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changeset 3:afa81ef5f1c3 draft

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planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/mageck commit 95daf3f97e89989bae687e64cae8b129b3e2b7af
author iuc
date Thu, 19 Apr 2018 05:35:12 -0400
parents 81bbbddcf285
children 38073c236d71
files test-data/out.count.Rnw test-data/out.count.log.txt test-data/out.countsummary.txt test-data/out.normcounts.txt test-data/output_countsummary.Rnw
diffstat 5 files changed, 0 insertions(+), 3069 deletions(-) [+]
line wrap: on
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--- a/test-data/out.count.Rnw	Wed Apr 04 11:03:59 2018 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,237 +0,0 @@
-% This is a template file for Sweave used in MAGeCK
-% Author: Wei Li, Shirley Liu lab
-% Do not modify lines beginning with "#__".
-\documentclass{article}
-
-\usepackage{amsmath}
-\usepackage{amscd}
-\usepackage[tableposition=top]{caption}
-\usepackage{ifthen}
-\usepackage{fullpage}
-\usepackage[utf8]{inputenc}
-% \usepackage{longtable}
-
-\begin{document}
-\setkeys{Gin}{width=0.9\textwidth}
-
-\title{MAGeCK Count Report}
-\author{Wei Li}
-
-\maketitle
-
-
-\tableofcontents
-
-\section{Summary}
-
-%Function definition
-<<label=funcdef,include=FALSE,echo=FALSE>>=
-genreporttable<-function(filelist,labellist,reads,mappedreads){
-  xtb=data.frame(Label=labellist,Reads=reads,MappedReads=mappedreads,MappedPercentage=mappedreads/reads);
-  colnames(xtb)=c("Label","Reads","Mapped","Percentage");
-  return (xtb);
-}
-genreporttable2<-function(filelist,labellist,sgrnas,zerocounts,gini){
-  xtb=data.frame(Label=labellist,TotalsgRNAs=sgrnas,ZeroCounts=zerocounts,GiniIndex=gini);
-  colnames(xtb)=c("Label","TotalsgRNA","ZeroCounts","GiniIndex");
-  return (xtb);
-}
-genreporttable3<-function(filelist,labellist){
-  xtb=data.frame(File=filelist,Label=labellist);
-  colnames(xtb)=c("File","Label");
-  return (xtb);
-}
-
-
-colors=c( "#E41A1C", "#377EB8", "#4DAF4A", "#984EA3", "#FF7F00",  "#A65628", "#F781BF",
-          "#999999", "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854", "#FFD92F", "#E5C494", "#B3B3B3", 
-          "#8DD3C7", "#FFFFB3", "#BEBADA", "#FB8072", "#80B1D3", "#FDB462", "#B3DE69", "#FCCDE5",
-          "#D9D9D9", "#BC80BD", "#CCEBC5", "#FFED6F");
-
-
-
-genboxplot<-function(filename,...){
-  #slmed=read.table(filename,header=T)
-  slmed=read.table(filename,header=T)
-  slmat=as.matrix(slmed[,c(-1,-2)])
-  slmat_log=log2(slmat+1)
-
-  boxplot(slmat_log,pch='.',las=2,ylab='log2(read counts)',cex.axis=0.8,...)
-}
-
-
-genhistplot<-function(filename,isfile=T,...){
-  if(isfile){
-    slmed=read.table(filename,header=T)
-  }else{
-    slmed=filename;
-  }
-  tabsmat=as.matrix(log2(slmed[,c(-1,-2)]+1))
-  colnames(tabsmat)=colnames(slmed)[c(-1,-2)]
-  samplecol=colors[((1:ncol(tabsmat)) %% length(colors)) ]
-  if(ncol(tabsmat)>=1){
-    histlist=lapply(1:ncol(tabsmat),function(X){ return (hist(tabsmat[,X],plot=F,breaks=40)) })
-    xrange=range(unlist(lapply(histlist,function(X){X$mids})))
-    yrange=range(unlist(lapply(histlist,function(X){X$counts})))
-    hst1=histlist[[1]]
-    plot(hst1$mids,hst1$counts,type='b',pch=20,xlim=c(0,xrange[2]*1.2),ylim=c(0,yrange[2]*1.2),xlab='log2(counts)',ylab='Frequency',main='Distribution of read counts',col = samplecol[1], ... )
-  }
-  if(ncol(tabsmat)>=2){ 
-    for(i in 2:ncol(tabsmat)){
-      hstn=histlist[[i]]
-      lines(hstn$mids,hstn$counts,type='b',pch=20,col=samplecol[i])
-    }
-  }
-  legend('topright',colnames(tabsmat),pch=20,lwd=1,col=samplecol)
-}
-
-
-
-genclustering<-function(filename,...){
-  #slmed=read.table(filename,header=T)
-  slmed=read.table(filename,header=T)
-  slmat=as.matrix(slmed[,c(-1,-2)])
-  slmat_log=log2(slmat+1)
-
-  result=tryCatch({
-    library(gplots);
-    heatmap.2(cor(slmat_log),trace = 'none',density.info = 'none',cexRow = 0.8,cexCol = 0.8,offsetRow = -0.2,offsetCol = -0.2)
-  }, error=function(e){
-    heatmap(cor(slmat_log),scale='none',cexRow = 0.8,cexCol = 0.8,cex.axis=0.8,...)
-  });
-}
-
-ctfit_tx=0;
-
-
-panel.plot<-function(x,y,textnames=names(x),...){
-  par(new=TRUE)
-  m<-cbind(x,y)
-  plot(m,pch=20,xlim = range(x)*1.1,ylim=range(y)*1.1,...)
-  text(x,y,textnames,...)
-}
-
-
-genpcaplot<-function(filename,...){
-  #slmed=read.table(filename,header=T)
-  slmed=read.table(filename,header=T)
-  slmat=as.matrix(slmed[,c(-1,-2)])
-  slmat_log=log2(slmat+1)
-  ctfit_tx<<-prcomp(t(slmat_log),center=TRUE)
-  
-  # par(mfrow=c(2,1));
-  samplecol=colors[((1:ncol(slmat)) %% length(colors)) ]
-  # first 2 PCA
-  #plot(ctfit_tx$x[,1],ctfit_tx$x[,2],xlab='PC1',ylab='PC2',main='First 2 PCs',col=samplecol,xlim=1.1*range(ctfit_tx$x[,1]),ylim=1.1*range(ctfit_tx$x[,2]));
-  #text(ctfit_tx$x[,1],ctfit_tx$x[,2],rownames(ctfit_tx$x),col=samplecol);
-  # par(mfrow=c(1,1));
-  if(length(samplecol)>2){
-    pairs(ctfit_tx$x[,1:3],panel=panel.plot,textnames=rownames(ctfit_tx$x),main='First 3 principle components',col=samplecol)
-  }else{
-    if(length(samplecol)>1){
-      pairs(ctfit_tx$x[,1:2],panel=panel.plot,textnames=rownames(ctfit_tx$x),main='First 2 principle components',col=samplecol)
-   }
-  }
-
-
-}
-
-genpcavar<-function(){
-  # % variance 
-  varpca=ctfit_tx$sdev^2
-  varpca=varpca/sum(varpca)*100;
-  if(length(varpca)>10){
-    varpca=varpca[1:10];
-  }
-  plot(varpca,type='b',lwd=2,pch=20,xlab='PCs',ylab='% Variance explained');
-}
-
-@
-
-%__FILE_SUMMARY__
-
-The statistics of comparisons are listed in Table 1 and Table 2.
-The corresponding fastq files in each row are listed in Table 3.
-
-<<label=tab1,echo=FALSE,results=tex>>=
-library(xtable)
-filelist=c("input_0.gz");
-labellist=c("test1_fastq_gz");
-reads=c(2500);
-mappedreads=c(1453);
-totalsgrnas=c(2550);
-zerocounts=c(1276);
-giniindex=c(0.5266899931488773);
-
-cptable=genreporttable(filelist,labellist,reads,mappedreads);
-print(xtable(cptable, caption = "Summary of comparisons", label = "tab:one",
-    digits = c(0, 0, 0, 0,2),
-    align=c('c',  'c','c',  'c', 'c'),
-    table.placement = "tbp",
-    caption.placement = "top"))
-@
-
-<<label=tab2,echo=FALSE,results=tex>>=
-library(xtable)
-cptable=genreporttable2(filelist,labellist,totalsgrnas,zerocounts,giniindex);
-print(xtable(cptable, caption = "Summary of comparisons", label = "tab:two",
-    digits = c(0, 0,0, 0,2),
-    align=c('c',  'c','c',  'c', 'c'),
-    table.placement = "tbp",
-    caption.placement = "top"))
-@
-
-
-
-
-
-<<label=tab3,echo=FALSE,results=tex>>=
-library(xtable)
-cptable=genreporttable3(filelist,labellist);
-print(xtable(cptable, caption = "Summary of samples", label = "tab:three",
-    digits = c(0,0, 0),
-    align=c('c', 'p{9cm}', 'c'),
-    table.placement = "tbp",
-    caption.placement = "top"))
-@
-
-
-
-
-The meanings of the columns are as follows.
-
-\begin{itemize}
-\item \textbf{Row}: The row number in the table;
-\item \textbf{File}: The filename of fastq file;
-\item \textbf{Label}: Assigned label;
-\item \textbf{Reads}: The total read count in the fastq file;
-\item \textbf{Mapped}: Reads that can be mapped to gRNA library;
-\item \textbf{Percentage}: The percentage of mapped reads;
-\item \textbf{TotalsgRNAs}: The number of sgRNAs in the library; 
-\item \textbf{ZeroCounts}: The number of sgRNA with 0 read counts;
-\item \textbf{GiniIndex}: The Gini Index of the read count distribution. Gini index can be used to measure the evenness of the read counts, and a smaller value means a more even distribution of the read counts.
-\end{itemize}
-
-
-
-\newpage\section{Normalized read count distribution of all samples}
-The following figure shows the distribution of median-normalized read counts in all samples.
-
-
-<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=
-genboxplot("output.count_normalized.txt");
-@
-
-The following figure shows the histogram of median-normalized read counts in all samples.
-
-
-<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=
-genhistplot("output.count_normalized.txt");
-@
-
-%__INDIVIDUAL_PAGE__
-
-
-
-\end{document}
-
--- a/test-data/out.count.log.txt	Wed Apr 04 11:03:59 2018 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,43 +0,0 @@
-INFO  @ Sun, 25 Mar 2018 15:51:06: Parameters: /Users/doylemaria/miniconda3/envs/mulled-v1-5ed9647f14e9d3e99564d31bed2eb19cd32ee8b9da66a89bea59b64a8983b1d6/bin/mageck count -l /private/var/folders/zn/m_qvr9zd7tq0wdtsbq255f8xypj_zg/T/tmp0EKzNL/files/000/dataset_2.dat --fastq input_0.gz --sample-label test1_fastq_gz -n output --pdf-report --keep-tmp --unmapped-to-file 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Welcome to MAGeCK v0.5.7. Command: count 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Loading 2550 predefined sgRNAs. 
