diff --git a/ONATRY-CIT/app.R b/ONATRY-CIT/app.R
index 666c855..c5fbac4 100644
--- a/ONATRY-CIT/app.R
+++ b/ONATRY-CIT/app.R
@@ -75,7 +75,7 @@ server <- function(input, output) {
         colnames(df)<-c(var.column, val.column)
         return(df)
       }
-      
+
       Query_CU<-t(codonCounts(Query)) %>%
         as.data.frame() %>%
         setNames(names(txtQuery)) %>% 
@@ -85,7 +85,7 @@ server <- function(input, output) {
         group_by(AA) %>% 
         mutate(across(all_of(names(txtQuery)), function(x) x=x/sum(x))) %>% 
         ungroup()
-      
+
       pca_ref<-read.table("../Scripts/pca_HAdV5_EGFP_MONO_EMM_BH_VCN_APIS_MOD_PDT_ADAPT_Tox.txt",sep="\t", dec = ",", header = T)
       pca_ref$codon<-gsub(" ","",pca_ref$codon)
       pca_tab<-merge(pca_ref, 
@@ -125,9 +125,9 @@ server <- function(input, output) {
       ) %>% 
         group_by(AA) %>% 
         mutate(Weight=Usage/max(Usage))
-      
-      Query_codons<-sapply(txtQuery, function(x) substring(x,seq(1,(nchar(x)-2),3), seq(3,nchar(x),3)))
-      
+
+      Query_codons<-lapply(txtQuery, function(x) substring(x,seq(1,(nchar(x)-2),3), seq(3,nchar(x),3)))
+
       Query_CAI<-do.call(rbind, lapply(names(Query_codons), function(x){
         merge(
           data.frame(Position=1:length(Query_codons[[x]]),
@@ -136,7 +136,7 @@ server <- function(input, output) {
           w[,c("Codon","AA","Weight")]
         ) %>% arrange(Position)
       }))
-
+      
       Query_CAI[Query_CAI$AA %in% c("Met","End","Trp"),"Weight"]<-0
       
       #CAI
@@ -157,7 +157,7 @@ server <- function(input, output) {
         ggtitle("CAI along sequence")+
         theme_gray(base_size = 15)
       
-      AApos3<-sapply(txtQuery, function(x) strsplit(x, "")[[1]][seq(3, nchar(x), 3)])
+      AApos3<-lapply(txtQuery, function(x) strsplit(x, "")[[1]][seq(3, nchar(x), 3)])
       GC3<-sapply(AApos3, function(x) 100*length(x[x %in% c("G","C")])/length(x))