From d856ef57ee3292fa330c5daaf788634eaf505726 Mon Sep 17 00:00:00 2001 From: Vasco Elbrecht Date: Wed, 12 Aug 2015 10:09:20 +0200 Subject: [PATCH] Integrated Vsearch --- PrimerMiner/R/.Rapp.history | 1660 +++++++++++++++++++ PrimerMiner/R/Vsearch.R | 14 +- PrimerMiner/R/batch_config.R | 12 +- PrimerMiner/inst/vsearch-1.1.3-linux-x86_64 | Bin 0 -> 984362 bytes PrimerMiner/inst/vsearch-1.1.3-osx-x86_64 | Bin 0 -> 361084 bytes Sample_Data/.Rapp.history | 22 + Sample_Data/package_tutorial.R | 2 +- 7 files changed, 1707 insertions(+), 3 deletions(-) create mode 100644 PrimerMiner/inst/vsearch-1.1.3-linux-x86_64 create mode 100755 PrimerMiner/inst/vsearch-1.1.3-osx-x86_64 create mode 100644 Sample_Data/.Rapp.history diff --git a/PrimerMiner/R/.Rapp.history b/PrimerMiner/R/.Rapp.history index 6a2db87..3c653c3 100644 --- a/PrimerMiner/R/.Rapp.history +++ b/PrimerMiner/R/.Rapp.history @@ -224,3 +224,1663 @@ if (!is.null(no_coi_mito)){# cat(paste("Mitogenomes in which no marker sequences were detected:", paste(no_coi_mito, collapse=", "), "\n\n"), file=logfile, sep="", append=T)}# print(paste("\nMitogenomes in which no marker sequences were detected:", paste(no_coi_mito, collapse=", "), "\n"), file=logfile, sep="", append=T)}# } +# 150504# +# +setwd("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 meta FINNLAND/1 R scripte/1 Package DegPrime/1 package files/PrimerMiner_v0.08/R") +entropy +library("seqinr") +entropy +library("caTools") +entropy +library("caTools") +library("seqinr") +entropy +# 150504# +# +setwd("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 meta FINNLAND/1 R scripte/1 Package DegPrime/1 package files/PrimerMiner_v0.08/R") +# 150504# +# +setwd("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 meta FINNLAND/1 R scripte/1 Package DegPrime/1 package files/PrimerMiner_v0.08/R")# +# +# library("caTools")# +library("seqinr")# +# +entropy <- function(fasta, outputplot="myplot.pdf", threshold=0.1, makeplot=T, window=10){# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +covcol <- c("Green", "Orange", "Red", "Black")# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +if(makeplot){pdf(outputplot, height=6, width=ncol(alignment)*0.1, useDingbats=F)# +plot(-3, ylim=c(0.3,13), xlim=c(0,ncol(alignment)+1), xaxt="n", xlab="")# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p, "entropy"=-sum(log2(p) * p, na.rm=T), "nucleotides"=length(which(p>threshold))))# +# +#plot# +if(makeplot){# +rect(i-0.5, 0, i+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(i, 0.3, names(p)[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(i-0.5, 0.8, i+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +# +#plot nucleotide composition# +padd <- c(0, p)*2# +for (m in 2:5){# +rect(i-0.5, sum(padd[1:m-1])+1.7, i+0.5, sum(padd[1:m])+1.7, col=plotcol[m-1])}# +} # end plot# +# +}# +if(makeplot){# +lines(c(0, i), c(6,6), col="Lightgrey")# +lines(c(0, i), c(8,8), col="Lightgrey")# +lines(c(0, i), c(10,10), col="Lightgrey")# +lines(runmean(meep[,6]*4+4, k=window), col="black")# +# +points(meep[,6]*4+4)# +rect(0, 4, i, 12)# +axis(side=1, at=seq(0, ncol(alignment), 10), lab=seq(0, ncol(alignment), 10))# +axis(side=1, at=seq(5, ncol(alignment), 10), lab=F)# +text(0, 13, paste(fasta, "N:", nrow(alignment)), pos=4)# +dev.off()}# +# +return(meep)# +}# +temp <- entropy(files[1], "new.pdf")# +# get files!