# HG changeset patch
# User devteam
# Date 1406562999 14400
# Node ID f38763b52f33e9d1db6338112f3b3e2bb6cef313

Imported from capsule None

diff -r 000000000000 -r f38763b52f33 lda_analy.xml
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/lda_analy.xml	Mon Jul 28 11:56:39 2014 -0400
@@ -0,0 +1,288 @@
+<tool id="lda_analy1" name="Perform LDA" version="1.0.1">
+	<description>Linear Discriminant Analysis</description>
+    <requirements>
+      <requirement type="package" version="2.11.0">R</requirement>
+    </requirements>
+	<command interpreter="sh">r_wrapper.sh $script_file</command>
+	<inputs>
+		<param format="tabular" name="input" type="data" label="Source file"/>
+		<param name="cond" size="30" type="integer" value="3" label="Number of principal components" help="See TIP below">
+			<validator type="empty_field" message="Enter a valid number of principal components, see syntax below for examples"/>
+		</param>
+
+	</inputs>
+	<outputs>
+		<data format="txt" name="output" />
+	</outputs>
+
+	<tests>
+		<test>
+			<param name="input" value="matrix_generator_for_pc_and_lda_output.tabular"/>
+			<output name="output" file="lda_analy_output.txt"/>
+			<param name="cond" value="2"/>
+
+		</test>
+	</tests>
+
+	<configfiles>
+        	<configfile name="script_file">
+
+        rm(list = objects() )
+
+        ############# FORMAT X DATA #########################
+        format&lt;-function(data) {
+            ind=NULL
+            for(i in 1 : ncol(data)){
+                if (is.na(data[nrow(data),i])) {
+                    ind&lt;-c(ind,i)
+                }
+            }
+            #print(is.null(ind))
+            if (!is.null(ind)) {
+                data&lt;-data[,-c(ind)]
+            }
+
+            data
+        }
+
+        ########GET RESPONSES ###############################
+        get_resp&lt;- function(data) {
+            resp1&lt;-as.vector(data[,ncol(data)])
+                resp=numeric(length(resp1))
+            for (i in 1:length(resp1)) {
+                if (resp1[i]=="Y ") {
+                    resp[i] = 0
+                }
+                if (resp1[i]=="X ") {
+                    resp[i] = 1
+                }
+            }
+                return(resp)
+        }
+
+        ######## CHARS TO NUMBERS ###########################
+        f_to_numbers&lt;- function(F) { 
+            ind&lt;-NULL
+            G&lt;-matrix(0,nrow(F), ncol(F))
+            for (i in 1:nrow(F)) {
+                for (j in 1:ncol(F)) {
+                    G[i,j]&lt;-as.integer(F[i,j])
+                }
+            }
+            return(G)
+        }
+
+        ###################NORMALIZING#########################
+        norm &lt;- function(M, a=NULL, b=NULL) {
+            C&lt;-NULL
+            ind&lt;-NULL
+
+            for (i in 1: ncol(M)) {
+                if (sd(M[,i])!=0) {
+                    M[,i]&lt;-(M[,i]-mean(M[,i]))/sd(M[,i])
+                }
+                #   else {print(mean(M[,i]))}   
+            }
+            return(M)
+        }
+
+        ##### LDA DIRECTIONS #################################
+        lda_dec &lt;- function(data, k){
+            priors=numeric(k)
+            grandmean&lt;-numeric(ncol(data)-1)
+            means=matrix(0,k,ncol(data)-1)
+            B = matrix(0, ncol(data)-1, ncol(data)-1)
+            N=nrow(data)
+            for (i in 1:k){
+                priors[i]=sum(data[,1]==i)/N
+                grp=subset(data,data\$group==i)
+                means[i,]=mean(grp[,2:ncol(data)])
+                #print(means[i,])
+                #print(priors[i])
+                #print(priors[i]*means[i,])
+                grandmean = priors[i]*means[i,] + grandmean           
+            }
+
+            for (i in 1:k) {
+                B= B + priors[i]*((means[i,]-grandmean)%*%t(means[i,]-grandmean))
+            }
+    
+            W = var(data[,2:ncol(data)])