-WARNING @ Sun, 25 Mar 2018 15:51:06: There are 0 sgRNAs with duplicated sequences. 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Parsing FASTQ file input_0.gz... 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Determining the trim-5 length of FASTQ file input_0.gz... 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Possible gRNA lengths:20 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Processing 0M reads ... 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Read length:30 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Total tested reads: 2500, mapped: 1453(0.5812) 
-INFO  @ Sun, 25 Mar 2018 15:51:06: --trim-5 test data: (trim_length reads fraction) 
-INFO  @ Sun, 25 Mar 2018 15:51:06: 0	1453	1.0 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Auto determination of trim5 results: 0 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Possible gRNA lengths:20 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Processing 0M reads .. 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Total: 2500. 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Mapped: 1453. 
-DEBUG @ Sun, 25 Mar 2018 15:51:06: Initial (total) size factor: 1.0 
-DEBUG @ Sun, 25 Mar 2018 15:51:06: Median factor: 2.0 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Final size factor: 2.0 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Summary of file input_0.gz: 
-INFO  @ Sun, 25 Mar 2018 15:51:06: label	test1_fastq_gz 
-INFO  @ Sun, 25 Mar 2018 15:51:06: reads	2500 
-INFO  @ Sun, 25 Mar 2018 15:51:06: mappedreads	1453 
-INFO  @ Sun, 25 Mar 2018 15:51:06: totalsgrnas	2550 
-INFO  @ Sun, 25 Mar 2018 15:51:06: zerosgrnas	1276 
-INFO  @ Sun, 25 Mar 2018 15:51:06: giniindex	0.5266899931488773 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Loading Rnw template file: /Users/doylemaria/miniconda3/envs/mulled-v1-5ed9647f14e9d3e99564d31bed2eb19cd32ee8b9da66a89bea59b64a8983b1d6/lib/python3.6/site-packages/mageck/fastq_template.Rnw. 
-DEBUG @ Sun, 25 Mar 2018 15:51:06: Setting up the visualization module... 
-INFO  @ Sun, 25 Mar 2018 15:51:06: Running command: cd ./; Rscript output_countsummary.R 
-INFO  @ Sun, 25 Mar 2018 15:51:11: Command message: 
-INFO  @ Sun, 25 Mar 2018 15:51:11:   Writing to file output_countsummary.tex 
-INFO  @ Sun, 25 Mar 2018 15:51:11:   Processing code chunks with options ... 
-INFO  @ Sun, 25 Mar 2018 15:51:11:    1 : keep.source term verbatim (label = funcdef, output_countsummary.Rnw:28) 
-INFO  @ Sun, 25 Mar 2018 15:51:11:    2 : keep.source term tex (label = tab1, output_countsummary.Rnw:156) 
-INFO  @ Sun, 25 Mar 2018 15:51:11:    3 : keep.source term tex (label = tab2, output_countsummary.Rnw:174) 
-INFO  @ Sun, 25 Mar 2018 15:51:11:    4 : keep.source term tex (label = tab3, output_countsummary.Rnw:188) 
-INFO  @ Sun, 25 Mar 2018 15:51:11:    5 : keep.source term verbatim pdf  (output_countsummary.Rnw:221) 
-INFO  @ Sun, 25 Mar 2018 15:51:11:    6 : keep.source term verbatim pdf  (output_countsummary.Rnw:228) 
-INFO  @ Sun, 25 Mar 2018 15:51:11:    
-INFO  @ Sun, 25 Mar 2018 15:51:11:   You can now run (pdf)latex on ‘output_countsummary.tex’ 
-INFO  @ Sun, 25 Mar 2018 15:51:11:    
-INFO  @ Sun, 25 Mar 2018 15:51:11: End command message. 
--- a/test-data/out.countsummary.txt	Wed Apr 04 11:03:59 2018 -0400
+++ b/test-data/out.countsummary.txt	Thu Apr 19 05:35:12 2018 -0400
@@ -1,2 +1,1 @@
 File	Label	Reads	Mapped	Percentage	TotalsgRNAs	Zerocounts	GiniIndex	NegSelQC	NegSelQCPval	NegSelQCPvalPermutation	NegSelQCPvalPermutationFDR	NegSelQCGene
-input_0.gz	test1_fastq_gz	2500	1453	0.5812	2550	1276	0.5267	0	1	1	1	0.0
--- a/test-data/out.normcounts.txt	Wed Apr 04 11:03:59 2018 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,2551 +0,0 @@
-sgRNA	Gene	test1_fastq_gz
-s_47512	RNF111	2.0
-s_24835	HCFC1R1	2.0
-s_14784	CYP4B1	8.0
-s_51146	SLC18A1	2.0
-s_58960	TRIM5	2.0
-s_48256	RPRD2	2.0
-s_30297	KRTAP5-5	2.0
-s_14555	CYB5B	2.0
-s_39959	PAAF1	2.0
-s_45293	PUF60	2.0
-s_49358	SCN8A	2.0
-s_64995	ZYG11A	2.0
-s_4029	ASTE1	2.0
-s_45554	R3HDML	2.0
-s_34264	MMRN1	2.0
-s_37459	NOL6	2.0
-s_23990	GPX7	2.0
-s_20268	FANCC	2.0
-s_14157	CTLA4	2.0
-s_36773	NEURL4	36.0
-s_18804	ETFB	2.0
-s_782	ACSS1	2.0
-s_18272	ENPP2	2.0
-s_46620	RCN1	2.0
-s_55436	TAS2R3	2.0
-s_57947	TMPRSS2	2.0
-s_6438	C14orf159	2.0
-s_33846	MGST2	2.0
-s_16328	DNAH6	2.0
-s_17875	EIF4G1	2.0
-s_2305	ANAPC11	2.0
-s_2500	ANKRD2	2.0
-s_82	AARSD1	2.0
-s_55329	TAL1	2.0
-s_57926	TMPRSS11E	16.0
-s_38414	NUP98	8.0
-s_50044	SERPINF1	2.0
-s_9257	CASR	2.0
-s_63396	ZNF182	2.0
-s_56478	THBS3	2.0
-s_17191	DYRK1A	2.0
-s_11988	CIR1	2.0
-s_43313	PPARD	2.0
-s_44681	PSMA4	2.0
-s_10387	CD320	2.0
-s_64869	ZPBP	2.0
-s_54385	STK17B	2.0
-s_25423	HIST1H4D	2.0
-s_54172	ST8SIA4	18.0
-s_1161	ADCY10	2.0
-s_29184	KIAA0913	2.0
-s_42977	POLD3	2.0
-s_49449	SCUBE1	2.0
-s_24181	GRM4	2.0
-s_52507	SMARCA5	2.0
-s_28674	KCNJ10	2.0
-s_61074	VAMP2	8.0
-s_3954	ASIC2	2.0
-s_2385	ANK1	2.0
-s_18397	EPDR1	2.0
-s_18377	EPB41L4B	2.0
-s_34580	MRAP2	2.0
-s_48676	RUFY3	20.0
-s_691	ACP1	2.0
-s_30460	LAMP2	2.0
-s_42637	PLRG1	2.0
-s_12695	CNOT6	2.0
-s_33316	MECOM	4.0
-s_35081	MSRB2	2.0
-s_58512	TPD52L2	2.0
-s_19912	FAM22F	2.0
-s_45517	QSOX2	2.0
-s_56705	TINAG	2.0
-s_10946	CDKL5	2.0
-s_57473	TMEM211	4.0
-s_57657	TMEM44	2.0
-s_43200	POT1	2.0
-s_19436	FAM135A	2.0
-s_184	ABCB9	2.0
-s_30171	KRT84	2.0
-s_44758	PSMC3IP	2.0
-s_48313	RPS3	2.0
-s_58142	TNFSF12	12.0
-s_59718	TTLL6	14.0
-s_9725	CCDC43	2.0
-s_5135	BCKDHA	2.0
-s_36539	NDUFC2	2.0
-s_27251	IL27RA	2.0
-s_48939	SAMD10	2.0
-s_27343	IL5RA	2.0
-s_28386	KANK2	2.0
-s_27610	INSRR	2.0
-s_2769	AOC3	4.0
-s_58632	TRA2B	24.0
-s_6674	C16orf86	2.0
-s_22902	GJD4	2.0
-s_48278	RPS15A	2.0
-s_61998	WIPF2	2.0
-s_4937	BAIAP3	4.0
-s_54471	STOML1	4.0
-s_19157	FABP12	2.0