# +files <- list.files("../../1 COi contigs/", full.names=T)# +# +filenames <- list.files("../../1 COi contigs/", full.names=F)# +filenames <- gsub(".fasta", ".pdf", filenames)# +filenames <- paste("entro_v9_plots/", filenames, sep="")# +pdf(file="merged.pdf", useDingbats=F, width=20, height=6)# +plot(-2, ylim=c(0,2), xlim=c(0,658), xaxt="n", xlab="")# +# +linecol <- rep("Gray", 15)# +linecol[c(1:3, 12)] <- c("Green", "Red", "Blue", "Yellow")# +# +for (j in c(4:11,13,14,15,12,1:3)){# +temp <- entropy(files[j], filenames[j])# +lines(runmean(temp[,6], k=20), col=c(linecol[j], 0.5)) # +}# +axis(side=1, at=seq(0, 658, 10), lab=seq(0, 658, 10), las=2)# +#axis(side=1, at=seq(5, 658, 10), lab=F)# +# +dev.off()# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +listnames <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=F)# +# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x], filenames[x], makeplot=F)# +}# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +primerplot <- function(start=1, end=20, rw=F, threshold=0.1){# +# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, gsub(".._(.*)_folmer.*", "\\1", listnames[k]), pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, 658, 10), lab=F)# +# +}# +pdf("primerplot_complete.pdf", height=6, width=100)# +# +primerplot(1, 658)# +# +dev.off()# +primerplot(1,11) +# 150504# +# +setwd("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 R scripte/entropy")# +#install.packages("caTools")# +library("caTools")# +library("seqinr")# +# +#fasta <- "01_Plecoptera_folmer.fasta"# +# function!!!# +entropy <- function(fasta, outputplot="myplot.pdf", threshold=0.1, makeplot=T, window=10){# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +covcol <- c("Green", "Orange", "Red", "Black")# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +if(makeplot){pdf(outputplot, height=6, width=ncol(alignment)*0.1, useDingbats=F)# +plot(-3, ylim=c(0.3,13), xlim=c(0,ncol(alignment)+1), xaxt="n", xlab="")# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p, "entropy"=-sum(log2(p) * p, na.rm=T), "nucleotides"=length(which(p>threshold))))# +# +#plot# +if(makeplot){# +rect(i-0.5, 0, i+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(i, 0.3, names(p)[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(i-0.5, 0.8, i+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +# +#plot nucleotide composition# +padd <- c(0, p)*2# +for (m in 2:5){# +rect(i-0.5, sum(padd[1:m-1])+1.7, i+0.5, sum(padd[1:m])+1.7, col=plotcol[m-1])}# +} # end plot# +# +}# +if(makeplot){# +lines(c(0, i), c(6,6), col="Lightgrey")# +lines(c(0, i), c(8,8), col="Lightgrey")# +lines(c(0, i), c(10,10), col="Lightgrey")# +lines(runmean(meep[,6]*4+4, k=window), col="black")# +# +points(meep[,6]*4+4)# +rect(0, 4, i, 12)# +axis(side=1, at=seq(0, ncol(alignment), 10), lab=seq(0, ncol(alignment), 10))# +axis(side=1, at=seq(5, ncol(alignment), 10), lab=F)# +text(0, 13, paste(fasta, "N:", nrow(alignment)), pos=4)# +dev.off()}# +# +return(meep)# +}# +temp <- entropy(files[1], "new.pdf")# +# get files!# +files <- list.files("../../1 COi contigs/", full.names=T)# +# +filenames <- list.files("../../1 COi contigs/", full.names=F)# +filenames <- gsub(".fasta", ".pdf", filenames)# +filenames <- paste("entro_v9_plots/", filenames, sep="")# +pdf(file="merged.pdf", useDingbats=F, width=20, height=6)# +plot(-2, ylim=c(0,2), xlim=c(0,658), xaxt="n", xlab="")# +# +linecol <- rep("Gray", 15)# +linecol[c(1:3, 12)] <- c("Green", "Red", "Blue", "Yellow")# +# +for (j in c(4:11,13,14,15,12,1:3)){# +temp <- entropy(files[j], filenames[j])# +lines(runmean(temp[,6], k=20), col=c(linecol[j], 0.5)) # +}# +axis(side=1, at=seq(0, 658, 10), lab=seq(0, 658, 10), las=2)# +#axis(side=1, at=seq(5, 658, 10), lab=F)# +# +dev.off()# +############ +############# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +listnames <- list.files("../../1 COi contigs/", full.names=F)# +# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x], filenames[x], makeplot=F)# +}# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +primerplot <- function(start=1, end=20, rw=F, threshold=0.1){# +# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, gsub(".._(.