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Fig_S7_Viz.Rmd
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---
title: "Fig_S7_Viz"
author: "Troy McDiarmid"
date: "2024-02-18"
output: html_document
---
```{r setup, include=FALSE}
library(tidyverse)
library(reshape)
```
```{r}
##Read in edit efficiency data for barcode pool 1, plot.
Edit_Efficiency_BB <- read_csv("/Users/troymcdiarmid/Documents/U6_pro_series/Figs/Pub_Figs/FigS7_Final_Figure_Datasets/BB_Edit_Efficiency_Comparison_Table.csv") %>%
filter(BC_Pool == 1)
ggplot(Edit_Efficiency_BB, aes(x = Edit_Efficiency_Percent, y = fct_relevel(Cell_Type, "K562", "HEK293T", "iPSC"))) +
geom_point(size =7) +
theme_classic() +
scale_x_continuous(limits=c(0, 10)) +
theme(axis.line = element_line(colour = 'black', size = 0.8)) +
theme(axis.ticks = element_line(colour = "black", size = 0.8)) +
theme(axis.ticks.length=unit(.2, "cm")) +
labs(title = "", x = "", y = "") +
theme(legend.position = "none") +
theme(text = element_text(family="Arial", colour = "black", size = 30))
ggsave("Edit_Efficiency_BB_BC_Pool_1.jpeg", width = 10, height = 6, path = "/Users/troymcdiarmid/Documents/U6_pro_series/Figs/Pub_Figs/")
##Read in edit efficiency data for barcode pool 2, plot.
Edit_Efficiency_BB <- read_csv("/Users/troymcdiarmid/Documents/U6_pro_series/Figs/Pub_Figs/FigS7_Final_Figure_Datasets/BB_Edit_Efficiency_Comparison_Table.csv") %>%
filter(BC_Pool == 2)
ggplot(Edit_Efficiency_BB, aes(x = Edit_Efficiency_Percent, y = fct_relevel(Cell_Type, "K562", "HEK293T", "iPSC"))) +
geom_point(size =8) +
theme_classic() +
scale_x_continuous(limits=c(0, 10)) +
theme(axis.line = element_line(colour = 'black', size = 0.8)) +
theme(axis.ticks = element_line(colour = "black", size = 0.8)) +
theme(axis.ticks.length=unit(.2, "cm")) +
labs(title = "", x = "", y = "") +
theme(legend.position = "none") +
theme(text = element_text(family="Arial", colour = "black", size = 30))
ggsave("Edit_Efficiency_BB_BC_Pool_2.jpeg", width = 10, height = 6, path = "/Users/troymcdiarmid/Documents/U6_pro_series/Figs/Pub_Figs/")
```
```{r}
##Read in replicate data for BC pool 1
Replicate_Edit_Scores_BB <- read_csv("/Users/troymcdiarmid/Documents/U6_pro_series/Figs/Pub_Figs/FigS7_Final_Figure_Datasets/BB_BC1_pBC_Filtered_iBC_Normalized_Replicate_Edit_Scores_Comparison_Table.csv")
##Removing the two backbones that did not satisfy Lmax < 40
Replicate_Edit_Scores_BB <- Replicate_Edit_Scores_BB %>%
filter(!Oligo_Number %in% c("209", "17"))
##Convert NAs to zeros
Replicate_Edit_Scores_BB <- Replicate_Edit_Scores_BB %>% replace(is.na(.), 0)
##Select the relevant columns
Replicate_Edit_Scores_BB_Matrix <- Replicate_Edit_Scores_BB %>%
select(-1)
##Convert to matrix and correlate
Replicate_Edit_Scores_BB_Matrix <- as.matrix(Replicate_Edit_Scores_BB_Matrix)
Replicate_Edit_Scores_BB_Corr_Matrix <- cor(Replicate_Edit_Scores_BB_Matrix)
##Pivoting data longer for plotting
Replicate_Edit_Scores_BB_Corr_DF <- melt(Replicate_Edit_Scores_BB_Corr_Matrix)
Replicate_Edit_Scores_BB_Corr_DF <- Replicate_Edit_Scores_BB_Corr_DF %>%
separate(X1, into = c("Replicate_X", "Garbage"), sep = "_N") %>%
separate(X2, into = c("Replicate_Y", "Garbagee"), sep = "_N") %>%
select(-Garbage, !Garbagee)
Replicate_Edit_Scores_BB_Corr_DF <- Replicate_Edit_Scores_BB_Corr_DF %>%
select(Replicate_X, Replicate_Y, Corr = value) %>%
mutate(Corr = round(Corr, digits = 2))
Replicate_Edit_Scores_BB_Corr_DF$Replicate_X <- ordered(Replicate_Edit_Scores_BB_Corr_DF$Replicate_X, levels = c("K562_Rep_1", "K562_Rep_2", "K562_Rep_3","K562_Rep_4", "HEK293T_Rep_1", "HEK293T_Rep_2", "HEK293T_Rep_3", "HEK293T_Rep_4", "iPSC_Rep_1", "iPSC_Rep_2", "iPSC_Rep_3", "iPSC_Rep_4"))
Replicate_Edit_Scores_BB_Corr_DF$Replicate_Y <- ordered(Replicate_Edit_Scores_BB_Corr_DF$Replicate_Y, levels = c("iPSC_Rep_4", "iPSC_Rep_3", "iPSC_Rep_2", "iPSC_Rep_1", "HEK293T_Rep_4", "HEK293T_Rep_3", "HEK293T_Rep_2", "HEK293T_Rep_1", "K562_Rep_4", "K562_Rep_3", "K562_Rep_2", "K562_Rep_1"))
