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本篇內容介紹了“table2itol怎么安裝設置”的有關知識,在實際案例的操作過程中,不少人都會遇到這樣的困境,接下來就讓小編帶領大家學習一下如何處理這些情況吧!希望大家仔細閱讀,能夠學有所成!
table2itol是在GitHup上公開的R語言包,其作用是專門為iTOL生成所需的注釋文件,只需準備表格形式的數據,包含配色方案的注釋文件就會自動生成,極大提高了準備注釋文件的效率。
對于習慣使用Linux系統的同學,可以這樣安裝:
wget https://github.com/mgoeker/table2itol/archive/master.zip unzip master.zip ## 測試 cd table2itol-master Rscript table2itol.R chmod +x table2itol.R ./table2itol.R
習慣使用Windows系統的同學,可以這樣安裝:
GitHup上直接下載table2itol壓縮包,解壓后放在 F:\software 文件夾下。在R或Rstudio中導入table2itol.R。
setwd("F:/software/table2itol-master") source("table2itol.R")
在R或Rstudio中,安裝方法如下:
### 安裝依賴包 site="https://mirrors.tuna.tsinghua.edu.cn/CRAN" # 依賴包列表:參數解析、數據變換、繪圖和開發包安裝、安裝依賴、ggplot主題 package_list = c("grid","ggplot2","gridExtra","vegan","reshape2","readODS") # 判斷R包加載是否成功來決定是否安裝后再加載 for(p in package_list){ if(!suppressWarnings(suppressMessages(require(p, character.only = TRUE, quietly = TRUE, warn.conflicts = FALSE)))){ install.packages(p, repos=site) suppressWarnings(suppressMessages(library(p, character.only = TRUE, quietly = TRUE, warn.conflicts = FALSE))) } } #### 安裝缺少的R包 source("http://bioconductor.org/biocLite.R") biocLite(c("optparse", "plotrix", "readODS", "readxl", "yaml"))
table2itol的輸入文件格式很多,以最常用的表格為例
table2itol.R的選項有很多,不同選項可生成不同的注釋文件,選項列表如下:
Options: -a, --abort Abort if a requested column cannot be found instead of just skipping the data set [default: FALSE] -b NAME, --background=NAME Column to define the background colours of the tip labels; empty means no background colours [default: ] -c NAME, --conversion=NAME Convert integer columns to factors ('factor') or numbers with decimal points ('double') or just not 0/1 to logical vectors ('keep') [default: none] -C FILE, --colour-file=FILE File in YAML format defining alternative colour vectors for domain output [default: ] -d, --double-to-bars Create bar charts, not gradients, from numbers with decimal points ('double') [default: FALSE] -D DIR, --directory=DIR Place output files in this directory ('.' means working directory, empty means input file directory) [default: .] -e NAME, --emblems=NAME Column to define symbol assignments; ignored if empty [default: ] -f NUMBER, --favour=NUMBER Numeric factor for favouring colours over symbols (higher => more colours relative to symbols) [default: 1] -G FILE, --gradient-file=FILE File in YAML format defining alternative colours for gradient and binary output [default: ] -h, --help Show this help message, then exit [default: FALSE] -i NAME, --identifier=NAME Mandatory identifier column; after modification as defined by --template this column must yield the tip labels of the tree [default: ID] -j NAME, --identifier2=NAME Optional 2nd identifier column, causing output of branchsymbols; together with -i this identifies a node [default: ] -l NAME, --label=NAME Column to define the tip labels displayed in the picture in place of the tip labels found in the tree [default: Label] -m INTEGER, --max-size=INTEGER Exceeding this threshold causes fewer colours and more symbols to be selected (see also --favour); also determines size of branch symbols [default: 20] -n TEXT, --na-strings=TEXT Sentinels for missing input values; several can be provided, separated by the value of --separator [default: (null) NA] -o NUMBER, --opacity=NUMBER Numeric factor for the transparency of the colours (0 => transparent, 1 => fully opaque) [default: 1] -p INTEGER, --precision=INTEGER Number of decimal points used in the gradient legends [default: 1] -r TEXT/NUMBER, --restrict=TEXT/NUMBER How to select from numeric values that yield branch symbols [default: ] -s CHARACTER, --separator=CHARACTER Input column separator for CSV-like files [default: ] -t PATTERN, --template=PATTERN Template for sprintf function to convert ID column when deviating from tip labels [default: %s] -w NUMBER, --width=NUMBER Border with used for domains, colour strips etc. [default: 0.5]
也可在解壓安裝目錄下的 table2itol_help.txt 文件或者直接調用幫助信息查看。大家靈活選擇使用的選項即可。
文件準備完成后就需要生成注釋文件了,有兩種方式生成:一種為linux下命令行運行方式,另一種是在R或Rstudio中運行。
linux下命令行運行:
./table2itol.R --na-strings X --identifier Tip --label Name ann1.tsv ann2.tsv
R或Rstudio中運行:
source("table2itol.R") create_itol_files(infiles = c("ann1.tsv", "ann2.tsv"), identifier = "Tip", label = "Name", na.strings = "X")
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