*)_folmer.*", "\\1", listnames[k]), pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, 658, 10), lab=F)# +# +}# +pdf("primerplot_complete.pdf", height=6, width=100)# +# +primerplot(1, 658)# +# +dev.off()# +primerplot(1,11) +files <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T) +filenames <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=F) +filenames +# 150504# +# +setwd("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 meta FINNLAND/1 R scripte/1 Package DegPrime/1 package files/PrimerMiner_v0.08/R")# +#library("caTools")# +library("seqinr")# +# +# function!!!# +entropy <- function(fasta, outputplot="myplot.pdf", threshold=0.1, makeplot=T, window=10){# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +covcol <- c("Green", "Orange", "Red", "Black")# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +if(makeplot){pdf(outputplot, height=6, width=ncol(alignment)*0.1, useDingbats=F)# +plot(-3, ylim=c(0.3,13), xlim=c(0,ncol(alignment)+1), xaxt="n", xlab="")# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p, "entropy"=-sum(log2(p) * p, na.rm=T), "nucleotides"=length(which(p>threshold))))# +# +#plot# +if(makeplot){# +rect(i-0.5, 0, i+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(i, 0.3, names(p)[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(i-0.5, 0.8, i+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +# +#plot nucleotide composition# +padd <- c(0, p)*2# +for (m in 2:5){# +rect(i-0.5, sum(padd[1:m-1])+1.7, i+0.5, sum(padd[1:m])+1.7, col=plotcol[m-1])}# +} # end plot# +# +}# +if(makeplot){# +lines(c(0, i), c(6,6), col="Lightgrey")# +lines(c(0, i), c(8,8), col="Lightgrey")# +lines(c(0, i), c(10,10), col="Lightgrey")# +lines(runmean(meep[,6]*4+4, k=window), col="black")# +# +points(meep[,6]*4+4)# +rect(0, 4, i, 12)# +axis(side=1, at=seq(0, ncol(alignment), 10), lab=seq(0, ncol(alignment), 10))# +axis(side=1, at=seq(5, ncol(alignment), 10), lab=F)# +text(0, 13, paste(fasta, "N:", nrow(alignment)), pos=4)# +dev.off()}# +# +return(meep)# +}# +files <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T)# +# +temp <- entropy(files[1], "new.pdf")# +# get files!# +# +filenames <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=F)# +filenames <- gsub(".fasta", ".pdf", filenames)# +filenames <- paste("entro_v9_plots/", filenames, sep="")# +pdf(file="merged.pdf", useDingbats=F, width=20, height=6)# +plot(-2, ylim=c(0,2), xlim=c(0,658), xaxt="n", xlab="")# +# +linecol <- rep("Gray", 15)# +linecol[c(1:3, 12)] <- c("Green", "Red", "Blue", "Yellow")# +# +for (j in c(4:11,13,14,15,12,1:3)){# +temp <- entropy(files[j], filenames[j])# +lines(runmean(temp[,6], k=20), col=c(linecol[j], 0.5)) # +}# +axis(side=1, at=seq(0, 658, 10), lab=seq(0, 658, 10), las=2)# +#axis(side=1, at=seq(5, 658, 10), lab=F)# +# +dev.off()# +############ +############# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +listnames <- list.files("../../1 COi contigs/", full.names=F)# +# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x], filenames[x], makeplot=F)# +}# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +primerplot <- function(start=1, end=20, rw=F, threshold=0.1){# +# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, gsub(".._(.*)_folmer.*", "\\1", listnames[k]), pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, 658, 10), lab=F)# +# +}# +pdf("primerplot_complete.pdf", height=6, width=100)# +# +primerplot(1, 658)# +# +dev.off()# +primerplot(1,11) +# function!!!