+            svdW = svd(W)
+            inv_sqrtW =solve(svdW\$v %*% diag(sqrt(svdW\$d)) %*% t(svdW\$v))
+            B_star= t(inv_sqrtW)%*%B%*%inv_sqrtW
+            B_star_decomp = svd(B_star)
+            directions  = inv_sqrtW%*%B_star_decomp\$v
+            return( list(directions, B_star_decomp\$d) )                          
+        }
+
+        ################ NAIVE BAYES FOR 1D SIR OR LDA ##############
+        naive_bayes_classifier &lt;- function(resp, tr_data, test_data, k=2, tau) {
+            tr_data=data.frame(resp=resp, dir=tr_data)
+            means=numeric(k)
+            #print(k)
+            cl=numeric(k)
+            predclass=numeric(length(test_data))
+            for (i in 1:k) {
+                grp = subset(tr_data, resp==i)
+                means[i] = mean(grp\$dir)
+            #print(i, means[i])  
+            }
+            cutoff = tau*means[1]+(1-tau)*means[2] 
+            #print(tau)
+            #print(means)
+            #print(cutoff)
+            if (cutoff&gt;means[1]) {
+               cl[1]=1 
+               cl[2]=2
+            }
+            else {
+               cl[1]=2 
+               cl[2]=1
+            }
+
+            for (i in 1:length(test_data)) {
+
+                if (test_data[i] &lt;= cutoff) {
+                    predclass[i] = cl[1]
+            }
+                else {
+                    predclass[i] = cl[2] 
+            }  
+                }
+            #print(means)
+            #print(mean(means))
+            #X11()
+            #plot(test_data,pch=predclass, col=resp) 
+            predclass
+        }
+
+        ################# EXTENDED ERROR RATES #################
+        ext_error_rate &lt;- function(predclass, actualclass,msg=c("you forgot the message"), pr=1) {
+                 er=sum(predclass != actualclass)/length(predclass)
+
+                 matr&lt;-data.frame(predclass=predclass,actualclass=actualclass)
+                 escapes = subset(matr, actualclass==1)
+                 subjects = subset(matr, actualclass==2)      
+                 er_esc=sum(escapes\$predclass != escapes\$actualclass)/length(escapes\$predclass) 
+                 er_subj=sum(subjects\$predclass != subjects\$actualclass)/length(subjects\$predclass)   
+
+                 if (pr==1) {
+        #             print(paste(c(msg, 'overall : ', (1-er)*100, "%."),collapse=" "))
+        #             print(paste(c(msg, 'within escapes : ', (1-er_esc)*100, "%."),collapse=" "))
+        #             print(paste(c(msg, 'within subjects: ', (1-er_subj)*100, "%."),collapse=" ")) 
+            }
+            return(c((1-er)*100, (1-er_esc)*100, (1-er_subj)*100))                                                                                    
+        }
+
+        ## Main Function ##
+
+	files&lt;-matrix("${input}", 1,1, byrow=T)
+
+	d&lt;-"${cond}"   # Number of PC
+
+	tau&lt;-seq(0,1, by=0.005)
+	#tau&lt;-seq(0,1, by=0.1)
+	for_curve=matrix(-10, 3,length(tau))
+
+	##############################################################
+
+	test_data_whole_X &lt;-read.delim(files[1,1], row.names=1)
+
+	#### FORMAT TRAINING DATA ####################################
+	# get only necessary columns 
+
+	test_data_whole_X&lt;-format(test_data_whole_X)
+	oligo_labels&lt;-test_data_whole_X[1:(nrow(test_data_whole_X)-1),ncol(test_data_whole_X)]
+	test_data_whole_X&lt;-test_data_whole_X[,1:(ncol(test_data_whole_X)-1)]
+
+	X_names&lt;-colnames(test_data_whole_X)[1:ncol(test_data_whole_X)]
+	test_data_whole_X&lt;-t(test_data_whole_X)
+	resp&lt;-get_resp(test_data_whole_X) 
+	ldaqda_resp = resp + 1
+	a&lt;-sum(resp)		# Number of Subject
+	b&lt;-length(resp) - a	# Number of Escape   
+	## FREQUENCIES #################################################
+	F&lt;-test_data_whole_X[,1:(ncol(test_data_whole_X)-1)]
+	F&lt;-f_to_numbers(F)
+	FN&lt;-norm(F, a, b)
+	ss&lt;-svd(FN)
+	eigvar&lt;-NULL
+	eig&lt;-ss\$d^2
+
