06_Computing OEM


OEM were calculated as in Hennion et al, 2020 and this number will be used as proxy for the changes in net initiation activity at mapped active Ori (04_Actives Ori)

suppressMessages(library(GenomicRanges))
suppressMessages(library(tidyverse))
suppressMessages(library(rtracklayer))
`%+%`<-paste0
seqinfSY <- readRDS("Data/seqinfSY.rds")
rDNA_SY <- GRanges("CP029160.1",IRanges(3879940,3934000),strand="*",seqinfo=seqinfSY)
maskedTy_SY <- readRDS("Data/maskedTy_SY.rds")

Importing forks

forksBY <- readRDS("Data/forks_BYBYSY.rds") %>%
    select(chrom=chromSY,direc,X0=X0nSY,X1=X1nSY,exp) %>%
    mutate(Rep=map_chr(exp,function(x) x %>% str_remove("BY_"))) %>%
    mutate(strain="BY")
forks_BYSY.gr<- with(forksBY, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),seqinfo=seqinfSY))
fBY <- forksBY %>% 
    mutate(Ty_filter=!overlapsAny(forks_BYSY.gr,maskedTy_SY)) %>%
    filter(Ty_filter)

forksSY <- readRDS("Data/forks_SYSY.rds") %>%
    select(chrom,direc,X0,X1,exp) %>%
    mutate(Rep=map_chr(exp,function(x) x %>% str_remove("SY_"))) %>%
    mutate(strain="SY")
forks_SYSY.gr<- with(forksSY, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),seqinfo=seqinfSY))
fSY <- forksSY %>% 
    mutate(Ty_filter=!overlapsAny(forks_SYSY.gr,maskedTy_SY)) %>%
    filter(Ty_filter)

Rearrange forks and create GenomicRanges

### creating GRanges
forkBY1 <- fBY %>% filter(Rep=="rep1")
forkBY1$fid <- 1:nrow(forkBY1)
forkBY1_R <- forkBY1 %>% filter(direc=="R")
forkBY1_L <- forkBY1 %>% filter(direc=="L")
forkBY1_R.gr<- with(forkBY1_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkBY1_L.gr<- with(forkBY1_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))

forkBY2 <- fBY %>% filter(Rep=="rep2")
forkBY2$fid <- 1:nrow(forkBY2)
forkBY2_R <- forkBY2 %>% filter(direc=="R")
forkBY2_L <- forkBY2 %>% filter(direc=="L")
forkBY2_R.gr<- with(forkBY2_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkBY2_L.gr<- with(forkBY2_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))

forkSY1 <- fSY %>% filter(Rep=="rep1")
forkSY1$fid <- 1:nrow(forkSY1)
forkSY1_R <- forkSY1 %>% filter(direc=="R")
forkSY1_L <- forkSY1 %>% filter(direc=="L")
forkSY1_R.gr<- with(forkSY1_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkSY1_L.gr<- with(forkSY1_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))

forkSY2 <- fSY %>% filter(Rep=="rep2")
forkSY2$fid <- 1:nrow(forkSY2)
forkSY2_R <- forkSY2 %>% filter(direc=="R")
forkSY2_L <- forkSY2 %>% filter(direc=="L")
forkSY2_R.gr<- with(forkSY2_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkSY2_L.gr<- with(forkSY2_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))

forkBY3 <- fBY %>% filter(Rep=="rep3")
forkBY3$fid <- 1:nrow(forkBY3)
forkBY3_R <- forkBY3 %>% filter(direc=="R")
forkBY3_L <- forkBY3 %>% filter(direc=="L")
forkBY3_R.gr<- with(forkBY3_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkBY3_L.gr<- with(forkBY3_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))

forkSY3 <- fSY %>% filter(Rep=="rep3")
forkSY3$fid <- 1:nrow(forkSY3)
forkSY3_R <- forkSY3 %>% filter(direc=="R")
forkSY3_L <- forkSY3 %>% filter(direc=="L")
forkSY3_R.gr<- with(forkSY3_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkSY3_L.gr<- with(forkSY3_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))

Computing coverages and OEM

outdir <- "BigFiles/BigWig/"
cvL <- coverage(forkSY1_L.gr)
cvR <- coverage(forkSY1_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"SY1_oem_",win/1000,"k.bw"))

cvL <- coverage(forkSY2_L.gr)
cvR <- coverage(forkSY2_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"SY2_oem_",win/1000,"k.bw"))

cvL <- coverage(forkSY3_L.gr)
cvR <- coverage(forkSY3_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"SY3_oem_",win/1000,"k.bw"))

cvL <- coverage(forkBY1_L.gr)
cvR <- coverage(forkBY1_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"BY1_oem_",win/1000,"k.bw"))

cvL <- coverage(forkBY2_L.gr)
cvR <- coverage(forkBY2_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"BY2_oem_",win/1000,"k.bw"))

cvL <- coverage(forkBY3_L.gr)
cvR <- coverage(forkBY3_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"BY3_oem_",win/1000,"k.bw"))
---
title: "BYSY project Notebook"
output: html_notebook
---  
# 06_Computing OEM  

