快速生成iTOL配置文件美化你的进化树

快速生成iTOL配置文件美化你的进化树

更好的阅读体验: https://mp.weixin.qq.com/s/jdBpM_cFBZLZtjtHUTl-8w

iTOL(https://itol.embl.de/)是一款很好的进化树美化软件,但是他的配置文件制作非常麻烦,给大家的使用带来了不便,这里介绍一个工具帮助大家可以从表格文件中快速生成itol需要的配置文件美化进化树。下面给出例子:

示例数据

1. 进化树数据 abunt-tree.nwk:

((OTU_47:0.101892516,OTU_46:0.205918075)0.999:0.12637554249999997,((OTU_7:0.079452354,(OTU_9:0.03389913,OTU_35:0.011411273)0.857:0.016187755)0.936:0.055036757,(((OTU_10:0.178702248,(OTU_27:0.105807393,(OTU_21:0.021742283,OTU_23:0.036247052)1.000:0.119621254)0.934:0.046734483)0.847:0.024928304,(OTU_359:0.115728596,((OTU_6:0.017083581,OTU_13:0.043230986)0.991:0.04686027,(OTU_5:0.048441113,OTU_17:0.040966445)0.874:0.016500727)0.998:0.076649272)0.884:0.025403911)0.896:0.031188452,((((OTU_4:0.016277276,OTU_1049:0.018764271)1.000:0.10486842,(OTU_61:0.033971226,OTU_66:0.014225781)0.949:0.029591816)0.938:0.030200498,(OTU_50:0.039428411,((OTU_14:0.027067745,OTU_24:0.006239384)0.713:0.003838445,(OTU_28:0.035593371,(OTU_12:0.019817974,OTU_1263:0.010126282)1.000:0.051942928)0.889:0.016154455)1.000:0.114060029)0.353:0.019135966)0.931:0.027767722,((OTU_26:0.011320021,(OTU_2:0.013893208,OTU_509:0.013184741)0.420:0.004818858)0.869:0.012841976,(((OTU_20:0.014868571,OTU_16:0.015213271)0.912:0.014485178,(OTU_19:0.042730937,OTU_31:0.03306436)0.071:0.011603998)0.445:0.011922646,(OTU_107:0.057678909,(OTU_8:5e-09,(OTU_3:0.01725298,((OTU_18:0.014018692,(OTU_11:0.009416427,OTU_756:0.019954543)0.815:0.007464513)0.616:0.003595574,(OTU_41:0.01321098,OTU_601:0.020022049)0.096:0.008198644)0.883:0.015142165)0.979:0.01496564)0.999:0.044655374)0.971:0.028869096)0.864:0.008905959)0.995:0.05488604)0.835:0.02976759)0.883:0.039831577):0.013815376500000032)root;


2. 数据data(abunt-metadata.txt):


attachments-2023-11-PhLvmayK654af2978047a.png

代码示例

用到的工具为一个R包,可以读入表格快速,然后将生成好的配置文件,在iTOL网站上拖拽过去即可:


devtools::install_github("TongZhou2017/itol.toolkit")
library(itol.toolkit)
library(data.table)
setwd("/phylo_tree")

tree_1 <- "abunt-tree.nwk"
hub_1 <- create_hub(tree_1)
data_file_1<- "abunt-metadata.txt"
data_1 <- data.table::fread(data_file_1)

# relabel by genus
unit_1 <- create_unit(data = data_1 %>% select(ID, Genus),
                      key = "itol_3al_1_labels",
                      type = "LABELS",
                      tree = tree_1)
write_unit(unit_1,paste0(getwd(),"/itol_3al_1_labels_Genus.txt"))
# tree_colors range by phylum 按照门填充颜色
unit_2 <- create_unit(data = data_1 %>% select(ID, Phylum),
                      key = "itol_3al_2_range",
                      type = "TREE_COLORS",
                      subtype = "range",
                      tree = tree_1)
write_unit(unit_2,paste0(getwd(),"/itol_3al_2_range_Phylum.txt"))
# color_strip by class 分组圆环
set.seed(123)
unit_3 <- create_unit(data = data_1 %>% select(ID, Class),
                      key = "itol_3al_3_strip",
                      type = "DATASET_COLORSTRIP",
                      color = "wesanderson",
                      tree = tree_1)
unit_3@common_themes$basic_theme$margin <- 50
write_unit(unit_3,paste0(getwd(),"/itol_3al_3_strip_Class.txt"))
# simple_bar by NS
unit_4 <- create_unit(data = data_1 %>% select(ID, NS),
                      key = "itol_3al_4_simplebar",
                      type = "DATASET_SIMPLEBAR",
                      tree = tree_1)
unit_4@specific_themes$basic_plot$size_max <- 100
write_unit(unit_4,paste0(getwd(),"/itol_3al_4_simplebar.txt"))
# simple_bar by OS
unit_5 <- create_unit(data = data_1 %>% select(ID, NS,OS),
                      key = "itol_3al_5_multibar",
                      type = "DATASET_MULTIBAR",
                      tree = tree_1)
unit_5@specific_themes$basic_plot$size_max <- 100
write_unit(unit_5,paste0(getwd(),"/itol_3al_5_multibar.txt"))
# simple_bar by OS
unit_6 <- create_unit(data = data_1 %>% select(ID, Dissimilarity),
                      key = "itol_3al_6_gradient",
                      type = "DATASET_GRADIENT",
                      tree = tree_1)
unit_6@specific_themes$heatmap$color$min <- "#0000ff"
unit_6@specific_themes$heatmap$color$max <- "#ff0000"
write_unit(unit_6,paste0(getwd(),"/itol_3al_6_gradient.txt"))
  
unit_7 <- create_unit(data = data_1 %>% select(ID, NS,OS), 
                       key = "itol_7_heatmap",
                       type = "DATASET_HEATMAP", 
                       tree = tree_1)
write_unit(unit_7,paste0(getwd(),"/itol_7_heatmap.txt"))

最后的效果:



attachments-2023-11-6QvcNrZr654af2c229db7.png


  • 发表于 2023-11-08 10:29
  • 阅读 ( 1649 )
  • 分类:R

0 条评论

请先 登录 后评论
omicsgene
omicsgene

生物信息

698 篇文章

作家榜 »

  1. omicsgene 698 文章
  2. 安生水 347 文章
  3. Daitoue 167 文章
  4. 生物女学霸 120 文章
  5. xun 80 文章
  6. 红橙子 78 文章
  7. rzx 74 文章
  8. CORNERSTONE 72 文章