# +entropy <- function(fasta, outputplot="myplot.pdf", threshold=0.1, makeplot=T, window=10){# +{# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p, "entropy"=-sum(log2(p) * p, na.rm=T), "nucleotides"=length(which(p>threshold))))# +}# +# +return(meep)# +} +# 150504# +# +setwd("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 meta FINNLAND/1 R scripte/1 Package DegPrime/1 package files/PrimerMiner_v0.08/R")# +#library("caTools")# +library("seqinr")# +# +# function!!!# +entropy <- function(fasta, outputplot="myplot.pdf", threshold=0.1, makeplot=T, window=10){# +{# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p, "entropy"=-sum(log2(p) * p, na.rm=T), "nucleotides"=length(which(p>threshold))))# +}# +# +return(meep)# +}# +files <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T)# +# +temp <- entropy(files[1], "new.pdf")# +# get files!# +# +filenames <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=F)# +filenames <- gsub(".fasta", ".pdf", filenames)# +filenames <- paste("entro_v9_plots/", filenames, sep="")# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +listnames <- list.files("../../1 COi contigs/", full.names=F)# +# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x], filenames[x], makeplot=F)# +}# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +primerplot <- function(start=1, end=20, rw=F, threshold=0.1){# +# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, gsub(".._(.*)_folmer.*", "\\1", listnames[k]), pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, 658, 10), lab=F)# +# +}# +pdf("primerplot_complete.pdf", height=6, width=100)# +# +primerplot(1, 658)# +# +dev.off() +# 150504# +# +setwd("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 meta FINNLAND/1 R scripte/1 Package DegPrime/1 package files/PrimerMiner_v0.08/R")# +#library("caTools")# +library("seqinr")# +# +# function!!!# +entropy <- function(fasta, outputplot="myplot.pdf", threshold=0.1, makeplot=T, window=10){# +{# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p, "entropy"=-sum(log2(p) * p, na.rm=T), "nucleotides"=length(which(p>threshold))))# +}# +# +return(meep)# +}# +files <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T)# +# +temp <- entropy(files[1], "new.pdf")# +# get files!# +# +filenames <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=F)# +filenames <- gsub(".fasta", ".pdf", filenames)# +filenames <- paste("entro_v9_plots/", filenames, sep="")# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +listnames <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=F)# +# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x], filenames[x], makeplot=F)# +}# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +primerplot <- function(start=1, end=20, rw=F, threshold=0.1){# +# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, gsub(".._(.*)_folmer.*", "\\1", listnames[k]), pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, 658, 10), lab=F)# +# +}# +pdf("primerplot_complete.pdf", height=6, width=100)# +# +primerplot(1, 658)# +# +dev.off() +s <- 1 +# 150504# +# +setwd("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 meta FINNLAND/1 R scripte/1 Package DegPrime/1 package files/PrimerMiner_v0.08/R")# +#library("caTools")# +library("seqinr")# +# +# function!!!# +entropy <- function(fasta, outputplot="myplot.pdf", threshold=0.1, makeplot=T, window=10){# +{# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p, "entropy"=-sum(log2(p) * p, na.rm=T), "nucleotides"=length(which(p>threshold))))# +}# +# +return(meep)# +}# +files <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T)# +# +temp <- entropy(files[1], "new.pdf")# +# get files!