ggkegg | 用这个神包玩转kegg数据库吧！~（一）

1写在前面

好久没更了，实在是太忙了，值班真的是根本不不睡觉啊，一忙一整天，忙到怀疑人生。😭

最近看到比较🔥的就是ggkegg包，感觉使用起来还是有一定难度的。🫠

和大家分享一下使用教程吧，还有一些小坑。💪

2用到的包

rm(list = ls())
library(ggkegg)
library(ggfx)
library(ggraph)
library(igraph)
library(clusterProfiler)
library(dplyr)
library(tidygraph)

3小试牛刀

首先以eco00270为例，获取后转换路径和eco标识符，删除无连接节点并返回igraph对象。🤪

g <- ggkegg(pid="eco00270",
            convert_org = c("pathway","eco"),
            delete_zero_degree = T,
            return_igraph = T)

gg <- ggraph(g, layout="stress") 
gg$data$type  %>%  unique()

gg + geom_edge_diagonal(
  aes(color=subtype_name,
      filter=type!="maplink"))+
  geom_node_point(
  aes(filter= !type%in%c("map","compound")),
    fill=gg$data[!gg$data$type%in%c("map","compound"),]$bgcolor,
    color="black",
    shape=21, size=4
  )+
  geom_node_point(
    aes(filter= !type%in%c("map","gene")),
    fill=gg$data[!gg$data$type%in%c("map","gene"),]$bgcolor,
    color="black",
    shape=21, size=6
  )+
  geom_node_text(
    aes(label=converted_name,
        filter=type=="gene"),
    repel=T,
    bg.colour="white")+
  theme_void()

4改变nodes颜色

颜狗必备技能，修改配色。😘

g <- pathway("ko00520")
V(g)$color_one <- colorRampPalette(RColorBrewer::brewer.pal(5,"Set1"))(length(V(g)))
V(g)$color_two <- colorRampPalette(RColorBrewer::brewer.pal(5,"Set2"))(length(V(g)))

ggraph(g, x=x, y=y) +
  geom_node_rect(aes(xmin=xmin, xmax=x, fill=I(color_one)), alpha=0.5)+
  geom_node_rect(aes(xmin=x, xmax=xmax, fill=I(color_two)), alpha=0.5)+
  ggfx::with_outer_glow(geom_node_text(aes(label=name %>% 
                       strsplit(":") %>% 
                       sapply("[", 2) %>%
                       strsplit(" ") %>%
                       sapply("[", 1),
                     filter=type=="ortholog"),
                     size=2), colour="white", expand=1)

---

V(g)$color_one <- colorRampPalette(RColorBrewer::brewer.pal(5,"Set1"))(length(V(g)))
V(g)$color_two <- colorRampPalette(RColorBrewer::brewer.pal(5,"Set2"))(length(V(g)))
V(g)$color_three <- colorRampPalette(RColorBrewer::brewer.pal(5,"PuOr"))(length(V(g)))
V(g)$color_four <- colorRampPalette(RColorBrewer::brewer.pal(5,"Paired"))(length(V(g)))

V(g)$space <- V(g)$width/4

ggraph(g, x=x, y=y) +
  geom_node_rect(aes(xmin=xmin, xmax=xmin+space, fill=I(color_one), filter=type=="ortholog"))+
  geom_node_rect(aes(xmin=xmin+space, xmax=xmin+2*space, fill=I(color_two), filter=type=="ortholog"))+
  geom_node_rect(aes(xmin=xmin+2*space, xmax=xmin+3*space, fill=I(color_three), filter=type=="ortholog"))+
  geom_node_rect(aes(xmin=xmin+3*space, xmax=xmin+4*space, fill=I(color_four), filter=type=="ortholog"))+
  ggfx::with_outer_glow(geom_node_text(aes(label=name %>% 
                                             strsplit(":") %>% 
                                             sapply("[", 2) %>%
                                             strsplit(" ") %>%
                                             sapply("[", 1),
                                           filter=type=="ortholog"),
                                       size=2), colour="white", expand=1)+
  theme_void()

5Global maps展示

更宏观的展示结果。🤩

pathway("ko01200") %>% 
    process_reaction() %>%
    activate(nodes) %>% 
    mutate(x=NULL, y=NULL,
       comp=convert_id("compound")) %>%
    mutate(degree=centrality_degree(mode="all")) %>%
ggraph(layout="kk")+
    geom_node_point(aes(color=degree,
                        filter=type=="compound"))+
    geom_edge_parallel(
        color="grey",
        end_cap=circle(1,"mm"),
        start_cap=circle(1,"mm"),
        arrow=arrow(length=unit(1,"mm"),type="closed"))+
    geom_node_text(aes(label=comp,filter=degree>15),
                   repel=TRUE, bg.colour="white")+
    theme_graph()