-s_5434	BIN1	4.0
-s_42042	PIP5K1A	2.0
-s_7794	C3orf18	2.0
-s_54846	SVIL	2.0
-s_62273	XPA	2.0
-s_45859	RACGAP1	2.0
-s_53626	SPOCK3	2.0
-s_43295	PPAP2C	14.0
-s_11788	CHRDL1	4.0
-s_50636	SHQ1	2.0
-s_16705	DPF1	2.0
-s_39741	OTOF	2.0
-s_27505	INHBE	2.0
-s_707	ACPL2	2.0
-s_15418	DDX3Y	12.0
-s_56018	TEAD4	2.0
-s_44367	PRR12	2.0
-s_25875	HOXB5	2.0
-s_49360	SCN9A	2.0
-s_16244	DMPK	2.0
-s_3909	ASCC2	2.0
-s_55088	SYT6	2.0
-s_54311	STAU1	2.0
-s_53890	SRP72	2.0
-s_11035	CDX1	2.0
-s_18178	EMR3	4.0
-s_16084	DLD	2.0
-s_47207	RHOBTB1	2.0
-s_40267	PARK2	12.0
-s_43104	POLR3B	2.0
-s_2200	AMDHD2	2.0
-s_12738	CNRIP1	2.0
-s_17842	EIF4A3	2.0
-s_57950	TMPRSS3	2.0
-s_62146	WRN	2.0
-s_11055	CEACAM1	2.0
-s_54580	STX2	2.0
-s_29277	KIAA1407	2.0
-s_33428	MEF2A	2.0
-s_59797	TUBB	2.0
-s_18113	EME1	2.0
-s_29839	KLHL8	2.0
-s_18058	ELP2	2.0
-s_49497	SDCBP2	6.0
-s_16874	DRP2	2.0
-s_13572	CREBL2	2.0
-s_20540	FBXO30	2.0
-s_64380	ZNF646	2.0
-s_50366	SH2B1	2.0
-s_2548	ANKRD33B	2.0
-s_41183	PDXP	2.0
-s_16315	DNAH12	2.0
-s_19996	FAM49B	2.0
-s_30751	LDLRAD3	2.0
-s_36960	NGEF	2.0
-s_39015	OR2A2	2.0
-s_26302	HSPB2	2.0
-s_64297	ZNF611	10.0
-s_730	ACSBG1	2.0
-s_50271	SFXN4	2.0
-s_8592	CA6	4.0
-s_13683	CRMP1	2.0
-s_51103	SLC16A7	2.0
-s_63785	ZNF384	2.0
-s_16339	DNAH9	2.0
-s_55936	TCTEX1D1	2.0
-s_14497	CXorf40A	2.0
-s_1123	ADAT1	2.0
-s_41304	PERP	2.0
-s_18719	ESAM	2.0
-s_35118	MSX2	2.0
-s_30128	KRT6A	2.0
-s_402	ABTB1	2.0
-s_32578	MAP1LC3A	2.0
-s_45063	PTMA	2.0
-s_43551	PPP1R14D	2.0
-s_2538	ANKRD32	2.0
-s_40384	PAX1	2.0
-s_29076	KIAA0101	2.0
-s_40482	PCDH10	2.0
-s_2348	ANGPT2	2.0
-s_59756	TTYH3	2.0
-s_34330	MOB4	2.0
-s_49331	SCN2B	2.0
-s_54905	SYDE1	2.0
-s_39101	OR2T1	2.0
-s_36623	NEDD4L	2.0
-s_40500	PCDH15	4.0
-s_10660	CDC42SE2	2.0
-s_30867	LGALS13	2.0
-s_24322	GSTK1	4.0
-s_59167	TRPC1	2.0
-s_57440	TMEM201	2.0
-s_50539	SHC1	2.0
-s_37087	NIT1	2.0
-s_56345	TGFB2	2.0
-s_55388	TARM1	2.0
-s_1224	ADD2	2.0
-s_5256	BCOR	4.0
-s_51731	SLC35B3	2.0
-s_12987	COL6A6	2.0
-s_56745	TJP3	2.0
-s_19340	FAM120AOS	2.0
-s_53904	SRPR	2.0
-s_1588	AGXT	2.0
-s_46157	RASA3	2.0
-s_19166	FABP3	14.0
-s_22330	GATM	2.0
-s_10731	CDH13	2.0
-s_2329	ANAPC5	2.0
-s_46045	RANGAP1	2.0
-s_54814	SUV39H2	2.0
-s_56169	TEX14	2.0
-s_3433	ARHGEF26	2.0
-s_48032	RP4-811H24.6	2.0
-s_51930	SLC41A3	2.0
-s_63893	ZNF433	2.0
-s_46996	RGCC	2.0
-s_13863	CSF3R	2.0
-s_26337	HSPH1	2.0
-s_12983	COL6A3	2.0
-s_1376	ADSS	2.0
-s_45449	PYHIN1	2.0
-s_49629	SEC22C	2.0
-s_20204	FAM86A	2.0
-s_24920	HDAC9	2.0
-s_14961	DAPK1	2.0
-s_23900	GPR98	4.0
-s_14485	CXorf27	2.0
-s_61808	WDR66	2.0
-s_55855	TCF7	2.0
-s_44652	PSG8	2.0
-s_46608	RCCD1	2.0
-s_61175	VCAM1	2.0
-s_27453	INCA1	2.0
-s_28987	KDM4C	2.0
-s_20613	FBXO7	2.0
-s_7715	C2orf70	6.0
-s_3902	ASB9	2.0
-s_64098	ZNF534	2.0
-s_31108	LIN7B	2.0
-s_3383	ARHGEF1	2.0
-s_7626	C2orf43	2.0
-s_52247	SLC8A1	2.0
-s_54498	STOX1	2.0
-s_12160	CLDN17	2.0
-s_16224	DMD	2.0
-s_41715	PHLDB2	2.0
-s_12197	CLDN7	2.0
-s_51239	SLC22A16	2.0
-s_41286	PEPD	2.0
-s_2367	ANGPTL4	2.0
-s_59289	TSC22D4	2.0
-s_22437	GCFC2	2.0
-s_24343	GSTO2	2.0
-s_32783	MAPKAPK5	2.0
-s_37032	NINJ1	2.0
-s_49065	SASH3	2.0
-s_60466	UGT1A1	2.0
-s_26043	HPSE2	4.0
-s_21199	FLNA	2.0
-s_41054	PDGFRA	2.0
-s_1820	AKNA	2.0
-s_19548	FAM166A	2.0
-s_43967	PRDX5	2.0
-s_51905	SLC39A8	2.0
-s_22723	GGT5	10.0
-s_13242	COX6C	2.0
-s_27668	IP6K1	2.0
-s_64491	ZNF692	2.0
-s_61982	WHSC1L1	4.0
-s_48495	RSAD1	2.0
-s_34351	MOCS3	2.0
-s_12069	CLCA1	6.0
-s_22023	GABRR1	2.0
-s_12812	COASY	4.0
-s_40068	PAIP1	2.0
-s_11513	CGREF1	4.0
-s_32119	LY6K	2.0
-s_60743	UQCR11	2.0
-s_56354	TGFBR1	2.0
-s_3062	APOL2	2.0
-s_20525	FBXO25	2.0
-s_55591	TBC1D7	2.0
-s_14987	DARS2	2.0
-s_63195	ZMAT2	2.0
-s_41936	PIK3C2G	2.0
-s_56092	TEP1	2.0
-s_61284	VIT	2.0
-s_10035	CCND2	2.0
-s_43744	PPP6R3	4.0
-s_48110	RPL10L	2.0
-s_39381	OR5H15	2.0
-s_6827	C17orf90	4.0
-s_8795	CADPS	2.0
-s_55301	TAF9	2.0
-s_25756	HNRNPM	2.0
-s_61177	VCAN	2.0
-s_22932	GLB1	2.0
-s_55751	TCEA2	2.0
-s_39419	OR5T3	2.0
-s_33669	MEX3A	2.0
-s_42714	PLXNC1	2.0
-s_23239	GNAT1	2.0
-s_4546	ATPAF1	2.0
-s_64432	ZNF671	2.0
-s_31346	LOXHD1	2.0
-s_46353	RBFOX2	2.0
-s_8848	CALHM2	2.0
-s_27039	IL12RB1	2.0
-s_62824	ZCCHC9	2.0
-s_7498	C20orf96	2.0
-s_43406	PPIE	2.0
-s_54925	SYN1	2.0
-s_27284	IL31RA	2.0
-s_63774	ZNF37A	2.0
-s_43643	PPP1R8	2.0
-s_63149	ZIC2	2.0
-s_26251	HSP90AB1	2.0
-s_46773	RELL2	2.0
-s_64868	ZP4	2.0
-s_626	ACLY	2.0
-s_40694	PCED1A	2.0
-s_15888	DHTKD1	2.0
-s_53641	SPP1	2.0
-s_21822	FXR1	2.0
-s_53660	SPR	2.0
-s_29906	KLKB1	2.0
-s_1901	ALAS2	2.0
-s_45130	PTPN2	2.0
-s_43535	PPP1R13B	4.0
-s_15855	DHRS12	2.0
-s_13602	CRH	2.0
-s_51848	SLC39A1	2.0
-s_61205	VDR	2.0
-s_18989	EXOC7	2.0
-s_22294	GATA1	4.0
-s_34584	MRAS	2.0
-s_33140	MCFD2	2.0
-s_34546	MPST	2.0
-s_27208	IL21R	2.0
-s_14576	CYB5R4	2.0
-s_43745	PPP6R3	2.0
-s_41675	PHF8	2.0
-s_41243	PEBP4	4.0
-s_42685	PLXNA1	2.0
-s_41585	PHB2	2.0
-s_47989	RP1L1	2.0
-s_42300	PLA2G6	2.0
-s_53387	SPATA6L	2.0
-s_15423	DDX4	2.0
-s_64039	ZNF506	10.0
-s_22276	GAS6	2.0
-s_15373	DDX19B	2.0
-s_4322	ATP2B2	2.0
-s_25787	HOMER1	2.0
-s_10739	CDH16	2.0
-s_51702	SLC34A3	2.0
-s_20623	FBXO9	4.0
-s_13244	COX6C	2.0
-s_35367	MTX2	2.0
-s_5681	BPIFB6	2.0
-s_57337	TMEM176A	2.0
-s_43464	PPM1F	2.0
-s_20530	FBXO28	2.0
-s_55958	TDGF1	2.0
-s_4516	ATP7B	2.0
-s_19128	F8	2.0
-s_40084	PAK1IP1	2.0
-s_29430	KIF20B	2.0
-s_14773	CYP46A1	2.0
-s_19102	F2R	2.0
-s_29306	KIAA1524	4.0
-s_11438	CETN3	2.0
-s_49647	SEC24D	2.0
-s_35891	NAA11	2.0
-s_10770	CDH23	4.0
-s_44838	PSMG2	2.0
-s_22687	GGCT	2.0
-s_14266	CTSW	2.0
-s_38451	NXF3	2.0
-s_60012	TYRP1	2.0
-s_13190	COTL1	2.0
-s_4721	AZI2	2.0
-s_28800	KCNMB3	2.0
-s_23136	GM2A	2.0
-s_31806	LRRC71	2.0
-s_11862	CHRNG	4.0
-s_52893	SNX12	2.0
-s_31960	LSM5	2.0
-s_3273	ARHGAP22	2.0
-s_22140	GALNT2	2.0
-s_36663	NEK1	2.0
-s_45974	RALB	2.0
-s_48582	RTCA	2.0
-s_27173	IL1RL1	2.0
-s_49800	SEMA6D	2.0
-s_18249	ENOPH1	2.0
