## ----eval = TRUE, echo = TRUE, message = FALSE-------------------------------- library(RiboCrypt) #此包库(ORFik) # RiboCrypt的后端包## ----eval = TRUE, echo = TRUE, message = FALSE-------------------------------- df <- RiboCrypt.template.experiment() cds <- loadRegion(df， "cds") cds #基因注释df #让我们看看实验包含的库## ----eval = TRUE, echo = TRUE，消息= FALSE -------------------------------- df [4:6] df ((df libtype美元= =“笼”),]df = = [(df $条件”变异 "),] ## ---- eval = TRUE,呼应= TRUE,消息= FALSE -------------------------------- multiOmicsPlot_ORFikExp (extendLeaders (extendTrailers (cds[3], 30), 30),注释= cd、df = df (c(1、5、9、13)],frames_type =“列”,custom_motif = "玻纤 ") ## ---- eval = TRUE,呼应= TRUE,消息= FALSE -------------------------------- multiOmicsPlot_ORFikExp (extendLeaders (extendTrailers (cds[3], 30), 30),注释= cd、df = df(这(df libtype美元= =“招标书”)[1],],frames_type = " ") ## ---- eval = TRUE,呼应= TRUE,消息= FALSE -------------------------------- multiOmicsPlot_ORFikExp (extendLeaders (extendTrailers (cds[3], 30), 30),注释= cd、df = df(这(df libtype美元= =“招标书”)[1],],frames_type =“行”,kmers = 6) # # - eval = TRUE,呼应= TRUE,消息= FALSE -------------------------------- multiOmicsPlot_ORFikExp (extendLeaders (extendTrailers (cds[3], 30), 30),注释= cd、df = df(这(df libtype美元= =“招标书”)[1],],frames_type =“堆栈”,kmers = 6)