+	for ( i in 1:length(ss\$d)) {
+		eigvar[i]&lt;-sum(eig[1:i])/sum(eig)
+	}
+
+	#print(paste(c("Variance explained : ", eigvar[d]*100, "%"), collapse=""))
+	
+	Z&lt;-F%*%ss\$v
+
+	ldaqda_data &lt;- data.frame(group=ldaqda_resp,Z[,1:d])
+	lda_dir&lt;-lda_dec(ldaqda_data,2)
+	train_lda_pred &lt;-Z[,1:d]%*%lda_dir[[1]]
+
+	############# NAIVE BAYES CROSS-VALIDATION #############
+	### LDA #####
+
+	y&lt;-ldaqda_resp
+	X&lt;-F
+	cv&lt;-matrix(c(rep('NA',nrow(test_data_whole_X))), nrow(test_data_whole_X), length(tau))
+	for (i in 1:nrow(test_data_whole_X)) {
+	#	print(i)
+		resp&lt;-y[-i]
+		p&lt;-matrix(X[-i,], dim(X)[1]-1, dim(X)[2])
+		testdata&lt;-matrix(X[i,],1,dim(X)[2])
+		p1&lt;-norm(p)
+		sss&lt;-svd(p1)
+		pred&lt;-(p%*%sss\$v)[,1:d]
+		test&lt;- (testdata%*%sss\$v)[,1:d]
+		lda  &lt;- lda_dec(data.frame(group=resp,pred),2)
+		pred &lt;- pred[,1:d]%*%lda[[1]][,1]
+		test &lt;- test%*%lda[[1]][,1]
+		test&lt;-matrix(test, 1, length(test))
+		for (t in 1:length(tau)) {
+			cv[i, t] &lt;- naive_bayes_classifier (resp, pred, test,k=2, tau[t]) 
+		}
+ 	}
+
+	for (t in 1:length(tau)) {
+		tr_err&lt;-ext_error_rate(cv[,t], ldaqda_resp , c("CV"), 1)
+		for_curve[1:3,t]&lt;-tr_err
+	}
+
+	dput(for_curve, file="${output}")
+
+
+		</configfile>
+	</configfiles>
+
+	<help>
+
+.. class:: infomark
+
+**TIP:** If you want to perform Principal Component Analysis (PCA) on the give numeric input data (which corresponds to the "Source file First in "Generate A Matrix" tool), please use *Multivariate Analysis/Principal Component Analysis*
+
+-----
+
+.. class:: infomark
+
+**What it does**
+
+This tool consists of the module to perform the Linear Discriminant Analysis as described in Carrel et al., 2006 (PMID: 17009873)
+
+*Carrel L, Park C, Tyekucheva S, Dunn J, Chiaromonte F, et al. (2006) Genomic Environment Predicts Expression Patterns on the Human 	Inactive X Chromosome. PLoS Genet 2(9): e151. doi:10.1371/journal.pgen.0020151*
+
+-----
+
+.. class:: warningmark
+
+**Note**
+
+- Output from "Generate A Matrix" tool is used as input file for this tool 
+- Output of this tool contains LDA classification success rates for different values of the turning parameter tau (from 0 to 1 with 0.005 interval). This output file will be used to establish the ROC plot, and you can obtain more detail information from this plot. 
+
+
+</help>
+
+</tool>
diff -r 000000000000 -r f38763b52f33 r_wrapper.sh
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/r_wrapper.sh	Mon Jul 28 11:56:39 2014 -0400
@@ -0,0 +1,23 @@
+#!/bin/sh
+
+### Run R providing the R script in $1 as standard input and passing 
+### the remaining arguments on the command line
+
+# Function that writes a message to stderr and exits
+fail()
+{
+    echo "$@" >&2
+    exit 1
+}
+
+# Ensure R executable is found
+which R > /dev/null || fail "'R' is required by this tool but was not found on path" 
+
+# Extract first argument
+infile=$1; shift
+
+# Ensure the file exists
+test -f $infile || fail "R input file '$infile' does not exist"
+
+# Invoke R passing file named by first argument to stdin
+R --vanilla --slave $* < $infile
diff -r 000000000000 -r f38763b52f33 test-data/lda_analy_output.txt
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/lda_analy_output.txt	Mon Jul 28 11:56:39 2014 -0400
@@ -0,0 +1,134 @@
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+21.8181818181818, 81.25, 43.6781609195402, 21.8181818181818, 
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+21.8181818181818, 81.25, 43.6781609195402, 21.8181818181818, 
+81.25, 56.3218390804598, 78.1818181818182, 18.75), .Dim = c(3L, 
+201L))
diff -r 000000000000 -r f38763b52f33 test-data/matrix_generator_for_pc_and_lda_output.tabular
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/matrix_generator_for_pc_and_lda_output.tabular	Mon Jul 28 11:56:39 2014 -0400
@@ -0,0 +1,88 @@