-s_31609	LRRC10B	2.0
-s_6450	C14orf176	2.0
-s_42314	PLAC1L	2.0
-s_7822	C3orf27	2.0
-s_43695	PPP2R5C	2.0
-s_8939	CAMKV	2.0
-s_58681	TRAF7	2.0
-s_12850	COG6	2.0
-s_20936	FGF3	2.0
-s_10862	CDK17	2.0
-s_60046	UAP1	2.0
-s_42295	PLA2G5	2.0
-s_52045	SLC4A9	2.0
-s_18532	EPS8L3	2.0
-s_15737	DFNB31	2.0
-s_12691	CNOT4	2.0
-s_27651	INTS7	2.0
-s_52454	SLX4	2.0
-s_5507	BMF	2.0
-s_57583	TMEM25	2.0
-s_36267	NCK2	2.0
-s_15361	DDX17	2.0
-s_24303	GSS	2.0
-s_11095	CEBPB	4.0
-s_59318	TSG101	2.0
-s_35897	NAA16	2.0
-s_11714	CHMP3	2.0
-s_7217	C1orf186	2.0
-s_14282	CTU1	2.0
-s_53137	SOX15	2.0
-s_30977	LHX3	2.0
-s_825	ACTL6A	2.0
-s_33214	MCOLN3	2.0
-s_57706	TMEM55B	2.0
-s_41619	PHF12	2.0
-s_13595	CREM	2.0
-s_30523	LARP4	2.0
-s_6229	C11orf68	2.0
-s_17880	EIF4G2	2.0
-s_36676	NEK3	2.0
-s_23667	GPR123	2.0
-s_1296	ADORA1	2.0
-s_18235	ENHO	2.0
-s_20589	FBXO45	2.0
-s_31341	LOX	2.0
-s_20983	FGFR2	2.0
-s_44192	PRLR	2.0
-s_62014	WIPI2	2.0
-s_2585	ANKRD45	2.0
-s_14161	CTLA4	2.0
-s_63079	ZFYVE1	2.0
-s_7088	C1orf106	2.0
-s_10461	CD55	2.0
-s_24803	HBM	2.0
-s_52929	SNX21	2.0
-s_40041	PAFAH2	2.0
-s_17056	DUSP15	2.0
-s_61656	WDR12	2.0
-s_28830	KCNQ3	4.0
-s_44745	PSMB9	2.0
-s_16151	DLGAP5	2.0
-s_17799	EIF2S3	2.0
-s_49444	SCTR	2.0
-s_37203	NLGN3	2.0
-s_63798	ZNF385D	2.0
-s_42282	PLA2G4D	2.0
-s_27383	ILF3	2.0
-s_40974	PDE4DIP	2.0
-s_55037	SYT1	2.0
-s_52560	SMC6	2.0
-s_56910	TM9SF2	2.0
-s_64839	ZNHIT6	4.0
-s_20818	FES	2.0
-s_16789	DPY19L3	2.0
-s_46072	RAP2A	2.0
-s_24369	GTDC1	2.0
-s_5332	BEST3	2.0
-s_15793	DGKG	4.0
-s_13197	COX11	2.0
-s_1613	AHCYL1	2.0
-s_62445	YLPM1	2.0
-s_5441	BIN3	2.0
-s_20572	FBXO41	2.0
-s_26507	IBSP	2.0
-s_17166	DYNC2H1	2.0
-s_37694	NPNT	2.0
-s_62561	ZBP1	2.0
-s_28074	ITGB3BP	2.0
-s_13046	COMMD4	2.0
-s_4936	BAIAP3	2.0
-s_16345	DNAI1	4.0
-s_60141	UBE2D4	2.0
-s_34569	MPZL3	2.0
-s_35839	MYRIP	2.0
-s_42840	PNN	2.0
-s_64147	ZNF558	2.0
-s_21759	FUCA2	2.0
-s_62347	XYLB	2.0
-s_41049	PDGFD	2.0
-s_19760	FAM198B	2.0
-s_4944	BAMBI	2.0
-s_59471	TSSC1	2.0
-s_60224	UBE2T	2.0
-s_62753	ZC3H6	2.0
-s_29129	KIAA0355	2.0
-s_43266	PPA2	2.0
-s_48165	RPL31	2.0
-s_25918	HOXC8	2.0
-s_61309	VMO1	2.0
-s_29649	KLF5	2.0
-s_3093	APP	2.0
-s_59201	TRPM2	4.0
-s_31154	LIPH	2.0
-s_43571	PPP1R17	2.0
-s_58112	TNFRSF25	2.0
-s_22767	GHRL	2.0
-s_59817	TUBB6	2.0
-s_63192	ZMAT1	2.0
-s_7306	C1orf49	2.0
-s_37585	NOX5	2.0
-s_57817	TMEM87B	2.0
-s_3667	ARNTL2	2.0
-s_14264	CTSS	2.0
-s_61283	VIT	2.0
-s_35482	MXD3	4.0
-s_54197	STAC2	2.0
-s_54806	SUSD5	2.0
-s_22238	GAPT	2.0
-s_62113	WNT8A	2.0
-s_54543	STRN4	2.0
-s_33235	MDC1	2.0
-s_63489	ZNF224	2.0
-s_37914	NRG1	2.0
-s_36452	NDUFA3	2.0
-s_12262	CLEC3B	2.0
-s_25	AAAS	2.0
-s_50339	SGPP2	2.0
-s_30706	LDB1	2.0
-s_49357	SCN8A	2.0
-s_33618	METTL21D	2.0
-s_4402	ATP5O	2.0
-s_55017	SYNRG	2.0
-s_51299	SLC23A3	2.0
-s_34572	MR1	4.0
-s_49259	SCGB3A1	2.0
-s_17794	EIF2S1	2.0
-s_47977	RP11-744I24.1	2.0
-s_32701	MAP7	2.0
-s_32432	MAGI3	2.0
-s_36564	NDUFS6	2.0
-s_11527	CHAC1	2.0
-s_56181	TEX22	2.0
-s_714	ACPT	2.0
-s_51144	SLC18A1	2.0
-s_57122	TMEM117	2.0
-s_28872	KCTD1	2.0
-s_63600	ZNF28	2.0
-s_57369	TMEM182	2.0
-s_60388	UCK1	2.0
-s_47188	RHEB	2.0
-s_15237	DCTD	2.0
-s_42694	PLXNA4	2.0
-s_19680	FAM187B	2.0
-s_35378	MUC1	2.0
-s_38682	OGG1	2.0
-s_1085	ADAMTS9	2.0
-s_40910	PDE1A	2.0
-s_27956	ISOC2	2.0
-s_27821	IRAK1	2.0
-s_16210	DMBT1	2.0
-s_63398	ZNF184	2.0
-s_18679	ERMP1	2.0
-s_9161	CASC1	4.0
-s_45196	PTPRF	2.0
-s_23002	GLIS2	2.0
-s_17310	EBP	2.0
-s_54797	SUSD3	2.0
-s_1528	AGPAT4	2.0
-s_7045	C1QTNF6	2.0
-s_22952	GLCE	2.0
-s_7105	C1orf111	2.0
-s_36537	NDUFC1	2.0
-s_15359	DDX11	2.0
-s_32881	MARK3	2.0
-s_27486	INHA	2.0
-s_2399	ANK2	2.0
-s_60825	USP10	2.0
-s_20838	FEZ2	2.0
-s_43974	PREB	2.0
-s_16482	DNAJC5G	2.0
-s_26334	HSPG2	2.0
-s_46175	RASD1	2.0
-s_26764	IFT20	2.0
-s_14739	CYP2J2	2.0
-s_11386	CERS2	2.0
-s_5964	BTN1A1	2.0
-s_16810	DPYSL3	2.0
-s_16136	DLGAP2	2.0
-s_13401	CPPED1	2.0
-s_22359	GBGT1	2.0
-s_49575	SDSL	2.0
-s_62067	WNT16	2.0
-s_61863	WDR83OS	2.0
-s_44742	PSMB8	4.0
-s_31855	LRRFIP2	2.0
-s_528	ACADM	2.0
-s_13073	COPA	2.0
-s_32741	MAPK3	2.0
-s_38779	OPA3	2.0
-s_34827	MRPS17	2.0
-s_16969	DTX1	2.0
-s_56448	THAP4	2.0
-s_906	ACVR2A	2.0
-s_45078	PTP4A2	2.0
-s_23628	GPR101	2.0
-s_58510	TPD52L1	2.0
-s_561	ACAT2	2.0
-s_52492	SMAP2	2.0
-s_24039	GRB2	2.0
-s_46264	RASSF4	2.0
-s_39609	ORMDL3	2.0
-s_47343	RIMS4	2.0
-s_56575	THUMPD1	2.0
-s_3261	ARHGAP18	2.0
-s_8148	C6orf165	2.0
-s_17030	DUSP10	2.0
-s_56155	TEX101	2.0
-s_21191	FLI1	2.0
-s_50732	SIK1	2.0
-s_2914	APCDD1	2.0
-s_30717	LDB3	2.0
-s_4702	AXIN1	4.0
-s_21360	FNIP2	2.0
-s_54350	STEAP4	2.0
-s_57227	TMEM14A	4.0
-s_58177	TNIK	2.0
-s_7465	C20orf26	4.0
-s_17327	ECE2	2.0
-s_51639	SLC30A10	2.0
-s_4352	ATP5A1	2.0
-s_18616	ERCC8	2.0
-s_44043	PRIMA1	2.0
-s_36712	NELL2	2.0
-s_61348	VPS16	2.0
-s_2680	ANO4	2.0
-s_30437	LAMB2	2.0
-s_33742	MFSD12	2.0
-s_58796	TRHR	2.0
-s_52365	SLCO5A1	2.0
-s_41281	PEMT	2.0
-s_23427	GON4L	2.0
-s_13427	CPSF3L	2.0
-s_40193	PAPD7	2.0
-s_21543	FPGT	4.0
-s_16722	DPH2	2.0
-s_40078	PAIP2B	2.0
-s_60284	UBL5	2.0
-s_59936	TXNDC15	2.0
-s_31898	LRRTM4	2.0
-s_44833	PSMG1	4.0
-s_19552	FAM166B	2.0
-s_19478	FAM151A	2.0
-s_30185	KRTAP1-3	2.0
-s_61742	WDR45	2.0
-s_7252	C1orf212	2.0
-s_29507	KIF9	2.0
-s_2786	AP1G1	2.0
-s_21222	FLT1	2.0
-s_38408	NUP93	2.0
-s_60875	USP25	2.0
-s_39905	P2RX5	2.0
-s_54470	STOML1	2.0
-s_19064	EYA4	2.0
-s_41060	PDGFRL	2.0
-s_32049	LUC7L	2.0
-s_11837	CHRNA9	2.0
-s_64166	ZNF563	2.0
-s_11211	CENPK	2.0
-s_63097	ZFYVE21	2.0
-s_24757	HAUS4	2.0
-s_4190	ATG7	2.0
-s_48629	RTN4	2.0
-s_22880	GJB3	2.0
-s_44427	PRR7	2.0
-s_464	AC069154.2	2.0
-s_22093	GALC	2.0
-s_55367	TAPBP	2.0
-s_56672	TIMM22	2.0
-s_22286	GAS7	2.0
-s_45341	PVR	2.0
-s_34498	MPL	2.0
-s_60077	UBA7	6.0
-s_44215	PRMT5	2.0
-s_15576	DEFB125	2.0
-s_44098	PRKAR2B	6.0
-s_38270	NUDT19	2.0
-s_12662	CNNM3	2.0
-s_51149	SLC18A2	2.0
-s_42223	PKP4	2.0
-s_31072	LIMK1	2.0
