diff --git a/script/adj/adj_adjust_gtex.sh b/script/adj/adj_adjust_gtex.sh
index 0b58cb4..ffe5ce7 100755
--- a/script/adj/adj_adjust_gtex.sh
+++ b/script/adj/adj_adjust_gtex.sh
@@ -21,9 +21,10 @@ cd $SIGNET_ROOT
 ## adjust expression by the covariates: top  pcs, without PEER factors, Sex, Platform, Protocol
 $SIGNET_SCRIPT_ROOT/adj/gexp_cov_adjust.py --expr ${rest}_expression_normalized_igt2log_GTEx_${tissue}.expression.bed.gz \
 --covf $SIGNET_TMP_ROOT/tmpa/all_covs_withoutigt_${tissue}_no_peer.combined_covariates.txt \
---prefix ${resa}_rmpc > log_lung_withoutigt_no_peer
+--prefix tmp_rmpc > log_lung_withoutigt_no_peer_rmpc
 
 $SIGNET_SCRIPT_ROOT/adj/gexp_cov_adjust.py --expr ${rest}_expression_normalized_igt2log_GTEx_${tissue}.expression.bed.gz \
 --covf $SIGNET_TMP_ROOT/tmpa/all_covs_withoutigtpc_${tissue}_no_peer.combined_covariates.txt \
---prefix ${resa} > log_lung_withoutigt_no_peer
+--prefix tmp > log_lung_withoutigt_no_peer
 
+Rscript protein_coding_gtex.R
diff --git a/script/adj/protein_coding_gtex.R b/script/adj/protein_coding_gtex.R
new file mode 100644
index 0000000..949a6df
--- /dev/null
+++ b/script/adj/protein_coding_gtex.R
@@ -0,0 +1,37 @@
+
+##Filter and order genes 
+library(data.table)
+library(rtracklayer)
+gtf <- rtracklayer::import(Sys.getenv(gtf))
+gtf <- as.data.frame(gtf)
+gtf[, 1] <- substring(gtf[, 1], 4)
+
+data_rmpc <- as.matrix(fread("tmp_rmpc.gexp.data"))
+
+data <- as.matrix(fread("tmp.gexp.data"))
+
+gexp1 <- fread(paste0(Sys.getenv("rest"), "_expression_normalized_igt2log_GTEx_", Sys.getenv("tissue"), ".expression.bed.gz")) # gene by sample
+POS <- gexp1[, c(1:4)]
+names(POS) <-c("chr","start","end","gene")
+
+gtf_cut <- gtf[which(gtf$gene_id %in% as.matrix(POS[, 4])), ]
+idx_pc <- (gtf_cut[ ,12]=="protein_coding")&(gtf_cut[ ,7]=="gene")
+
+POS <- unique(gtf_cut[idx_pc, c(10, 1, 2, 3)])
+names(POS) <- c("gene","chr","start","end")
+##16762 protein coding genes
+
+data <- data[, match(as.matrix(POS[, 1]), as.matrix(gexp1[, 4]))]
+data_rmpc <- data_rmpc[, match(as.matrix(POS[, 1]), as.matrix(gexp1[, 4]))]
+
+# remove genes whose size is greater than 2.3Mb
+distance=POS$end-POS$start
+idx <- which(distance<=2.3e6)
+
+POS <- POS[idx,] #16761 genes left
+data <- data[,idx]
+data_rmpc <- data_rmpc[, idx]
+
+fwrite(POS, paste0(Sys.getenv("resa"), "_gene_pos"),row.names=F,col.names=F,quote=F,sep=" ")
+fwrite(data, paste0(Sys.getenv("resa"), "_gexp.data"),row.names=F,col.names=F,quote=F,sep=" ")
+fwrite(data_rmpc, paste0(Sys.getenv("resa"), "_gexp_rmpc.data"),row.names=F,col.names=F,quote=F,sep=" ")
diff --git a/script/adj_portal_gtex.sh b/script/adj_portal_gtex.sh
index e53b7b4..9461e0a 100755
--- a/script/adj_portal_gtex.sh
+++ b/script/adj_portal_gtex.sh
@@ -9,12 +9,13 @@ usage() {
     exit -1
 }
 
-pheno=$($SIGNET_ROOT/signet -s --pheno | sed -r '/^\s*$/d')
+pheno=$($SIGNET_ROOT/signet -s --pheno | sed -r '/^\s*$/d' | xargs readlink -f)
+gtf=$($SIGNET_ROOT/signet -s --gtf | sed -r '/^\s*$/d' | xargs readlink -f)
 tissue=$($SIGNET_ROOT/signet -s --tissue | sed -r '/^\s*$/d')
-anno=$($SIGNET_ROOT/signet -s --anno | sed -r '/^\s*$/d' | readlink -f )
-resa=$($SIGNET_ROOT/signet -s --resa.gtex | sed -r '/^\s*$/d' | readlink -f )
-resg=$($SIGNET_ROOT/signet -s --resg.gtex | sed -r '/^\s*$/d' | readlink -f)
-rest=$($SIGNET_ROOT/signet -s --rest.gtex | sed -r '/^\s*$/d' | readlink -f)
+anno=$($SIGNET_ROOT/signet -s --anno | sed -r '/^\s*$/d' | xargs readlink -f)
+resa=$($SIGNET_ROOT/signet -s --resa.gtex | sed -r '/^\s*$/d' | xargs readlink -f)
+resg=$($SIGNET_ROOT/signet -s --resg.gtex | sed -r '/^\s*$/d' | xargs readlink -f)
+rest=$($SIGNET_ROOT/signet -s --rest.gtex | sed -r '/^\s*$/d' | xargs readlink -f)
 forcerm=$($SIGNET_ROOT/signet -s --forcerm | sed -r '/^\s*$/d')
 
 ARGS=`getopt -a -o a:r -l h:,pheno:,resa:,help -- "$@"`
@@ -26,6 +27,7 @@ do
 case "$1" in
 	--pheno)
                 pheno=$2
+		pheno=$(readlink -f $pheno)
 		$SIGNET_ROOT/signet -s --pheno $pheno
 		shift;;
         --resa)
@@ -51,7 +53,7 @@ if [[ "$resa" == *"doesn't exist"* ]]; then
 exit -1
 fi
 
-var="pheno tissue anno rest resa"
+var="pheno tissue gtf anno rest resa"
 for i in $var
 do
 export "${i}"