+ 	AGTR2 	ARHGEF9 	BRWD3 	CLCN5 	FMR1 	GPC3 	GPR173 	GRIA3 	GSPT2 	HUWE1 	KIAA2022 	KLF8 	MAGEH1 	MTM1 	NUDT10 	NUDT11 	PAGE1 	PAGE4 	PAK3 	PCSK1N 	PGK1 	PHF6 	RRAGB 	SHROOM4 	SOX3 	TMEM29 	TRO 	TSR2 	USP51 	UXT 	ZDHHC15 	ZDHHC9 	X(SUM) 	APOOL 	AR 	BEX4 	BEX5 	CHIC1 	CHM 	CPXCR1 	CSTF2 	CXCR3 	CXorf26 	CYSLTR1 	DACH2 	DIAPH2 	DRP2 	EDA 	ESX1 	FGF16 	FXYD8 	GPR23 	HDX 	HEPH 	IL1RAPL2 	ITM2A 	KIAA1166 	KLHL4 	LAS1L 	MAGEE1 	MAGEE2 	MSN 	MTMR8 	NAP1L2 	NRK 	NSBP1 	NXF3 	P2RY10 	PABPC5 	POF1B 	RNF12 	RPS6KA6 	SLC7A3 	SPIN2A 	SPIN3 	SPIN4 	STARD8 	SYTL4 	TAF9B 	TBX22 	TCEAL2 	TCEAL4 	TMEM28 	UBQLN2 	UPRT 	ZCCHC5 	ZNF711 	ZXDA 	Y(SUM) 	
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+GAACTAGAAATACCATTTGACCCAGC 	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	2	0	0	5	0	0	0	0	0	0	0	0	0	2	2	0	0	0	4	0	2	2	0	0	2	2	2	0	0	0	0	2	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	0	4	0	0	28	EOL
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+AAATTTTTCCAATTCTGTGAAGAAA 	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	2	0	0	5	0	0	0	0	0	0	0	1	0	2	2	0	0	0	1	0	2	4	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	5	1	0	0	0	0	0	0	1	0	0	20	EOL
+TTCACAATAGCAAAGAC 	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	2	0	0	0	0	0	0	2	0	0	6	0	0	0	0	0	0	1	0	0	3	1	0	0	0	1	0	2	1	0	0	0	0	2	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	0	16	EOL
+TAGGAAGAATCAATA 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	7	EOL
+CTGGGTATATACCCAGTAATGG 	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	3	0	0	0	0	0	0	0	0	0	0	1	6	0	0	0	0	0	0	0	0	0	2	1	0	0	0	1	0	0	1	0	0	2	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	10	EOL
+TTGGAAGTTCTGGCCAGGGCAA 	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	2	1	0	0	0	0	0	2	0	0	0	0	0	2	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	0	0	16	EOL
+TGAAGGACCTCTTCAAGGAGAACTACAAACCACTGCTCAA 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	1	1	0	0	0	1	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	1	0	0	9	EOL
+CTCTCACCACTCCTATTCAACATA 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	2	2	0	0	0	0	0	1	0	0	6	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	0	7	EOL
+ACACACACATAT 	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	4	EOL
+CCATGAGCATGGAATGTTCT 	2	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	4	0	0	0	0	0	0	0	1	0	0	1	0	0	0	1	0	1	2	0	0	2	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	4	0	0	16	EOL
+AACCCAAATGTCC 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	1	0	0	3	0	2	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	4	0	0	15	EOL
+TTTACAAGAAAAAAACAAACAACCCCA 	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	EOL
+AGTTCTAGATCC 	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	4	0	0	0	0	0	0	1	0	0	1	1	0	0	0	3	0	1	2	0	0	0	1	1	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	2	0	0	16	EOL
+CTGGAAGCATTCCCTTT 	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	EOL
+GATCCCATTTGTC 	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	1	0	0	0	0	1	0	0	6	0	0	0	0	0	0	0	0	0	1	2	0	0	0	2	0	1	2	0	0	0	1	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	1	0	0	0	0	0	0	2	0	0	17	EOL
+GATATGAACAGACA 	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	5	0	0	2	1	0	0	0	0	0	0	0	10	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	1	0	0	7	EOL
+TGGGTTTGTCATA 	1	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	5	0	0	0	0	0	0	0	1	0	2	0	0	0	0	0	0	1	2	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	9	EOL
+AGTTTCTTTTGC 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	2	0	0	0	0	0	0	0	0	0	3	1	0	0	0	1	0	0	2	0	0	0	1	2	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	2	0	0	16	EOL
+AATTACCCAGTCT 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	EOL
+TCATGTCATCTGCAAACA 	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	1	1	0	0	0	1	0	1	2	0	0	0	1	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	11	EOL