-s_6339	C12orf53	2.0
-s_26400	HTR3E	2.0
-s_43315	PPARD	2.0
-s_28264	JAM3	2.0
-s_33927	MIER1	2.0
-s_11251	CEP104	2.0
-s_33388	MED24	2.0
-s_53844	SRGAP1	2.0
-s_40003	PACSIN2	2.0
-s_5428	BIK	2.0
-s_28459	KAZN	2.0
-s_12578	CNBP	2.0
-s_20731	FCRL3	2.0
-s_41692	PHKB	6.0
-s_13730	CRTC2	2.0
-s_50741	SIKE1	4.0
-s_10340	CD276	2.0
-s_42441	PLD6	2.0
-s_32600	MAP2K1	4.0
-s_21836	FXYD3	10.0
-s_33227	MCTP2	2.0
-s_23930	GPS1	2.0
-s_58948	TRIM46	2.0
-s_23579	GPER	2.0
-s_19158	FABP12	2.0
-s_26003	HPGD	2.0
-s_12701	CNOT7	2.0
-s_41164	PDS5B	2.0
-s_35675	MYLIP	2.0
-s_54071	SSX5	2.0
-s_59652	TTC9C	2.0
-s_35593	MYH10	2.0
-s_28060	ITGB1BP1	2.0
-s_52258	SLC8A3	4.0
-s_52898	SNX14	2.0
-s_25618	HMGCS1	2.0
-s_5068	BBS9	2.0
-s_4389	ATP5J	2.0
-s_49674	SEC62	2.0
-s_10264	CD1D	2.0
-s_20442	FBXL16	2.0
-s_11296	CEP41	2.0
-s_64923	ZSCAN22	2.0
-s_43954	PRDX3	2.0
-s_41735	PHOX2A	2.0
-s_33740	MFSD11	2.0
-s_2779	AP000892.1	2.0
-s_12703	CNOT7	2.0
-s_23338	GNMT	2.0
-s_14454	CXXC1	2.0
-s_49387	SCO1	2.0
-s_9124	CARD8	2.0
-s_42754	PML	4.0
-s_38814	OPRD1	2.0
-s_40024	PADI4	2.0
-s_29225	KIAA1147	2.0
-s_43402	PPID	2.0
-s_58669	TRAF3IP3	2.0
-s_59528	TTC17	2.0
-s_19114	F2RL3	2.0
-s_3339	ARHGAP35	2.0
-s_1522	AGPAT2	2.0
-s_33006	MBD2	2.0
-s_64149	ZNF558	2.0
-s_9791	CCDC69	2.0
-s_51442	SLC25A4	2.0
-s_59174	TRPC4	2.0
-s_37772	NQO2	2.0
-s_28649	KCNH8	2.0
-s_39896	P2RX3	2.0
-s_44644	PSG4	2.0
-s_51440	SLC25A39	2.0
-s_23954	GPSM3	2.0
-s_58911	TRIM36	2.0
-s_20632	FBXW12	2.0
-s_50149	SETMAR	2.0
-s_42606	PLK4	4.0
-s_55148	TAB1	2.0
-s_64628	ZNF772	2.0
-s_10616	CDC34	2.0
-s_38307	NUDT8	2.0
-s_23831	GPR35	2.0
-s_17055	DUSP15	2.0
-s_6922	C19orf44	2.0
-s_42494	PLEKHF2	2.0
-s_2104	ALPK1	2.0
-s_17640	EGFR	2.0
-s_37797	NR1H3	2.0
-s_23299	GNG3	2.0
-s_9517	CCDC125	2.0
-s_7562	C22orf42	2.0
-s_38149	NTNG1	2.0
-s_64633	ZNF774	2.0
-s_34420	MORN3	2.0
-s_56144	TET2	2.0
-s_18093	EMC6	2.0
-s_63835	ZNF410	2.0
-s_35521	MYBPC1	2.0
-s_64601	ZNF75D	2.0
-s_42105	PITX2	2.0
-s_39091	OR2M4	4.0
-s_1765	AKAP13	2.0
-s_6189	C11orf45	2.0
-s_63701	ZNF330	2.0
-s_28136	ITM2A	2.0
-s_56984	TMCO1	2.0
-s_49007	SAMSN1	2.0
-s_33654	METTL7A	4.0
-s_41626	PHF14	2.0
-s_34072	MLF1	2.0
-s_8880	CALR	2.0
-s_8738	CACNB4	2.0
-s_64012	ZNF496	2.0
-s_59206	TRPM3	2.0
-s_3971	ASIC5	2.0
-s_190	ABCC10	2.0
-s_41999	PIM1	2.0
-s_64465	ZNF684	2.0
-s_18728	ESD	2.0
-s_33786	MGA	2.0
-s_39611	OS9	2.0
-s_3484	ARID1B	2.0
-s_1238	ADH4	2.0
-s_53695	SPRTN	2.0
-s_23676	GPR126	2.0
-s_26052	HRAS	2.0
-s_36545	NDUFS1	2.0
-s_63208	ZMAT5	2.0
-s_2908	APC	2.0
-s_15119	DCAF8	2.0
-s_64395	ZNF655	2.0
-s_54556	STUB1	2.0
-s_10027	CCNC	2.0
-s_20178	FAM83C	2.0
-s_38266	NUDT17	2.0
-s_63517	ZNF233	2.0
-s_5435	BIN1	6.0
-s_13322	CPEB3	6.0
-s_19210	FAHD2A	2.0
-s_28276	JDP2	2.0
-s_38449	NXF1	2.0
-s_44619	PSEN1	2.0
-s_49290	SCMH1	2.0
-s_63232	ZMYM3	2.0
-s_47908	RP11-173D9.3	2.0
-s_51358	SLC25A18	2.0
-s_42513	PLEKHG5	2.0
-s_270	ABHD1	2.0
-s_58611	TPSG1	2.0
-s_45665	RAB33A	2.0
-s_35550	MYCL1	2.0
-s_55953	TCTN3	2.0
-s_39190	OR4D5	2.0
-s_64862	ZP2	2.0
-s_48451	RRM2	2.0
-s_44136	PRKCZ	2.0
-s_12532	CMTM1	2.0
-s_13958	CSPP1	2.0
-s_61437	VSIG1	2.0
-s_2427	ANKH	2.0
-s_48236	RPP25	2.0
-s_25248	HHIP	2.0
-s_49666	SEC61A2	4.0
-s_40916	PDE1C	2.0
-s_51267	SLC22A3	4.0
-s_45250	PTPRU	2.0
-s_54454	STMN2	2.0
-s_50448	SH3BP5	2.0
-s_35505	MYB	2.0
-s_34174	MMD2	2.0
-s_43046	POLR1D	2.0
-s_26919	IGSF1	2.0
-s_59350	TSKU	2.0
-s_52462	SMAD3	2.0
-s_44496	PRSS22	2.0
-s_12310	CLIC1	2.0
-s_60920	USP38	2.0
-s_42557	PLEKHO2	2.0
-s_37636	NPEPL1	2.0
-s_56222	TFAP2A	2.0
-s_46417	RBM22	2.0
-s_20477	FBXL6	2.0
-s_30504	LAPTM4A	2.0
-s_49873	4-Sep	2.0
-s_22231	GAPDH	2.0
-s_24866	HCRT	2.0
-s_26084	HRH4	2.0
-s_266	ABCG8	2.0
-s_31387	LPCAT1	2.0
-s_38114	NTF3	2.0
-s_13990	CST11	2.0
-s_24036	GRB14	2.0
-s_50585	SHISA4	2.0
-s_14163	CTNNA1	2.0
-s_1729	AK2	2.0
-s_62985	ZFHX3	2.0
-s_21318	FNBP1L	2.0
-s_13575	CREBRF	2.0
-s_5344	BET1	2.0
-s_49424	SCRN2	2.0
-s_31170	LIPN	2.0
-s_54781	SURF2	2.0
-s_51325	SLC25A1	2.0
-s_34136	MLNR	2.0
-s_31677	LRRC31	2.0
-s_53307	SPARCL1	2.0
-s_28022	ITGA7	2.0
-s_31356	LOXL3	2.0
-s_118	ABCA12	2.0
-s_12481	CLUL1	2.0
-s_40393	PAX3	2.0
-s_39614	OS9	2.0
-s_22342	GBA2	2.0
-s_1136	ADC	2.0
-s_10401	CD37	2.0
-s_4512	ATP7A	2.0
-s_10615	CDC27	2.0
-s_54497	STOX1	2.0
-s_46754	REG4	2.0
-s_20299	FAP	2.0
-s_63316	ZNF138	2.0
-s_42213	PKP2	2.0
-s_52161	SLC6A4	2.0
-s_60954	USP48	2.0
-s_14721	CYP2C9	2.0
-s_54067	SSX3	2.0
-s_42512	PLEKHG5	2.0
-s_32324	MAD2L1BP	2.0
-s_26149	HSD11B1L	2.0
-s_62941	ZFAND1	2.0
-s_306	ABHD16A	2.0
-s_42173	PKIG	2.0
-s_33499	MEOX1	2.0
-s_2639	ANKS1A	2.0
-s_9221	CASP4	4.0
-s_60951	USP48	2.0
-s_42487	PLEKHB2	2.0
-s_12463	CLTB	2.0
-s_17140	DYDC2	2.0
-s_15238	DCTD	2.0
-s_32766	MAPK8IP3	2.0
-s_6844	C18orf1	2.0
-s_29768	KLHL25	2.0
-s_58192	TNIP3	2.0
-s_26239	HSF4	2.0
-s_14209	CTRL	2.0
-s_7539	C22orf25	2.0
-s_21263	FMNL3	2.0
-s_56798	TLK1	2.0
-s_30163	KRT80	2.0
-s_28530	KCNAB1	2.0
-s_50079	SESN2	2.0
-s_17622	EGFL7	2.0
-s_27107	IL17RE	2.0
-s_61128	VASH2	2.0
-s_7629	C2orf44	2.0
-s_59045	TRIML2	2.0
-s_53186	SP110	2.0
-s_44696	PSMA8	2.0
-s_4081	ATAT1	2.0
-s_59776	TUBA3C	2.0
-s_26981	IKBKB	2.0
-s_11984	CINP	2.0
-s_38231	NUDT1	2.0
-s_34096	MLKL	2.0
-s_39703	OSM	2.0
-s_44761	PSMC4	2.0
-s_29844	KLK1	2.0
-s_46470	RBM43	2.0
-s_21735	FTSJ1	2.0
-s_54159	ST7L	2.0
-s_29161	KIAA0586	2.0
-s_62066	WNT11	2.0
-s_32768	MAPK9	2.0
-s_38834	OPTC	2.0
-s_27041	IL12RB2	2.0
-s_25301	HIGD1C	2.0
-s_48626	RTN4	2.0
-s_2191	AMBRA1	2.0
-s_64637	ZNF775	2.0
-s_24425	GTF2IRD1	4.0
-s_28025	ITGA7	2.0
-s_21739	FTSJ2	2.0
-s_56140	TET1	2.0
-s_18340	EOGT	2.0
-s_48335	RPS6KA1	2.0
-s_8918	CAMK2N1	2.0
-s_9126	CARD8	2.0
-s_34993	MSC	2.0
-s_62519	YY1AP1	2.0
-s_17754	EIF2B2	2.0
-s_3894	ASB7	2.0
-s_1366	ADRBK2	2.0
-s_63368	ZNF169	2.0
-s_33217	MCRS1	2.0
-s_791	ACSS3	2.0
-s_3070	APOL5	2.0
-s_158	ABCB4	2.0
-s_46169	RASAL2	2.0
-s_31573	LRP3	2.0
-s_15806	DGKQ	2.0
