## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( out.width = "100%", collapse = TRUE, comment = "#>" ) ## ----setup, echo=FALSE, warning=FALSE----------------------------------------- library(TrIdent) library(knitr) library(patchwork) library(ggplot2) library(kableExtra) ## ----eval=FALSE--------------------------------------------------------------- # if (!require("BiocManager", quietly = TRUE)) { # install.packages("BiocManager") # } # # BiocManager::install("TrIdent") # library(TrIdent) ## ----eval=FALSE--------------------------------------------------------------- # BiocManager::install("jlmaier12/TrIdent") # library(TrIdent) ## ----echo=FALSE--------------------------------------------------------------- data("WholeCommunitySamplePileup") data("VLPFractionSamplePileup") kable(head(VLPFractionSamplePileup), row.names = FALSE) %>% kable_styling(latex_options = "HOLD_position") ## ----echo=FALSE, fig.width=4,fig.height=4------------------------------------- dataframe <- cbind.data.frame(c(1:100), c(seq(1, 100, 1))) colnames(dataframe) <- c("mockpos", "mockcov") plot1 <- ggplot(dataframe, aes(x = mockpos, y = mockcov)) + geom_line(linewidth = 1) + labs(x = NULL, y = NULL, title = "Pattern 1") + theme_classic() + ggplot2::theme( axis.text.x = element_blank(), axis.ticks.x = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank(), plot.title = element_text(size = 10), panel.border = element_rect(colour = "black", fill = NA, linewidth = 2) ) dataframe <- cbind.data.frame(c(1:100), c(seq(100, 1, -1))) colnames(dataframe) <- c("mockpos", "mockcov") plot2 <- ggplot(dataframe, aes(x = mockpos, y = mockcov)) + geom_line(linewidth = 1) + labs(x = NULL, y = NULL, title = "Pattern 2") + theme_classic() + ggplot2::theme( axis.text.x = element_blank(), axis.ticks.x = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank(), plot.title = element_text(size = 10), panel.border = element_rect(colour = "black", fill = NA, linewidth = 2) ) dataframe <- cbind.data.frame(c(1:100), c(rep(0, 20), seq(80, 1, -1))) colnames(dataframe) <- c("mockpos", "mockcov") plot3 <- ggplot(dataframe, aes(x = mockpos, y = mockcov)) + geom_line(linewidth = 1) + labs(x = NULL, y = NULL, title = "Pattern 3") + theme_classic() + ggplot2::theme( axis.text.x = element_blank(), axis.ticks.x = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank(), plot.title = element_text(size = 10), panel.border = element_rect(colour = "black", fill = NA, linewidth = 2) ) dataframe <- cbind.data.frame(c(1:100), c(seq(1, 80, 1), rep(0, 20))) colnames(dataframe) <- c("mockpos", "mockcov") plot4 <- ggplot(dataframe, aes(x = mockpos, y = mockcov)) + geom_line(linewidth = 1) + labs(x = NULL, y = NULL, title = "Pattern 4") + theme_classic() + ggplot2::theme( axis.text.x = element_blank(), axis.ticks.x = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank(), plot.title = element_text(size = 10), panel.border = element_rect(colour = "black", fill = NA, linewidth = 2) ) plot1 + plot2 + plot3 + plot4 ## ----echo=FALSE, fig.width=4,fig.height=2------------------------------------- dataframe <- cbind.data.frame(c(1:100), c(rep(0, 20), rep(100, 60), rep(0, 20))) colnames(dataframe) <- c("mockpos", "mockcov") plot1 <- ggplot(dataframe, aes(x = mockpos, y = mockcov)) + geom_line(linewidth = 1) + labs(x = NULL, y = NULL, title = "Pattern 2") + theme_classic() + ggplot2::theme( axis.text.x = element_blank(), axis.ticks.x = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank(), plot.title = element_text(size = 10), panel.border = element_rect(colour = "black", fill = NA, linewidth = 2) ) dataframe <- cbind.data.frame(c(1:100), c(rep(0, 60), rep(100, 40))) colnames(dataframe) <- c("mockpos", "mockcov") plot2 <- ggplot(dataframe, aes(x = mockpos, y = mockcov)) + geom_line(linewidth = 1) + labs(x = NULL, y = NULL, title = "Pattern 3") + theme_classic() + ggplot2::theme( axis.text.x = element_blank(), axis.ticks.x = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank(), plot.title = element_text(size = 10), panel.border = element_rect(colour = "black", fill = NA, linewidth = 2) ) dataframe <- cbind.data.frame(c(1:100), c(rep(100, 40), rep(0, 60))) colnames(dataframe) <- c("mockpos", "mockcov") plot3 <- ggplot(dataframe, aes(x = mockpos, y = mockcov)) + geom_line(linewidth = 1) + labs(x = NULL, y = NULL, title = "Pattern 1") + theme_classic() + ggplot2::theme( axis.text.x = element_blank(), axis.ticks.x = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank(), plot.title = element_text(size = 10), panel.border = element_rect(colour = "black", fill = NA, linewidth = 2) ) plot3 + plot1 + plot2 ## ----echo=FALSE, fig.width=4,fig.height=4------------------------------------- dataframe <- cbind.data.frame(c(1:100), rep(10, 100)) colnames(dataframe) <- c("mockpos", "mockcov") plot1 <- ggplot(dataframe, aes(x = mockpos, y = mockcov)) + geom_line(linewidth = 1) + ylim(0, 100) + labs(x = NULL, y = NULL, title = "Pattern 1") + theme_classic() + ggplot2::theme( axis.text.x = element_blank(), axis.ticks.x = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank(), plot.title = element_text(size = 10), panel.border = element_rect(colour = "black", fill = NA, linewidth = 2) ) plot1 ## ----------------------------------------------------------------------------- TrIdentOutput <- TrIdentClassifier( VLPpileup = VLPFractionSamplePileup, WCpileup = WholeCommunitySamplePileup ) ## ----eval=FALSE--------------------------------------------------------------- # TrIdentClassifier(VLPpileup, WCpileup, # windowSize = 1000, minBlockSize = 10000, # maxBlockSize = Inf, minContigLength = 30000, minSlope = 0.001, # suggFiltThresh = FALSE, verbose = TRUE, SaveFilesTo # ) ## ----------------------------------------------------------------------------- TrIdentSummaryTable <- TrIdentOutput$SummaryTable ## ----echo=FALSE--------------------------------------------------------------- kable(TrIdentSummaryTable) %>% kable_styling(latex_options = "HOLD_position") ## ----------------------------------------------------------------------------- TrIdentPlots <- plotTrIdentResults( VLPpileup = VLPFractionSamplePileup, WCpileup = WholeCommunitySamplePileup, TrIdentResults = TrIdentOutput ) ## ----eval=FALSE--------------------------------------------------------------- # plotTrIdentResults( # VLPpileup, WCpileup, TrIdentResults, matchScoreFilter, # saveFilesTo # ) ## ----------------------------------------------------------------------------- TrIdentPlots$NODE_62 TrIdentPlots$NODE_368 TrIdentPlots$NODE_352 ## ----------------------------------------------------------------------------- SpecTransduc <- specializedTransductionID( VLPpileup = VLPFractionSamplePileup, TrIdentResults = TrIdentOutput ) ## ----eval=FALSE--------------------------------------------------------------- # specializedTransductionID(VLPpileup, TrIdentResults, # noReadCov = 500, specTransLength = 2000, # logScale = FALSE, verbose = TRUE, matchScoreFilter, # SaveFilesTo, specificContig # ) ## ----------------------------------------------------------------------------- SpecializedTransducSummaryTable <- SpecTransduc$summaryTable ## ----echo=FALSE--------------------------------------------------------------- kable(head(SpecializedTransducSummaryTable), format = "html") %>% kable_styling(latex_options = "HOLD_position") ## ----------------------------------------------------------------------------- SpecTransduc$Plots$NODE_62 SpecTransduc$Plots$NODE_135 ## ----------------------------------------------------------------------------- FinalTrIdentSummaryTable <- merge(TrIdentSummaryTable, SpecializedTransducSummaryTable, by = "contigName", all.x = TRUE ) ## ----echo=FALSE--------------------------------------------------------------- kable(FinalTrIdentSummaryTable) %>% kable_styling(latex_options = "HOLD_position") ## ----------------------------------------------------------------------------- sessionInfo()