+AAAACTCTCAAT 	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	2	0	0	0	1	0	0	0	0	0	0	1	0	0	6	0	0	0	0	0	0	1	0	0	3	1	0	0	0	4	0	4	4	0	0	0	1	2	0	1	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	3	0	0	0	0	0	0	1	0	0	31	EOL
+CAACTTCAGCAA 	1	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	1	0	0	6	0	0	0	0	0	0	1	0	0	3	2	0	0	0	3	0	2	1	0	0	0	1	3	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	2	0	0	21	EOL
+ATTGGCTGTGGGTTT 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	2	0	0	0	0	0	0	0	1	0	1	0	0	0	0	1	0	1	2	0	0	0	0	2	0	1	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	3	0	0	15	EOL
+AATTAGATCCCA 	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	2	0	0	6	0	0	0	0	0	0	0	0	0	3	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	2	0	0	11	EOL
+GACCTAAAACCA 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	1	0	1	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	9	EOL
+AGAATCTACAAT 	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	3	1	0	0	0	0	0	1	0	0	1	2	0	0	0	1	0	2	2	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	2	0	0	15	EOL
+AAACCAAACACC 	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	1	0	1	0	1	0	0	0	0	2	0	0	7	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	4	EOL
+GGAGTTCCAGACCAGCCT 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	2	1	0	0	0	1	0	0	1	0	0	0	1	2	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	13	EOL
+CCTTGCCCATGCC 	0	0	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	1	0	0	1	0	0	0	1	0	0	1	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	0	0	0	0	0	0	9	EOL
+ATCATACTGAAT 	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	2	2	0	0	0	2	0	2	2	0	0	1	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	6	2	0	0	0	0	0	0	0	0	0	21	EOL
+AGGAAGTCAAATT 	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	2	1	0	0	0	0	0	1	3	0	0	0	0	3	0	0	0	0	3	0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	2	0	0	21	EOL
+AGCAAACCACCA 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	1	0	0	3	0	0	0	0	0	0	0	1	0	3	2	0	0	0	3	0	3	4	0	0	0	1	5	0	0	0	0	1	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	0	1	0	0	29	EOL
+AGCATGATTTATA 	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	3	0	0	0	0	0	0	1	1	0	3	1	0	0	0	2	0	2	2	0	0	1	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	0	0	0	1	0	0	19	EOL
+GAGAGCCAAATCATGAGTG 	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	7	EOL
+AAAGAGCCAAAT 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	3	EOL
+AGCAATTGTGAATGG 	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	3	0	0	0	0	0	0	0	1	0	2	0	0	0	0	0	0	2	2	0	0	0	0	2	0	0	0	0	2	0	0	0	0	4	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	2	0	0	18	EOL
+CACTATTCACAATTGC 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	2	0	0	6	EOL
+TCAGGATACAAAATCAATG 	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	1	0	0	0	0	0	1	0	0	4	0	0	0	0	0	0	1	2	0	3	1	0	0	0	2	0	3	1	0	0	0	1	3	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	0	2	0	0	24	EOL
+CAATGAACTCAAACAAATT 	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	1	1	0	1	1	0	0	0	2	0	2	2	0	0	0	1	1	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	0	0	18	EOL
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+AATTGAACAATGAGAACATGTGGTAT 	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	2	1	0	0	0	0	0	0	0	0	1	1	0	0	0	2	0	0	1	0	0	3	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	12	EOL
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+TCATCTGACAAAGGGCTAATATCCAG 	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	3	EOL
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diff -r 000000000000 -r f38763b52f33 tool_dependencies.xml
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/tool_dependencies.xml	Mon Jul 28 11:56:39 2014 -0400
@@ -0,0 +1,6 @@
+<?xml version="1.0"?>
+<tool_dependency>
+    <package name="R" version="2.11.0">
+        <repository changeset_revision="5824d2b3bc8b" name="package_r_2_11_0" owner="devteam" toolshed="http://toolshed.g2.bx.psu.edu" />
+    </package>
+</tool_dependency>