-s_3426	ARHGEF2	2.0
-s_22505	GDAP2	2.0
-s_43731	PPP4R4	2.0
-s_62463	YPEL3	2.0
-s_1351	ADRA2A	2.0
-s_58570	TPPP	2.0
-s_27563	INPP5K	2.0
-s_64662	ZNF783	2.0
-s_43701	PPP2R5D	2.0
-s_41032	PDE9A	2.0
-s_40077	PAIP2B	2.0
-s_55106	SYTL2	2.0
-s_36104	NAT1	2.0
-s_5659	BPIFA2	2.0
-s_24738	HAS3	2.0
-s_23688	GPR135	2.0
-s_44125	PRKCI	2.0
-s_42154	PKDCC	2.0
-s_52320	SLC9B2	2.0
-s_56287	TFF1	2.0
-s_26218	HSDL1	2.0
-s_48811	S100A14	2.0
-s_27403	IMMT	2.0
-s_44547	PRSS50	2.0
-s_13554	CREB3L3	2.0
-s_52812	SNRNP35	2.0
-s_9678	CCDC28B	2.0
-s_42982	POLD4	2.0
-s_9038	CAPN3	2.0
-s_24550	GYG1	2.0
-s_7927	C4orf19	2.0
-s_59893	TWF2	2.0
-s_21776	FUS	2.0
-s_38699	OLA1	2.0
-s_15466	DDX54	2.0
-s_57105	TMEM110	2.0
-s_47396	RIPPLY2	2.0
-s_29679	KLHDC3	2.0
-s_19864	FAM214B	2.0
-s_22859	GIT2	2.0
-s_63818	ZNF397	2.0
-s_62767	ZC3HAV1	2.0
-s_30390	LAD1	2.0
-s_54683	SULT1C3	2.0
-s_29008	KDM5D	2.0
-s_24721	HARS	2.0
-s_19875	FAM217A	2.0
-s_33598	METTL18	2.0
-s_43299	PPAPDC1B	2.0
-s_23606	GPM6A	2.0
-s_8917	CAMK2G	2.0
-s_7803	C3orf22	2.0
-s_52734	SNAP91	4.0
-s_46558	RBPJL	2.0
-s_44462	PRRT2	2.0
-s_30938	LHB	2.0
-s_33858	MIA2	2.0
-s_1394	AEN	2.0
-s_39870	OXSR1	2.0
-s_4906	BAG6	2.0
-s_16155	DLK2	2.0
-s_35274	MTMR4	2.0
-s_10518	CD81	2.0
-s_39057	OR2F2	2.0
-s_43913	PRDM16	2.0
-s_34638	MRPL1	2.0
-s_612	ACER3	2.0
-s_32740	MAPK3	2.0
-s_16130	DLGAP1	2.0
-s_15564	DEFB119	2.0
-s_41047	PDGFC	2.0
-s_30824	LEPRE1	2.0
-s_19702	FAM189B	2.0
-s_16740	DPM3	2.0
-s_13557	CREB3L4	2.0
-s_10008	CCNA1	2.0
-s_58486	TP73	2.0
-s_18717	ESAM	2.0
-s_63612	ZNF280D	2.0
-s_14187	CTNND2	2.0
-s_59449	TSPO2	2.0
-s_42709	PLXNB3	2.0
-s_39221	OR4M2	2.0
-s_49750	SEMA3F	2.0
-s_8476	C9orf3	2.0
-s_45561	RAB11A	2.0
-s_5542	BMP5	2.0
-s_1064	ADAMTS4	2.0
-s_5354	BET3L	2.0
-s_17631	EGFLAM	2.0
-s_36593	NEBL	2.0
-s_6085	C10orf2	2.0
-s_13428	CPSF3L	2.0
-s_25023	HECW1	2.0
-s_3641	ARMC9	2.0
-s_56315	TFPT	2.0
-s_3278	ARHGAP22	2.0
-s_49946	SERPINA1	2.0
-s_20760	FDFT1	2.0
-s_26065	HRCT1	2.0
-s_50473	SH3GL1	2.0
-s_22971	GLI1	2.0
-s_24638	H6PD	2.0
-s_40488	PCDH11X	2.0
-s_61210	VEGFB	2.0
-s_28841	KCNQ5	2.0
-s_43717	PPP3R1	2.0
-s_25342	HIRA	2.0
-s_57951	TMPRSS4	2.0
-s_34011	MITF	2.0
-s_54412	STK32B	2.0
-s_16037	DISC1	2.0
-s_51701	SLC34A3	2.0
-s_54291	STAT4	2.0
-s_24419	GTF2I	2.0
-s_45973	RALB	2.0
-s_28705	KCNJ6	2.0
-s_5581	BNIP1	2.0
-s_19856	FAM213A	2.0
-s_18308	ENTPD1	2.0
-s_59198	TRPM1	2.0
-s_21871	FZD10	2.0
-s_1850	AKR1C4	2.0
-s_6867	C18orf54	2.0
-s_35715	MYO18B	2.0
-s_22242	GAPVD1	2.0
-s_32713	MAP7D3	2.0
-s_49953	SERPINA12	2.0
-s_55916	TCP11	2.0
-s_56174	TEX19	2.0
-s_22072	GAL	2.0
-s_41033	PDE9A	2.0
-s_26471	HYAL3	2.0
-s_60244	UBE2Z	2.0
-s_12589	CNEP1R1	2.0
-s_29896	KLK8	2.0
-s_29769	KLHL26	2.0
-s_39346	OR5AP2	2.0
-s_15213	DCPS	2.0
-s_48577	RTBDN	2.0
-s_32146	LYAR	2.0
-s_26382	HTR3C	2.0
-s_33001	MBD1	2.0
-s_41972	PIK3R2	2.0
-s_33212	MCOLN3	2.0
-s_35423	MUL1	2.0
-s_7838	C3orf35	2.0
-s_51092	SLC16A4	2.0
-s_20336	FASTK	2.0
-s_33469	MEI1	2.0
-s_5549	BMP7	2.0
-s_2490	ANKRD16	2.0
-s_38674	OGFRL1	2.0
-s_26322	HSPBAP1	2.0
-s_31244	LMNA	2.0
-s_34063	MLC1	2.0
-s_15550	DEFB113	2.0
-s_52892	SNX12	2.0
-s_25799	HOOK2	2.0
-s_55486	TAX1BP1	2.0
-s_4351	ATP5A1	2.0
-s_49917	SERHL2	2.0
-s_46614	RCHY1	2.0
-s_62680	ZBTB7B	2.0
-s_49488	SDCBP	2.0
-s_21866	FYTTD1	2.0
-s_23092	GLTPD1	2.0
-s_10675	CDC73	2.0
-s_12764	CNTN2	2.0
-s_9223	CASP5	2.0
-s_38310	NUDT8	2.0
-s_7059	C1QTNF9B	2.0
-s_33162	MCM3AP	2.0
-s_8498	C9orf50	2.0
-s_16876	DSC1	2.0
-s_14370	CWH43	2.0
-s_22565	GDPD1	2.0
-s_4304	ATP1B4	2.0
-s_3600	ARMC10	2.0
-s_18120	EMID1	2.0
-s_21865	FYN	2.0
-s_60042	U2SURP	2.0
-s_13930	CSNK1G3	2.0
-s_6618	C16orf53	2.0
-s_26173	HSD17B12	2.0
-s_46035	RANBP3L	2.0
-s_13167	CORO2A	2.0
-s_10481	CD6	2.0
-s_4563	ATPIF1	2.0
-s_50071	SERTAD4	2.0
-s_39089	OR2M3	2.0
-s_58390	TOR1AIP2	2.0
-s_45132	PTPN2	2.0
-s_34536	MPPED2	2.0
-s_24336	GSTM5	2.0
-s_38670	OGFR	2.0
-s_4606	ATXN3	2.0
-s_5049	BBS12	2.0
-s_28134	ITM2A	2.0
-s_23612	GPN1	2.0
-s_16085	DLEC1	2.0
-s_2525	ANKRD28	2.0
-s_1792	AKAP7	2.0
-s_27701	IPO11	2.0
-s_25633	HMGN5	2.0
-s_33287	MDM4	2.0
-s_17847	EIF4E	2.0
-s_58327	TOMM34	2.0
-s_54101	ST3GAL3	2.0
-s_41507	PGLYRP3	2.0
-s_38705	OLAH	2.0
-s_7336	C1orf61	2.0
-s_34439	MOSPD3	2.0
-s_33343	MED12	2.0
-s_30145	KRT75	2.0
-s_7793	C3orf18	2.0
-s_13874	CSH2	2.0
-s_14274	CTTN	2.0
-s_38166	NTRK2	2.0
-s_2916	APCDD1L	2.0
-s_41582	PHB	2.0
-s_16033	DISC1	2.0
-s_54156	ST7L	2.0
-s_21942	GABARAPL1	2.0
-s_19312	FAM115C	2.0
-s_5431	BIN1	2.0
-s_44378	PRR15	2.0
-s_22113	GALNT1	2.0
-s_11744	CHN1	2.0
-s_13702	CROT	2.0
-s_14052	CT62	2.0
-s_28143	ITM2C	2.0
-s_43456	PPM1B	2.0
-s_1396	AES	2.0
-s_21931	GAB2	2.0
-s_39536	OR8J3	2.0
-s_62622	ZBTB37	2.0
-s_10417	CD3G	2.0
-s_23789	GPR176	2.0
-s_37011	NICN1	2.0
-s_55412	TAS1R2	2.0
-s_36626	NEDD4L	2.0
-s_62812	ZCCHC4	2.0
-s_18097	EMC7	2.0
-s_36145	NAV2	2.0
-s_18994	EXOG	2.0
-s_61047	UTY	2.0
-s_57912	TMPRSS11B	2.0
-s_56577	THUMPD1	2.0
-s_8419	C9orf123	2.0
-s_36127	NAT9	2.0
-s_57557	TMEM240	2.0
-s_36157	NBEA	2.0
-s_16271	DMRTA2	2.0
-s_44643	PSG4	2.0
-s_53557	SPINK8	2.0
-s_36256	NCF4	2.0
-s_46280	RASSF6	2.0
-s_47580	RNF141	2.0
-s_8514	C9orf71	2.0
-s_62629	ZBTB4	2.0
-s_4286	ATP1A3	2.0
-s_36001	NAGK	2.0
-s_38778	OPA3	2.0
-s_8907	CAMK2A	2.0
-s_10448	CD5	2.0
-s_20085	FAM69B	2.0
-s_31389	LPCAT1	2.0
-s_56204	TEX34	2.0
-s_30139	KRT72	2.0
-s_34962	MS4A6A	2.0
-s_12886	COL17A1	2.0
-s_46458	RBM4	2.0
-s_37813	NR1I3	2.0
-s_10007	CCNA1	0
-s_10164	CCS	0
-s_10200	CCT7	0
-s_10232	CD164	0
-s_1035	ADAMTS14	0
-s_10381	CD300LG	0
-s_10402	CD37	0
-s_10405	CD38	0
-s_10408	CD3D	0
-s_10425	CD40	0
-s_10434	CD44	0
-s_10437	CD46	0
-s_10541	CD8B	0
-s_10563	CD99L2	0
-s_10582	CDC14B	0
-s_10594	CDC20B	0
-s_10657	CDC42SE2	0
-s_10658	CDC42SE2	0
-s_10785	CDH3	0
-s_10943	CDKL5	0
-s_1101	ADAMTSL4	0
-s_11025	CDSN	0
-s_11054	CEACAM1	0
-s_1113	ADAR	0
-s_11153	CELF4	0
-s_1116	ADARB1	0
-s_11218	CENPL	0
