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49424.55694 791 700 +793 47517.7305 793 670 +795 43112.58746 795 610 +797 48254.3287 797 680 +799 32600.9922 799 460 +801 29806.25931 801 420 \ No newline at end of file diff --git a/figure01.qmd b/figure01.qmd new file mode 100644 index 0000000..218ab90 --- /dev/null +++ b/figure01.qmd @@ -0,0 +1,116 @@ +--- +title: "figure01" +format: html +--- + +## Emission plot + +```{r} +files<-dir('data/spectra/emission', full.names = TRUE) + +spectra<-read.table(files[1], sep='\t') +spectra$sample <- 1 + +for(i in seq_along(files)[-1]){ + spectra.tmp <-read.table(files[i], sep='\t') + spectra.tmp$sample <- i + spectra <- rbind(spectra, spectra.tmp) +} + +spectra$fluor <- NA + +spectra$fluor[spectra$sample %in% seq(9,17)] <- 594 +spectra$fluor[!(spectra$sample %in% seq(9,17))] <- 488 + +spectra$status <- NA + +status<-c('fluor', 'quench', 'fluor', + 'quench', 'quench', 'unquench', + 'unquench', 'unquench', 'unquench', + 'fluor', 'fluor', 'fluor', + 'quench', 'quench', 'quench', + 'unquench', 'unquench', 'unquench') +k<-1 +for(i in unique(spectra$sample)){ + + + spectra$status[spectra$sample==i]<-status[i] + +} + + +library(dplyr) +spec<- spectra %>% + group_by(fluor, status, V3) %>% + summarise(emission=mean(V4)) + +spec$emission[spec$fluor == 488]<-spec$emission[spec$fluor == 488]/max(spec$emission[spec$fluor == 488 & spec$status == 'fluor']) +spec$emission[spec$fluor == 594]<-spec$emission[spec$fluor == 594]/max(spec$emission[spec$fluor == 594 & spec$status == 'fluor']) + +spec$emission <- spec$emission - mean(spec$emission[1:50]) + + +col2hex <- function(cname) +{ + colMat <- col2rgb(cname) + rgb( + red=colMat[1,]/255, + green=colMat[2,]/255, + blue=colMat[3,]/255 + ) +} + +spec<- spec[-which(spec$status == 'unquench'),] + +quartz(width = 130.1729/20, height = 83.8626/20) +par(yaxs='i', xaxs='i', mar=c(4,4,1,1)) +plot(0,0, type='n', xlim=c(450,750), ylim=c(0,1), ylab='Emission', xlab="Wavelength (nm)", las=1, axes=F) +axis(2, las=1, at=c(0,0.5,1)) + +color <- c('green3', 'green4', 'red', 'red4') +unique_samples <- unique( paste(spec$fluor, spec$status) ) +names(spec)<-c("fluor" , "status" , "wavelength" , "emission") + +peak.max <- numeric() +# Loop through each unique sample and create a polygon plot +for (sample_name in unique_samples) { + # Subset the data for the current sample + sample_data <- spec[paste(spec$fluor, spec$status) == sample_name, ] + + # Create a polygon plot for the current sample + polygon(c(sample_data$wavelength, + sample_data$wavelength[nrow(sample_data)], + sample_data$wavelength[1], + sample_data$wavelength[1]), + + c(sample_data$emission, 0, 0, sample_data$emission[1]), + col = paste0( col2hex( color[match(sample_name, unique_samples)] ), '70' ), + border = color[match(sample_name, unique_samples)], lwd=2, xpd=F ) + + # Add a legend for sample names + legend("topright", legend = unique_samples, fill = color) + + peak.max <- c(peak.max, sample_data$wavelength[which.max(sample_data$emission)] ) +} + +axis(1, at=seq(300,800,by=50)) + +``` + +Save the plot. + +```{r} +quartz.save(file="pdf/figure01_c.pdf", type='pdf') +``` + +Then compute quench ratio: +```{r} +quench.ratio <- spec %>% group_by(fluor, status) %>% summarise(max(emission)) + +AZdye488<-quench.ratio$`max(emission)`[1]/quench.ratio$`max(emission)`[2] + +AZdye594<-quench.ratio$`max(emission)`[3]/quench.ratio$`max(emission)`[4] + +round(AZdye488, 2) +round(AZdye594, 2) +``` diff --git a/pdf/S02b.pdf b/pdf/S02b.pdf index c8bf0fa..69e63c6 100644 Binary files a/pdf/S02b.pdf and b/pdf/S02b.pdf differ diff --git a/pdf/S02b_excitation.pdf b/pdf/S02b_excitation.pdf index ee67262..997b61e 100644 Binary files a/pdf/S02b_excitation.pdf and b/pdf/S02b_excitation.pdf differ diff --git a/pdf/S02c.pdf b/pdf/S02c.pdf index ea9f1c7..a934731 100644 Binary files a/pdf/S02c.pdf and b/pdf/S02c.pdf differ diff --git a/pdf/S02f.pdf b/pdf/S02f.pdf index 0f8ddb6..f018735 100644 Binary files a/pdf/S02f.pdf and b/pdf/S02f.pdf differ diff --git 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