***  

OEM were calculated as in [Hennion et al, 2020](https://doi.org/10.1186/s13059-020-02013-3) and this number will be used as proxy for the changes in net initiation activity at mapped active Ori (04_Actives Ori)

```{r message=FALSE, warning=FALSE}
suppressMessages(library(GenomicRanges))
suppressMessages(library(tidyverse))
suppressMessages(library(rtracklayer))
`%+%`<-paste0
seqinfSY <- readRDS("Data/seqinfSY.rds")
rDNA_SY <- GRanges("CP029160.1",IRanges(3879940,3934000),strand="*",seqinfo=seqinfSY)
maskedTy_SY <- readRDS("Data/maskedTy_SY.rds")
```
### Importing forks
```{r message=FALSE, warning=FALSE}
forksBY <- readRDS("Data/forks_BYBYSY.rds") %>%
	select(chrom=chromSY,direc,X0=X0nSY,X1=X1nSY,exp) %>%
	mutate(Rep=map_chr(exp,function(x) x %>% str_remove("BY_"))) %>%
	mutate(strain="BY")
forks_BYSY.gr<- with(forksBY, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),seqinfo=seqinfSY))
fBY <- forksBY %>% 
	mutate(Ty_filter=!overlapsAny(forks_BYSY.gr,maskedTy_SY)) %>%
	filter(Ty_filter)

forksSY <- readRDS("Data/forks_SYSY.rds") %>%
	select(chrom,direc,X0,X1,exp) %>%
	mutate(Rep=map_chr(exp,function(x) x %>% str_remove("SY_"))) %>%
	mutate(strain="SY")
forks_SYSY.gr<- with(forksSY, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),seqinfo=seqinfSY))
fSY <- forksSY %>% 
	mutate(Ty_filter=!overlapsAny(forks_SYSY.gr,maskedTy_SY)) %>%
	filter(Ty_filter)
```

### Rearrange forks and create GenomicRanges
```{r message=FALSE, warning=FALSE}
### creating GRanges
forkBY1 <- fBY %>% filter(Rep=="rep1")
forkBY1$fid <- 1:nrow(forkBY1)
forkBY1_R <- forkBY1 %>% filter(direc=="R")
forkBY1_L <- forkBY1 %>% filter(direc=="L")
forkBY1_R.gr<- with(forkBY1_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkBY1_L.gr<- with(forkBY1_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))

forkBY2 <- fBY %>% filter(Rep=="rep2")
forkBY2$fid <- 1:nrow(forkBY2)
forkBY2_R <- forkBY2 %>% filter(direc=="R")
forkBY2_L <- forkBY2 %>% filter(direc=="L")
forkBY2_R.gr<- with(forkBY2_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkBY2_L.gr<- with(forkBY2_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))

forkSY1 <- fSY %>% filter(Rep=="rep1")
forkSY1$fid <- 1:nrow(forkSY1)
forkSY1_R <- forkSY1 %>% filter(direc=="R")
forkSY1_L <- forkSY1 %>% filter(direc=="L")
forkSY1_R.gr<- with(forkSY1_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkSY1_L.gr<- with(forkSY1_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))

forkSY2 <- fSY %>% filter(Rep=="rep2")
forkSY2$fid <- 1:nrow(forkSY2)
forkSY2_R <- forkSY2 %>% filter(direc=="R")
forkSY2_L <- forkSY2 %>% filter(direc=="L")
forkSY2_R.gr<- with(forkSY2_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkSY2_L.gr<- with(forkSY2_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))

forkBY3 <- fBY %>% filter(Rep=="rep3")
forkBY3$fid <- 1:nrow(forkBY3)
forkBY3_R <- forkBY3 %>% filter(direc=="R")
forkBY3_L <- forkBY3 %>% filter(direc=="L")
forkBY3_R.gr<- with(forkBY3_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkBY3_L.gr<- with(forkBY3_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))

forkSY3 <- fSY %>% filter(Rep=="rep3")
forkSY3$fid <- 1:nrow(forkSY3)
forkSY3_R <- forkSY3 %>% filter(direc=="R")
forkSY3_L <- forkSY3 %>% filter(direc=="L")
forkSY3_R.gr<- with(forkSY3_R, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
forkSY3_L.gr<- with(forkSY3_L, GRanges(seqnames=chrom,ranges=IRanges(pmin(X0,X1),pmax(X0,X1)),strand=case_when(direc=="R"~"+",T~"-"),fid=fid,seqinfo=seqinfSY))
```

### Computing coverages and OEM

```{r message=FALSE, warning=FALSE}
outdir <- "BigFiles/BigWig/"
cvL <- coverage(forkSY1_L.gr)
cvR <- coverage(forkSY1_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"SY1_oem_",win/1000,"k.bw"))

cvL <- coverage(forkSY2_L.gr)
cvR <- coverage(forkSY2_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"SY2_oem_",win/1000,"k.bw"))

cvL <- coverage(forkSY3_L.gr)
cvR <- coverage(forkSY3_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"SY3_oem_",win/1000,"k.bw"))

cvL <- coverage(forkBY1_L.gr)
cvR <- coverage(forkBY1_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"BY1_oem_",win/1000,"k.bw"))

cvL <- coverage(forkBY2_L.gr)
cvR <- coverage(forkBY2_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"BY2_oem_",win/1000,"k.bw"))

cvL <- coverage(forkBY3_L.gr)
cvR <- coverage(forkBY3_R.gr)
cvT <- cvL+cvR

cvLn <- cvL/cvT
cvRn <- cvR/cvT
cvLn[is.na(cvLn)] <- 0
cvRn[is.na(cvRn)] <- 0
win=10000
cvLs2 <- endoapply(cvLn, function(x) Rle(caTools::runmean(x,win,align="left",endrule="NA")))
oem2 <- endoapply(cvLs2, function(cv) c(Rle(rep(NA,(win))),cv)-c(cv,Rle(rep(NA,(win)))))
export(oem2,con=paste0(outdir,"BY3_oem_",win/1000,"k.bw"))
```