# +# +filenames <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=F)# +filenames <- gsub(".fasta", ".pdf", filenames)# +filenames <- paste("entro_v9_plots/", filenames, sep="")# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +listnames <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=F)# +# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x], filenames[x], makeplot=F)# +}# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +primerplot <- function(start=1, end=20, rw=F, threshold=0.1){# +# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, gsub(".._(.*)_folmer.*", "\\1", listnames[k]), pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +s <- 1# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, 658, 10), lab=F)# +# +}# +pdf("primerplot_complete.pdf", height=6, width=100)# +# +primerplot(1, 658)# +# +dev.off() +primerplot(1, 20) +primerplot(1, 21) +if (start==NULL){start <- 1} +start=NULL +if (start==NULL){start <- 1} +start==NULL +if (is.null(start)){start <- 1} +start +listnames <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=F) +x <- 1 +list[[x]] <- entropy(listnames[x]) +listnames <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T) +list[[x]] <- entropy(listnames[x]) +list +list[1] +nrow(list[[1]]) +entropy <- function(fasta){# +{# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p, "entropy"=-sum(log2(p) * p, na.rm=T), "nucleotides"=length(which(p>threshold))))# +}# +# +return(meep)# +} +listnames +sub(".*/(.*)", "\\1", Order_names) +Order_names=NULL +files +sub(".*/(.*)", "\\1", files) +if (is.null(Order_names)){Order_names <- sub(".*/(.*)", "\\1", files)} +sub(".*/(.*)", "\\1", files) +files <- sub(".*/(.*)", "\\1", files) +sub(".*/(.*)", "\\1", files) +files <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T) +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +listnames <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T)# +x <- 1 +list[[x]] <- entropy(listnames[x]) +x <- 1 +list <- c() +list[[x]] <- entropy(files[x]) +entropy <- function(fasta){# +{# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p))# +}# +# +return(meep)# +} +list[[x]] <- entropy(files[x]) +list +Order_names +#library("seqinr")# +# +entropy <- function(fasta){# +{# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p))# +}# +# +return(meep)# +}# +files <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T)# +primerplot <- function(files=c("List of files"), Order_names=NULL, start=NULL, end=NULL, rw=F, threshold=0.1){# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +# +x <- 1# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x])# +}# +# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +if (is.null(Order_names)){Order_names <- sub(".*/(.*)", "\\1", files)}# +if (is.null(start)){start <- 1}# +if (is.null(end)){end <- nrow(list[[1]])}# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, Order_names, pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +s <- 1# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, 658, 10), lab=F)# +# +} +primerplot(1, 21) +files <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T) +primerplot(1, 21) +primerplot(1, 658) +files <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T) +files +primerplot <- function(files=c("List of files"), Order_names=NULL, start=NULL, end=NULL, rw=F, threshold=0.1){# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +# +x <- 1# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x])# +}# +# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +if (is.null(Order_names)){Order_names <- sub(".*/(.