6highlight指定nodes和edges

可以使用highligh_set_edges和highlight_set_nodes函数突出你想要突出的nodes和edges。😘

pathway("ko01230") %>% 
  process_line() %>%
  activate(nodes) %>%
  mutate(
    compound=convert_id("compound"),
    M00002=highlight_set_nodes(module("M00002")@reaction_components)) %>%
  activate(edges) %>%
  mutate(M00002=highlight_set_edges(module("M00002")@definition_components)) %>%
  ggraph(x=x, y=y)+
  geom_edge_link()+
  with_outer_glow(geom_edge_link(aes(color=M00002, filter=M00002)),
                  colour="pink")+
  geom_node_point(shape=21,aes(filter=type!="line"))+
  with_outer_glow(geom_node_point(shape=21, aes(filter=M00002, color=M00002)),
                  colour="pink")+
  geom_node_text(aes(label=compound, filter=M00002), repel=TRUE,
                 bg.colour="white", size=2)+
  theme_void()

---

我们试着突出一下代谢相关pathway（ko01100）,需要用到M00021的module。😋

g <- pathway("ko01100") %>% 
  process_line() %>%
  highlight_module(module("M00021")) %>%
  mutate(compound=convert_id("compound"))

g %>% ggraph(x=x, y=y) +
  geom_node_point(size=1, aes(color=I(fgcolor),
    filter=fgcolor!="none" & type!="line"))+
  geom_edge_link(width=0.1, aes(color=I(fgcolor),
                                filter=type=="line"& fgcolor!="none"))+
  with_outer_glow(
    geom_edge_link(width=1,
                   aes(color=I(fgcolor),
                       filter=fgcolor!="none" & M00021)),
    colour="red", expand=3
  )+
  with_outer_glow(
    geom_node_point(size=2,
                   aes(color=I(fgcolor),
                       filter=fgcolor!="none" & M00021)),
    colour="red", expand=3
  )+
  theme_void()

---

可以看到多个module涉及Cysteine和methionine的代谢，我们可以通过使用ggforce来高亮M00017。😘

list_of_modules <- c("M00021","M00338","M00609","M00017","M00034","M00035","M00368")
for (mm in list_of_modules) {
  g <- g %>% highlight_module(module(mm))
}

ggraph(g,x=x,y=y,layout="manual") +
  geom_edge_link0(width=0.5, color="grey")+
  geom_edge_link(color="red",aes(filter=M00017|M00021|M00338|M00609|M00034|M00035|M00368))+
geom_node_point(size=2, color="red",aes(filter=M00017|M00021|M00338|M00609|M00034|M00035|M00368))+
  ggforce::geom_mark_rect(aes(fill=M00017,
                              label=module("M00017")@name,
                              x=x, y=y,
                              group=M00017,
                              filter=M00017),
                          label.fill = "transparent",
                          label.fontsize = 10,
                          expand=unit(1,"mm"))+
  theme_void()

---

可视化一下compounds，可以用geom_node_text,ggrepel, 和shadowtext。🤪

Rg %>% ggraph(x=x, y=y) +
  geom_node_point(size=1, aes(color=I(fgcolor),
    filter=fgcolor!="none" & type!="line"))+
  geom_edge_link(width=0.1, aes(color=I(fgcolor),
                                filter=type=="line"& fgcolor!="none"))+
  with_outer_glow(
    geom_edge_link(width=1,
                   aes(color=I(fgcolor),
                       filter=fgcolor!="none" & M00021)),
    colour="red", expand=3
  )+
  with_outer_glow(
    geom_node_point(size=2,
                   aes(color=I(fgcolor),
                       filter=fgcolor!="none" & M00021)),
    colour="red", expand=3
  )+
    geom_node_text(aes(label=compound, filter=M00021),
                   repel=T, bg.colour="white", size=5)+
  theme_void()

---

局部放大一下！~😘

annot <- g %>%  ggraph(x=x, y=y)+
  with_outer_glow(
    geom_edge_link(width=1,
                   aes(color=I(fgcolor),
                       filter=fgcolor!="none" & M00021)),
    colour="red", expand=3
  )+
  with_outer_glow(
    geom_node_point(size=2,
                    aes(color=I(fgcolor),
                        filter=fgcolor!="none" & M00021)),
    colour="red", expand=3
  )+
    geom_node_text(aes(label=compound, filter=M00021),
                   repel=TRUE, bg.colour="white", size=5)
g %>%
  ggraph(x=x, y=y) +
  geom_node_point(size=1, aes(color=I(fgcolor),
                              filter=fgcolor!="none" & type!="line"))+
  geom_edge_link(width=0.1, aes(color=I(fgcolor),
                                filter=type=="line"& fgcolor!="none"))+
  with_outer_glow(
    geom_edge_link(width=1,
                   aes(color=I(fgcolor),
                       filter=fgcolor!="none" & M00021)),
    colour="red", expand=3
  )+
  with_outer_glow(
    geom_node_point(size=2,
                    aes(color=I(fgcolor),
                        filter=fgcolor!="none" & M00021)),
    colour="red", expand=3
  )+
  annotation_custom(ggplotify::as.grob(annot),
    ymin=-1500, ymax=0, xmin=0, xmax=1500)+
  theme_void()

---

最后祝大家早日不卷!~

---

点个在看吧各位~ ✐.ɴɪᴄᴇ ᴅᴀʏ 〰

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