##Making correlation heatmap
ggplot(Replicate_Edit_Scores_BB_Corr_DF, aes(x = Replicate_X, y = Replicate_Y, fill = Corr)) +
geom_tile()
ggsave("BB_BC1_Replicate_Heatmap_Legend.jpeg", width = 38, height = 2.5, path = "/Users/troymcdiarmid/Documents/U6_pro_series/Figs/Pub_Figs/")
ggplot(Replicate_Edit_Scores_BB_Corr_DF, aes(x = Replicate_X, y = Replicate_Y, fill = Corr)) +
geom_tile() +
theme_void() +
geom_text(aes(label = Corr), color = "white", size = 6) +
scale_fill_continuous(limits=c(0, 1), breaks = c(0.0, 0.5, 1.0)) +
theme(axis.ticks.length=unit(0, "cm")) +
labs(title = "", x = "", y = "") +
theme(axis.text = element_text(family="Arial", colour = "black", size = 12))
ggsave("BB_BC1_Replicate_Heatmap.jpeg", width = 10, height = 8, path = "/Users/troymcdiarmid/Documents/U6_pro_series/Figs/Pub_Figs/")
##Assess the correlation range
Replicate_Edit_Scores_BB_Corr_Matrix[Replicate_Edit_Scores_BB_Corr_Matrix == 1] <- NA
range(Replicate_Edit_Scores_BB_Corr_Matrix, na.rm = TRUE)
```
```{r}
##Read in replicate data for BC pool 2
Replicate_Edit_Scores_BB <- read_csv("/Users/troymcdiarmid/Documents/U6_pro_series/Figs/Pub_Figs/FigS7_Final_Figure_Datasets/BB_BC2_pBC_Filtered_iBC_Normalized_Replicate_Edit_Scores_Comparison_Table.csv")
##Removing the two backbones that did not satisfy Lmax < 40
Replicate_Edit_Scores_BB <- Replicate_Edit_Scores_BB %>%
filter(!Oligo_Number %in% c("209", "17"))
##Convert NAs to zeros
Replicate_Edit_Scores_BB <- Replicate_Edit_Scores_BB %>% replace(is.na(.), 0)
##Select the relevant columns
Replicate_Edit_Scores_BB_Matrix <- Replicate_Edit_Scores_BB %>%
select(-1)
##Convert to matrix and correlate
Replicate_Edit_Scores_BB_Matrix <- as.matrix(Replicate_Edit_Scores_BB_Matrix)
Replicate_Edit_Scores_BB_Corr_Matrix <- cor(Replicate_Edit_Scores_BB_Matrix)
##Pivoting data longer for plotting
Replicate_Edit_Scores_BB_Corr_DF <- melt(Replicate_Edit_Scores_BB_Corr_Matrix)
Replicate_Edit_Scores_BB_Corr_DF <- Replicate_Edit_Scores_BB_Corr_DF %>%
separate(X1, into = c("Replicate_X", "Garbage"), sep = "_N") %>%
separate(X2, into = c("Replicate_Y", "Garbagee"), sep = "_N") %>%
select(-Garbage, !Garbagee)
Replicate_Edit_Scores_BB_Corr_DF <- Replicate_Edit_Scores_BB_Corr_DF %>%
select(Replicate_X, Replicate_Y, Corr = value) %>%
mutate(Corr = round(Corr, digits = 2))
Replicate_Edit_Scores_BB_Corr_DF$Replicate_X <- ordered(Replicate_Edit_Scores_BB_Corr_DF$Replicate_X, levels = c("K562_Rep_1", "K562_Rep_2", "K562_Rep_3","K562_Rep_4", "HEK293T_Rep_1", "HEK293T_Rep_2", "HEK293T_Rep_3", "HEK293T_Rep_4", "iPSC_Rep_1", "iPSC_Rep_2", "iPSC_Rep_3", "iPSC_Rep_4"))
Replicate_Edit_Scores_BB_Corr_DF$Replicate_Y <- ordered(Replicate_Edit_Scores_BB_Corr_DF$Replicate_Y, levels = c("iPSC_Rep_4", "iPSC_Rep_3", "iPSC_Rep_2", "iPSC_Rep_1", "HEK293T_Rep_4", "HEK293T_Rep_3", "HEK293T_Rep_2", "HEK293T_Rep_1", "K562_Rep_4", "K562_Rep_3", "K562_Rep_2", "K562_Rep_1"))
##Making correlation heatmap
ggplot(Replicate_Edit_Scores_BB_Corr_DF, aes(x = Replicate_X, y = Replicate_Y, fill = Corr)) +
geom_tile()
ggsave("BB_BC2_Replicate_Heatmap_Legend.jpeg", width = 38, height = 2.5, path = "/Users/troymcdiarmid/Documents/U6_pro_series/Figs/Pub_Figs/")
ggplot(Replicate_Edit_Scores_BB_Corr_DF, aes(x = Replicate_X, y = Replicate_Y, fill = Corr)) +
geom_tile() +
theme_void() +
geom_text(aes(label = Corr), color = "white", size = 6) +
scale_fill_continuous(limits=c(0, 1), breaks = c(0.0, 0.5, 1.0)) +
theme(axis.ticks.length=unit(0, "cm")) +
labs(title = "", x = "", y = "") +
theme(axis.text = element_text(family="Arial", colour = "black", size = 12))
ggsave("BB_BC2_Replicate_Heatmap.jpeg", width = 10, height = 8, path = "/Users/troymcdiarmid/Documents/U6_pro_series/Figs/Pub_Figs/")
##Assess the correlation range
Replicate_Edit_Scores_BB_Corr_Matrix[Replicate_Edit_Scores_BB_Corr_Matrix == 1] <- NA
range(Replicate_Edit_Scores_BB_Corr_Matrix, na.rm = TRUE)
```