*)", "\\1", files)}# +if (is.null(start)){start <- 1}# +if (is.null(end)){end <- nrow(list[[1]])}# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, Order_names, pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +s <- 1# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, 658, 10), lab=F)# +# +} +primerplot(files) +primerplot(files, end=20) +# 150504# +# +setwd("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 meta FINNLAND/1 R scripte/1 Package DegPrime/1 package files/PrimerMiner_v0.08/R")# +#library("seqinr")# +# +entropy <- function(fasta){# +{# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p))# +}# +# +return(meep)# +}# +files <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T)# +primerplot <- function(files=c("List of files"), Order_names=NULL, start=NULL, end=NULL, rw=F, threshold=0.1){# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +# +x <- 1# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x])# +}# +# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +if (is.null(Order_names)){Order_names <- sub(".*/(.*)", "\\1", files)}# +if (is.null(start)){start <- 1}# +if (is.null(end)){end <- nrow(list[[1]])}# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, Order_names[k], pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +s <- 1# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, 658, 10), lab=F)# +# +}# +pdf("primerplot_complete.pdf", height=6, width=100)# +# +primerplot(1, 658)# +# +dev.off()# +primerplot(files, end=20) +# 150504# +# +setwd("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 meta FINNLAND/1 R scripte/1 Package DegPrime/1 package files/PrimerMiner_v0.08/R")# +#library("seqinr")# +# +entropy <- function(fasta){# +{# +# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +}# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p))# +}# +# +return(meep)# +}# +files <- list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T)# +primerplot <- function(files=c("List of files"), Order_names=NULL, start=NULL, end=NULL, threshold=0.1){# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +# +x <- 1# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x])# +}# +# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +if (is.null(Order_names)){Order_names <- sub(".*/(.*)", "\\1", files)}# +if (is.null(start)){start <- 1}# +if (is.null(end)){end <- nrow(list[[1]])}# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, Order_names[k], pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +s <- 1# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, 658, 10), lab=F)# +# +}# +pdf("primerplot_complete.pdf", height=6, width=100)# +# +primerplot(files)# +# +dev.off()# +primerplot(files, end=20) +primerplot <- function(files=c("List of files"), Order_names=NULL, start=NULL, end=NULL, threshold=0.1){# +# +entropy <- function(fasta){# +{# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +# +}# +# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p))# +# +}# +# +return(meep)# +}# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +# +x <- 1# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x])# +}# +# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +if (is.null(Order_names)){Order_names <- sub(".*/(.