-s_11222	CENPM	0
-s_1127	ADAT2	0
-s_11294	CEP41	0
-s_11317	CEP63	0
-s_11456	CFH	0
-s_11585	CHD1	0
-s_11598	CHD3	0
-s_11692	CHL1	0
-s_1177	ADCY3	0
-s_1179	ADCY4	0
-s_1183	ADCY5	0
-s_11877	CHST13	0
-s_11928	CHUK	0
-s_12015	CITED1	0
-s_12019	CIZ1	0
-s_12021	CIZ1	0
-s_12049	CKLF-CMTM1	0
-s_12057	CKMT2	0
-s_12082	CLCC1	0
-s_12089	CLCF1	0
-s_1212	ADD1	0
-s_12120	CLCN7	0
-s_12121	CLCN7	0
-s_12138	CLDN10	0
-s_12140	CLDN10	0
-s_12177	CLDN2	0
-s_12187	CLDN25	0
-s_12203	CLDND1	0
-s_12209	CLDND2	0
-s_12420	CLPTM1	0
-s_12425	CLPX	0
-s_12433	CLRN2	0
-s_12522	CMPK2	0
-s_12576	CNBP	0
-s_12611	CNGB1	0
-s_12624	CNIH2	0
-s_12666	CNNM3	0
-s_12708	CNP	0
-s_12856	COG8	0
-s_12875	COL14A1	0
-s_12906	COL22A1	0
-s_12923	COL27A1	0
-s_13026	COLEC12	0
-s_13035	COMMD1	0
-s_13067	COMT	0
-s_13091	COPG1	0
-s_13123	COQ2	0
-s_13198	COX11	0
-s_13220	COX4I2	0
-s_13253	COX7A2L	0
-s_13287	CPA5	0
-s_13290	CPA6	0
-s_13309	CPE	0
-s_13328	CPED1	0
-s_13338	CPLX3	0
-s_13387	CPO	0
-s_13389	CPO	0
-s_13393	CPOX	0
-s_13405	CPS1	0
-s_13486	CR2	0
-s_13512	CRB1	0
-s_1357	ADRB1	0
-s_13579	CREBZF	0
-s_13662	CRK	0
-s_13686	CRMP1	0
-s_13718	CRTAM	0
-s_13755	CRYBA1	0
-s_13856	CSF3	0
-s_13857	CSF3	0
-s_13879	CSHL1	0
-s_1393	AEN	0
-s_13937	CSNK2A1	0
-s_13985	CSRP3	0
-s_14021	CSTA	0
-s_14099	CTCFL	0
-s_14107	CTD-2616J11.4	0
-s_14153	CTIF	0
-s_14189	CTNND2	0
-s_14226	CTSC	0
-s_14286	CTU2	0
-s_14338	CUTA	0
-s_14364	CWF19L1	0
-s_14369	CWH43	0
-s_14418	CXCL3	0
-s_14425	CXCL6	0
-s_14439	CXCR4	0
-s_14463	CXXC4	0
-s_14467	CXXC5	0
-s_1450	AGA	0
-s_14520	CXorf61	0
-s_14586	CYBA	0
-s_14670	CYP26A1	0
-s_14761	CYP3A4	0
-s_14894	DAB2IP	0
-s_14938	DALRD3	0
-s_14995	DAXX	0
-s_14996	DAXX	0
-s_15017	DBF4	0
-s_15052	DBP	0
-s_15113	DCAF6	0
-s_15182	DCLRE1A	0
-s_15320	DDI1	0
-s_15363	DDX17	0
-s_15385	DDX23	0
-s_15405	DDX31	0
-s_15438	DDX46	0
-s_15440	DDX47	0
-s_15472	DDX58	0
-s_15482	DDX6	0
-s_15488	DDX60L	0
-s_1549	AGPS	0
-s_1550	AGPS	0
-s_15520	DEF8	0
-s_15522	DEF8	0
-s_15563	DEFB119	0
-s_15566	DEFB119	0
-s_15586	DEFB127	0
-s_15648	DENND2D	0
-s_15655	DENND4A	0
-s_15679	DEPDC1	0
-s_15700	DERL1	0
-s_15731	DFFB	0
-s_15800	DGKI	0
-s_15867	DHRS3	0
-s_15897	DHX16	0
-s_15939	DHX40	0
-s_15965	DIAPH3	0
-s_15988	DIO1	0
-s_1599	AGXT2L1	0
-s_1609	AHCY	0
-s_16149	DLGAP5	0
-s_16175	DLX1	0
-s_16190	DLX3	0
-s_16294	DMXL2	0
-s_16341	DNAH9	0
-s_16417	DNAJC13	0
-s_16505	DNALI1	0
-s_16506	DNALI1	0
-s_16554	DNM2	0
-s_16577	DNMT3A	0
-s_16607	DOCK3	0
-s_1661	AIF1	0
-s_16629	DOCK8	0
-s_1663	AIF1L	0
-s_16675	DOPEY1	0
-s_16745	DPP10	0
-s_16798	DPYD	0
-s_16866	DRGX	0
-s_16867	DRGX	0
-s_1687	AIM1	0
-s_16878	DSC1	0
-s_16993	DUOX1	0
-s_17119	DUT	0
-s_17168	DYNC2LI1	0
-s_17195	DYRK1B	0
-s_17214	DYX1C1	0
-s_17224	DZIP1L	0
-s_17229	E2F1	0
-s_17374	ECT2	0
-s_17432	EDN2	0
-s_17440	EDNRA	0
-s_17442	EDNRB	0
-s_17459	EEF1D	0
-s_1766	AKAP14	0
-s_17709	EHMT2	0
-s_17762	EIF2B4	0
-s_1779	AKAP4	0
-s_17811	EIF3E	0
-s_17901	EIF5A2	0
-s_17942	ELF1	0
-s_17959	ELF5	0
-s_18018	ELOF1	0
-s_18106	EMCN	0
-s_18119	EMID1	0
-s_18125	EMILIN1	0
-s_18145	EML2	0
-s_18170	EMR1	0
-s_18171	EMR1	0
-s_18273	ENPP3	0
-s_1834	AKR1B10	0
-s_18362	EPB41L1	0
-s_18365	EPB41L1	0
-s_18409	EPHA10	0
-s_18423	EPHA4	0
-s_18445	EPHA8	0
-s_18531	EPS8L3	0
-s_18567	ERBB2IP	0
-s_18600	ERCC4	0
-s_18710	ERRFI1	0
-s_18739	ESM1	0
-s_18757	ESR2	0
-s_18767	ESRRA	0
-s_18772	ESRRB	0
-s_18782	ESYT1	0
-s_18809	ETHE1	0
-s_18849	ETV3	0
-s_18865	ETV4	0
-s_18908	EVL	0
-s_18920	EVX2	0
-s_18965	EXOC3L4	0
-s_19006	EXOSC3	0
-s_19048	EXTL2	0
-s_19126	F7	0
-s_19215	FAIM	0
-s_19254	FAM104A	0
-s_19255	FAM104B	0
-s_19499	FAM159A	0
-s_19605	FAM173B	0
-s_19614	FAM175B	0
-s_19633	FAM178A	0
-s_19664	FAM183A	0
-s_19674	FAM186A	0
-s_19699	FAM189B	0
-s_1971	ALDH8A1	0
-s_19728	FAM193A	0
-s_19736	FAM194A	0
-s_19744	FAM195B	0
-s_19747	FAM195B	0
-s_19859	FAM213B	0
-s_1992	ALG1	0
-s_200	ABCC2	0
-s_20007	FAM53A	0
-s_20077	FAM65B	0
-s_20080	FAM65C	0
-s_20106	FAM71B	0
-s_20116	FAM71E1	0
-s_20130	FAM73A	0
-s_20176	FAM83B	0
-s_2023	ALG3	0
-s_20269	FANCC	0
-s_20325	FAS	0
-s_2037	ALG9	0
-s_20377	FAXC	0
-s_20487	FBXO11	0
-s_2053	ALKBH4	0
-s_20616	FBXO7	0
-s_20635	FBXW2	0
-s_20686	FCGR1A	0
-s_20794	FEM1C	0
-s_20861	FGD1	0
-s_2092	ALOX5AP	0
-s_20946	FGF5	0
-s_21104	FIP1L1	0
-s_21231	FLT4	0
-s_21281	FMO4	0
-s_21342	FNDC5	0
-s_21375	FOLR1	0
-s_21504	FOXP1	0
-s_21627	FRMD8	0
-s_21642	FRRS1	0
-s_21650	FRS3	0
-s_21725	FTH1	0
-s_21736	FTSJ1	0
-s_21781	FUT10	0
-s_21813	FUZ	0
-s_21845	FXYD5	0
-s_21887	FZD8	0
-s_21895	G0S2	0
-s_21912	G6PC2	0
-s_21927	GAB1	0
-s_22006	GABRG2	0
-s_22033	GAD1	0
-s_2205	AMELX	0
-s_22151	GALNT5	0
-s_2226	AMIGO2	0
-s_22316	GATAD2A	0
-s_2238	AMMECR1L	0
-s_22485	GCNT2	0
-s_22537	GDF5	0
-s_22595	GEMIN5	0
-s_22608	GEMIN8	0
-s_22699	GGCX	0
-s_22715	GGPS1	0
-s_22741	GH1	0
-s_22810	GIMAP8	0
-s_2306	ANAPC11	0
-s_23236	GNAS	0
-s_23343	GNPDA1	0
-s_23423	GOLT1B	0
-s_23608	GPM6B	0
-s_23618	GPN3	0
-s_23683	GPR132	0
-s_2376	ANGPTL6	0
-s_23767	GPR161	0
-s_23963	GPT2	0
-s_23969	GPX2	0
-s_24129	GRIN2D	0
-s_24146	GRIP1	0
-s_24174	GRM3	0
-s_24199	GRM8	0
-s_24201	GRN	0
-s_24204	GRP	0
-s_24320	GSTCD	0
-s_24383	GTF2A2	0
-s_24430	GTF3C1	0
-s_24448	GTF3C5	0
-s_24533	GUK1	0
-s_2464	ANKRD10	0
-s_24644	HAAO	0
-s_24664	HADHB	0
-s_24741	HAT1	0
-s_24916	HDAC8	0
-s_24922	HDAC9	0
-s_24936	HDGF	0
-s_2497	ANKRD18A	0
-s_25016	HECTD3	0
-s_25027	HECW2	0
-s_2509	ANKRD23	0
-s_25157	HESX1	0
-s_25264	HHLA3	0
-s_25337	HIPK4	0
-s_25380	HIST1H2BC	0
-s_2539	ANKRD33	0
-s_25606	HMGCL	0
-s_25692	HNF1B	0
-s_25696	HNF4A	0
-s_25732	HNRNPCL1	0
-s_2579	ANKRD44	0
-s_2580	ANKRD44	0
-s_25914	HOXC6	0
-s_25988	HPD	0
-s_26064	HRC	0
-s_26290	HSPA8	0
-s_26388	HTR3D	0
-s_26556	ICT1	0
-s_26557	ICT1	0
-s_26805	IGDCC3	0
-s_26858	IGFBP4	0
-s_26862	IGFBP5	0
-s_26987	IKBKG	0
-s_27005	IKZF3	0
-s_27030	IL12A	0
-s_27046	IL13	0
-s_27111	IL17REL	0
-s_27114	IL18	0
-s_27146	IL1F10	0
-s_27151	IL1R1	0
