Get rid of unnecessary files for generating recalibration data.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1626 348d0f76-0448-11de-a6fe-93d51630548a
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@ -1,16 +0,0 @@
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#!/broad/tools/apps/R-2.6.0/bin/Rscript
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args<- commandArgs(TRUE)
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verbose<- TRUE
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input_fileroot <- args[1]
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output_fileroot <- args[2]
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dinuc <- args[3]
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currentin=paste(input_fileroot,dinuc,"csv",sep=".");
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currentout=paste(output_fileroot,dinuc,"parameters",sep=".");
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con <- file(currentin, "r")
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con_out <- file(currentout, "w+")
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data<-read.table(con,header=TRUE,sep=",")
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reg<-glm(indicator~1+logitQ+I(logitQ^2)+I(logitQ^3)+I(logitQ^4)+pos+I(logitQ*pos)+I((logitQ^2)*pos)+I((logitQ^3)*pos)+I((logitQ^4)*pos)+I(pos^2)+I(logitQ*(pos^2))+I((logitQ^2)*(pos^2))+I((logitQ^3)*(pos^2))+I((logitQ^4)*(pos^2))+I(pos^3)+I(logitQ*(pos^3))+I((logitQ^2)*(pos^3))+I((logitQ^3)*(pos^3))+I((logitQ^4)*(pos^3))+I(pos^4)+I(logitQ*(pos^4))+I((logitQ^2)*(pos^4))+I((logitQ^3)*(pos^4))+I((logitQ^4)*(pos^4)),family=binomial("logit"),data=data, weights=data$count)
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write(coefficients(reg),file=con_out)
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@ -51,11 +51,8 @@
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<file>testdata/exampleFASTA.fasta.fai</file>
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<file>testdata/exampleFASTA.dict</file>
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<!-- Supplemental scripts for graph generation, etc. -->
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<file>python/analyzeRecalQuals.py</file>
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<file>python/analyzeRecalQuals_1KG.py</file>
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<file>testdata/defaultGATKConfig.cfg</file>
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<file>testdata/recalConfig_1KG.cfg</file>
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<file>R/logistic_regression.R</file>
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<file>R/plot_q_emp_stated_hst.R</file>
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<file>R/plot_qual_diff_v_cycle.R</file>
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<file>R/plot_qual_diff_v_dinuc.R</file>
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