*)", "\\1", files)}# +if (is.null(start)){start <- 1}# +if (is.null(end)){end <- nrow(list[[1]])}# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, Order_names[k], pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +s <- 1# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, 658, 10), lab=F)# +# +} +listFiles(~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs) +listFiles("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs") +listfiles("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs") +list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs") +list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T) +t(list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T)) +(list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T))[15:1] +(list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T)) +primerplot(c(list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T))[15:1]) +library("seqinr") +primerplot(c(list.files("~/Documents/UNI_und_VORLESUNGEN/11 phd projects/1 Meta SCHMALNAU/1 COi contigs", full.names=T))[15:1]) +plot_alignments <- function(files=c("List of files"), Order_names=NULL, start=NULL, end=NULL, threshold=0.1){# +# +entropy <- function(fasta){# +{# +upac <- read.csv(text=c("ID,comment,A,T,C,G,farbe# +A,Adenine,1,0,0,0,F# +C,Cytosine,0,0,1,0,F# +G,Guanine,0,0,0,1,F# +T,Thymine,0,1,0,0,F# +R,A or G,0.5,0,0,0.5,T# +Y,C or T,0,0.5,0.5,0,T# +S,G or C,0,0,0.5,0.5,T# +W,A or T,0.5,0.5,0,0,T# +K,G or T,0,0.5,0,0.5,T# +M,A or C,0.5,0,0.5,0,T# +B,C or G or T,0,0.3,0.3,0.3,T# +D,A or G or T,0.3,0.3,0,0.3,T# +H,A or C or T,0.3,0.3,0.3,0,T# +V,A or C or G,0.3,0,0.3,0.3,T# +N,any base,0,0,0,0,T# +-,gap,0,0,0,0,T"), stringsAsFactors=F)# +# +alignment <- read.fasta(fasta, seqonly=T)# +alignment <- strsplit(unlist(alignment), split="")# +alignment <- matrix(unlist(alignment), nrow=length(alignment), ncol=length(alignment[[1]]), byrow=T)# +# +}# +# +meep <- c()# +for (i in 1:ncol(alignment)){# +data <- alignment[,i]# +# +temp <- match(data, upac$ID)# +colu <- upac[temp, 3:6]# +# +hey <- colSums(colu)# +# +# shanon entropy# +p <- hey / sum(hey)# +meep <- rbind(meep, c("ID"=i, p))# +# +}# +# +return(meep)# +}# +# Primers in one plot!!# +covcol <- c("Green", "Orange", "Red", "Black")# +# +x <- 1# +list <- c()# +for (x in 1:15){# +list[[x]] <- entropy(files[x])# +}# +# +plotcol <- c("Red", "Green", "Blue", "Yellow")# +if (is.null(Order_names)){Order_names <- sub(".*/(.*)", "\\1", files)}# +if (is.null(start)){start <- 1}# +if (is.null(end)){end <- nrow(list[[1]])}# +plot(-3, xlim=c(-5,(abs(start-end)+2)), ylim=c(0,20), xaxt="n", xlab="")# +# +for (k in 15:1){# +# +#plot nucleotide composition# +padd <- cbind(0, list[[k]][start:end,2:5])# +# +for (i in 1:nrow(padd)){# +for (m in 2:5){# +rect(i-0.5, sum(padd[i,1:m-1])+3+1*k, i+0.5, sum(padd[i, 1:m])+3+1*k, col=plotcol[m-1])}# +}# +text(-0.5, 3.5+1*k, Order_names[k], pos=2)# +# +}# +# +# below berechnen# +meep <- start:end# +# +for (h in 1:nrow(padd)){# +s <- 1# +temp <- list[[s]][meep[h], 2:5]# +for (s in 2:15){# +temp <- rbind(temp+list[[s]][meep[h], 2:5])# +}# +p <- temp / sum(temp)# +# +#make plot# +# +padd <- cbind(0, p*2)# +for (m in 2:5){# +rect(h-0.5, sum(padd[1:m-1])+1.75, h+0.5, sum(padd[1:m])+1.75, col=plotcol[m-1])}# +# +rect(h-0.5, 0, h+0.5, 0.6, col= plotcol[which.max(p)], border=NA)# +text(h, 0.3, names(as.data.frame(p))[which.max(p)], cex=0.75)# +# +# plot nucleotide cov boxes# +rect(h-0.5, 0.8, h+0.5, 1.4, col= covcol[length(which(p>threshold))], border=NA)# +}# +# +axis(side=1, at=seq(0, abs(start-end), 10), lab=seq(start-1, end, 10), las=2)# +axis(side=1, at=seq(5, end, 10), lab=F)# +# +} +lift.files() +list.files() +prompt(plot_alignments, "plot_alignments.Rd") +Sys.info()[['sysname']] +system +sys +sys <- Sys.info()[['sysname']] +sys <- Sys.info()[['sysname']]# +# +if(sys=="Darvin") +{sys <- "MacOX"} +sys +path <- paste(system.file(package="PrimerMiner"), "/vsearch-1.1.3-osx-x86_64", sep="")# +Sys.chmod(path, mode = "0777", use_umask = TRUE) +path +vsearchpath <- paste(system.file(package="PrimerMiner"), "vsearch-1.1.3-linux-x86_64", sep="") +sys <- Sys.info()[['sysname']]# +# +if(sys=="Darwin"){sys <- "MacOX"}# +if(sys=="Windows"){# + print("WARNING: If you runing this packaga on a Windows PC, clustering will NOT work! Vsearch is used for OTU clustering and is not available for windows. Please run this package on a Mac or Lindus based system. Sorry for the inconvinience :(")# +} +sys +vsearchpath="integrated" +if (vsearchpath=="integrated"){# +if (operating_system=="MacOS"){# +vsearchpath <- paste(system.file(package="PrimerMiner"), "/vsearch-1.1.3-osx-x86_64", sep="")# +Sys.chmod(vsearchpath, mode = "0777", use_umask = TRUE)} else {# +vsearchpath <- paste(system.file(package="PrimerMiner"), "vsearch-1.1.3-linux-x86_64", sep="")# +Sys.chmod(vsearchpath, mode = "0777", use_umask = TRUE)# +}# +} +operating_system=="MacOS" +operating_system= "MacOX" # autodetected, can be "MacOS" or "Linux" +if (vsearchpath=="integrated"){# +if (operating_system=="MacOS"){# +vsearchpath <- paste(system.file(package="PrimerMiner"), "/vsearch-1.1.3-osx-x86_64", sep="")# +Sys.chmod(vsearchpath, mode = "0777", use_umask = TRUE)} else {# +vsearchpath <- paste(system.file(package="PrimerMiner"), "vsearch-1.1.3-linux-x86_64", sep="")# +Sys.chmod(vsearchpath, mode = "0777", use_umask = TRUE)# +}# +} +vsearchpath +if (vsearchpath=="integrated"){# +if (operating_system=="MacOS"){# +vsearchpath <- paste(system.file(package="PrimerMiner"), "/vsearch-1.1.3-osx-x86_64", sep="")# +Sys.chmod(vsearchpath, mode = "0777", use_umask = TRUE)} else {# +vsearchpath <- paste(system.file(package="PrimerMiner"), "/vsearch-1.1.3-linux-x86_64", sep="")# +Sys.chmod(vsearchpath, mode = "0777", use_umask = TRUE)# +}# +} +vsearchpath +operating_system diff --git a/PrimerMiner/R/Vsearch.R b/PrimerMiner/R/Vsearch.R index 3f56bff..49b6ccb 100644 --- a/PrimerMiner/R/Vsearch.R +++ b/PrimerMiner/R/Vsearch.R @@ -1,6 +1,18 @@ # Vsearch -Clustering <- function(file, vsearchpath="Vsearch", id=0.97, cmd="", threshold="Majority", setwd=NULL){ +Clustering <- function(file, vsearchpath="integrated", id=0.97, cmd="", threshold="Majority", setwd=NULL){ + + +if (vsearchpath=="integrated"){ +if (operating_system=="MacOSX"){ +vsearchpath <- paste(system.file(package="PrimerMiner"), "/vsearch-1.1.3-osx-x86_64", sep="") +Sys.chmod(vsearchpath, mode = "0777", use_umask = TRUE)} else { +vsearchpath <- paste(system.file(package="PrimerMiner"), "/vsearch-1.1.3-linux-x86_64", sep="") +Sys.chmod(vsearchpath, mode = "0777", use_umask = TRUE) +} +} + + if(!is.null(setwd)){logfile <- paste(setwd, "/log.txt", sep="")} else {logfile <- "log.txt"} diff --git a/PrimerMiner/R/batch_config.R b/PrimerMiner/R/batch_config.R index c8a644a..af33308 100644 --- a/PrimerMiner/R/batch_config.R +++ b/PrimerMiner/R/batch_config.R @@ -2,6 +2,15 @@ batch_config <- function(file){ cat(file=file, append=F) + +sys <- Sys.info()[['sysname']] + +if(sys=="Darwin"){sys <- "MacOSX"} +if(sys=="Windows"){ + print("WARNING: If you runing this packaga on a Windows PC, clustering will NOT work! Vsearch is used for OTU clustering and is not available for windows. Please run this package on a Mac or Lindus based system. Sorry for the inconvinience :(") +} + + # config text text_conf <- c("# Configuration file for batch download", "", @@ -39,7 +48,8 @@ text_conf <- c("# Configuration file for batch download", "clipping_rigth_bold = 26", "", "# Clustering sequences, see ?Clustering for details", -"vsearchpath = \"Vsearch\"", +paste("operating_system= \"", sys, "\" # autodetected, can be \"MacOSX\" or \"Linux\"", sep=""), +"vsearchpath = \"integrated\" # uses the Vsearch that comes with the R package. 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