy.l[,2]),
+           stringsAsFactors = FALSE)
+
+manh.data.n=data.frame(probes.n,         
+           as.numeric(chrs.n),
+           EPIC.manifest@ranges@start[xx.n],
+           -log10(yy.n[,2]),
+           stringsAsFactors = FALSE)
+colnames(manh.data.l)=colnames(manh.data.n)=c("CPG","CHR","BP","P")
+```
+
+```{r}
+devtools::session_info()
+```
diff --git a/_bookdown.yml b/_bookdown.yml
index 5e18bbd0..9ee5edb4 100644
--- a/_bookdown.yml
+++ b/_bookdown.yml
@@ -9,6 +9,7 @@ rmd_files: ["index.Rmd",
             "04-refactoring.Rmd",
             "04-refactoring_activity.Rmd",
             "05-annotation.Rmd",
+            "05-annotation_activity.Rmd",
             "06-understanding_other_ppl_code.Rmd",
             "06-understanding_other_ppl_code_activity.Rmd",
             # Further learning