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  • mcariou/2020_dginn_covid19
  • ciri/ps_sars-cov-2/2021_dginn_covid19
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......@@ -56,6 +56,43 @@ names(dginnT)<-c("File", "Name", "Gene.name", "GeneSize",
"dginn-primate_codemlM7M8.PSS")
@
Add SELENOS
<<selenos>>=
selenos<-read.delim(paste0(workdir,
"data/resSELENOS.tab"))
# liste of colonne
colonnes<-c("File", "Name", "Gene", "GeneSize",
"NbSpecies", "omegaM0Bpp", "omegaM0codeml", "BUSTED",
"BUSTED_p.value", "MEME_NbSites", "MEME_PSS", "BppM1M2",
"BppM1M2_p.value", "BppM1M2_NbSites", "BppM1M2_PSS", "BppM7M8",
"BppM7M8_p.value", "BppM7M8_NbSites", "BppM7M8_PSS","codemlM1M2",
"codemlM1M2_p.value", "codemlM1M2_NbSites", "codemlM1M2_PSS", "codemlM7M8",
"codemlM7M8_p.value", "codemlM7M8_NbSites", "codemlM7M8_PSS")
selenos<-selenos[,colonnes]
@
<<>>=
names(selenos)<-names(dginnT)
selenos[,6]<-as.factor(selenos[,6])
selenos[,9]<-as.factor(selenos[,9])
selenos[,11]<-as.factor(selenos[,11])
selenos[,13]<-as.factor(selenos[,13])
selenos[,17]<-as.factor(selenos[,17])
selenos[,21]<-as.factor(selenos[,21])
selenos[,25]<-as.factor(selenos[,25])
## convertir les pvalues
dginnT<-rbind(dginnT, selenos)
@
\subsection{Bats}
<<>>=
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