-s_27183	IL1RN	0
-s_27202	IL20RB	0
-s_27215	IL22RA1	0
-s_27236	IL24	0
-s_27265	IL2RA	0
-s_27266	IL2RA	0
-s_2729	ANXA11	0
-s_27311	IL36G	0
-s_27324	IL37	0
-s_27330	IL4I1	0
-s_27332	IL4I1	0
-s_27347	IL6R	0
-s_27412	IMPA1	0
-s_27482	ING4	0
-s_27571	INS	0
-s_27580	INSIG1	0
-s_27604	INSM2	0
-s_27693	IP6K3	0
-s_27760	IQCF1	0
-s_27828	IRAK2	0
-s_27843	IRF1	0
-s_27868	IRF6	0
-s_27958	IST1	0
-s_27995	ITGA11	0
-s_28004	ITGA3	0
-s_2807	AP2A1	0
-s_28135	ITM2A	0
-s_28192	ITSN1	0
-s_28215	IYD	0
-s_2828	AP3B2	0
-s_28288	JMJD1C	0
-s_2837	AP3S1	0
-s_28436	KAT8	0
-s_28463	KAZN	0
-s_28510	KCNA10	0
-s_28650	KCNIP1	0
-s_28680	KCNJ13	0
-s_28725	KCNK10	0
-s_28742	KCNK16	0
-s_28750	KCNK18	0
-s_28834	KCNQ4	0
-s_29117	KIAA0284	0
-s_29140	KIAA0430	0
-s_29312	KIAA1598	0
-s_29387	KIF13A	0
-s_29471	KIF2B	0
-s_29554	KIRREL3	0
-s_29561	KISS1	0
-s_29590	KLC3	0
-s_29591	KLC4	0
-s_29627	KLF15	0
-s_2968	APLP1	0
-s_29735	KLHL18	0
-s_29841	KLHL8	0
-s_29843	KLHL9	0
-s_29897	KLK8	0
-s_299	ABHD14B	0
-s_30162	KRT8	0
-s_30215	KRTAP12-3	0
-s_30263	KRTAP26-1	0
-s_30311	KRTAP9-3	0
-s_30357	L3MBTL1	0
-s_30378	LACE1	0
-s_30446	LAMC1	0
-s_3051	APOF	0
-s_30538	LARP7	0
-s_30551	LAS1L	0
-s_30559	LAT	0
-s_30590	LBR	0
-s_3067	APOL3	0
-s_30738	LDHD	0
-s_30741	LDLR	0
-s_30745	LDLRAD1	0
-s_30755	LDLRAP1	0
-s_30825	LEPRE1	0
-s_30864	LGALS12	0
-s_30870	LGALS14	0
-s_31007	LIAS	0
-s_31011	LIF	0
-s_31023	LIG4	0
-s_31115	LIN9	0
-s_31142	LIPF	0
-s_31160	LIPJ	0
-s_3120	AQP10	0
-s_31206	LMAN2	0
-s_31223	LMBRD2	0
-s_31279	LMOD1	0
-s_31294	LMX1A	0
-s_31338	LOX	0
-s_31344	LOXHD1	0
-s_3141	AQP6	0
-s_31415	LPHN3	0
-s_31436	LPL	0
-s_3145	AQP7	0
-s_31454	LPPR5	0
-s_3146	AQP8	0
-s_3152	AQP9	0
-s_31550	LRP12	0
-s_31587	LRP8	0
-s_316	ABHD2	0
-s_31657	LRRC25	0
-s_3173	ARAP2	0
-s_31733	LRRC42	0
-s_31805	LRRC71	0
-s_31854	LRRFIP2	0
-s_32	AADACL2	0
-s_32012	LTBP1	0
-s_32024	LTBP3	0
-s_32073	LUZP1	0
-s_32131	LY75-CD302	0
-s_32160	LYL1	0
-s_32271	LZIC	0
-s_32315	MACROD2	0
-s_32407	MAGEC3	0
-s_32418	MAGEE2	0
-s_32434	MAGI3	0
-s_32474	MAMDC4	0
-s_32504	MAN1A2	0
-s_32521	MAN2B1	0
-s_32555	MANSC1	0
-s_32594	MAP2	0
-s_32656	MAP3K7	0
-s_32657	MAP3K7	0
-s_32687	MAP6	0
-s_32689	MAP6	0
-s_32700	MAP7	0
-s_32773	MAPKAP1	0
-s_32837	4-Mar	0
-s_32844	6-Mar	0
-s_32962	MATN3	0
-s_3297	ARHGAP26	0
-s_33017	MBD4	0
-s_3312	ARHGAP30	0
-s_33131	MCF2	0
-s_3317	ARHGAP30	0
-s_33192	MCM9	0
-s_33218	MCRS1	0
-s_33319	MECP2	0
-s_33476	MEIS2	0
-s_33561	METTL1	0
-s_33565	METTL11B	0
-s_33625	METTL23	0
-s_33723	MFNG	0
-s_33750	MFSD2B	0
-s_338	ABI1	0
-s_33812	MGAT4B	0
-s_33844	MGST1	0
-s_33885	MICAL3	0
-s_33958	MINA	0
-s_34151	MLXIPL	0
-s_34213	MMP2	0
-s_34226	MMP24	0
-s_34294	MNT	0
-s_34310	MOB1B	0
-s_3432	ARHGEF26	0
-s_3437	ARHGEF3	0
-s_34406	MORF4L2	0
-s_34464	MPDZ	0
-s_34474	MPHOSPH10	0
-s_34503	MPND	0
-s_34529	MPP7	0
-s_34624	MRI1	0
-s_34715	MRPL33	0
-s_34909	MRRF	0
-s_34918	MRVI1	0
-s_34944	MS4A14	0
-s_35008	MSH4	0
-s_35013	MSH4	0
-s_35139	MTA1	0
-s_35186	MTF1	0
-s_3526	ARL11	0
-s_35281	MTMR7	0
-s_35375	MUC1	0
-s_35396	MUC21	0
-s_35406	MUC4	0
-s_3544	ARL16	0
-s_35478	MXD1	0
-s_35480	MXD3	0
-s_35497	MXRA7	0
-s_35519	MYBPC1	0
-s_35569	MYD88	0
-s_35596	MYH11	0
-s_35682	MYLK	0
-s_35796	MYOF	0
-s_35811	MYOM3	0
-s_35836	MYPOP	0
-s_35923	NAA60	0
-s_35935	NAALADL2	0
-s_35964	NACC1	0
-s_35973	NADK	0
-s_36044	NANS	0
-s_36143	NAV2	0
-s_36222	NCAPH2	0
-s_36273	NCKAP1L	0
-s_36282	NCKAP5	0
-s_36286	NCKIPSD	0
-s_36335	NCR1	0
-s_36342	NCR3	0
-s_36351	NCS1	0
-s_36386	NDOR1	0
-s_36482	NDUFAF3	0
-s_3650	ARMCX4	0
-s_36519	NDUFB5	0
-s_3668	ARNTL2	0
-s_3670	ARPC1A	0
-s_36703	NELF	0
-s_36740	NEU1	0
-s_36825	NFATC2	0
-s_37035	NINJ1	0
-s_37048	NIPA1	0
-s_37084	NIT1	0
-s_37091	NIT2	0
-s_37103	NKAIN4	0
-s_37151	NKX2-5	0
-s_37222	NLRC4	0
-s_37258	NLRP3	0
-s_37274	NLRP7	0
-s_37286	NMB	0
-s_37326	NME7	0
-s_37384	NMUR1	0
-s_37407	NOA1	0
-s_37430	NODAL	0
-s_37438	NOL10	0
-s_37451	NOL4	0
-s_37502	NOS1	0
-s_37572	NOX1	0
-s_37579	NOX4	0
-s_37655	NPHP1	0
-s_37801	NR1H4	0
-s_37810	NR1I3	0
-s_37816	NR2C1	0
-s_37863	NR4A2	0
-s_37868	NR4A3	0
-s_3791	ARV1	0
-s_37945	NRL	0
-s_37963	NRP2	0
-s_37972	NRSN2	0
-s_37991	NRXN2	0
-s_38022	NSFL1C	0
-s_38097	NT5DC2	0
-s_38124	NTM	0
-s_3813	ASAP1	0
-s_38169	NTRK2	0
-s_38179	NTSR2	0
-s_38202	NUBP2	0
-s_38205	NUBPL	0
-s_38212	NUCB2	0
-s_38225	NUDCD2	0
-s_38305	NUDT7	0
-s_38336	NUMB	0
-s_3841	ASB11	0
-s_38429	NUSAP1	0
-s_38431	NUSAP1	0
-s_38516	NYX	0
-s_38525	OAS1	0
-s_38567	OBSL1	0
-s_38592	OCM2	0
-s_38602	ODAM	0
-s_38679	OGG1	0
-s_38683	OGG1	0
-s_38747	OLR1	0
-s_3881	ASB4	0
-s_38824	OPRM1	0
-s_38825	OPRM1	0
-s_38832	OPTC	0
-s_3888	ASB6	0
-s_38901	OR10W1	0
-s_38963	OR1A2	0
-s_39135	OR2T8	0
-s_39192	OR4D6	0
-s_39237	OR4X2	0
-s_39262	OR51F2	0
-s_3938	ASGR2	0
-s_39500	OR7D4	0
-s_39620	OSBP2	0
-s_39650	OSBPL3	0
-s_39654	OSBPL5	0
-s_39737	OTOA	0
-s_39747	OTOF	0
-s_39802	OTUD7A	0
-s_39865	OXSM	0
-s_39964	PABPC1	0
-s_39972	PABPC4	0
-s_39987	PACRGL	0
-s_40004	PACSIN2	0
-s_40016	PADI2	0
-s_40055	PAGE2B	0
-s_40089	PAK2	0
-s_40120	PALM	0
-s_40137	PAM	0
-s_40148	PAN2	0
-s_40156	PANK1	0
-s_40159	PANK2	0
-s_40182	PAOX	0
-s_40184	PAPD4	0
-s_40227	PAQR5	0
-s_4025	ASS1	0
-s_40261	PARD6B	0
-s_40269	PARK2	0
-s_40316	PARP3	0
-s_40392	PAX3	0
-s_40395	PAX3	0
-s_40397	PAX3	0
-s_4041	ASTN2	0
-s_40436	PBOV1	0
-s_40457	PCBD1	0
-s_40487	PCDH11X	0
-s_40510	PCDH19	0
-s_40521	PCDH7	0
-s_40597	PCDHB2	0
-s_40606	PCDHB8	0
-s_40925	PDE2A	0
-s_40936	PDE4A	0
-s_41027	PDE8B	0
-s_41077	PDIA2	0
-s_41084	PDIA4	0
-s_41138	PDLIM5	0
-s_41141	PDLIM7	0
-s_41145	PDP1	0
-s_41185	PDYN	0
-s_41279	PELP1	0
-s_41294	PER2	0
-s_41347	PEX19	0
-s_41439	PFN4	0
-s_41474	PGBD2	0
-s_41620	PHF13	0
-s_41701	PHKG2	0
-s_41772	PHYHIPL	0
-s_41807	PIAS1	0
-s_41879	PIGR	0
-s_41955	PIK3CD	0
-s_42051	PIP5KL1	0
-s_42055	PIP5KL1	0
-s_42068	PISD	0
-s_42081	PITPNC1	0
-s_4209	ATL2	0
-s_42107	PITX3	0
-s_42123	PJA1	0
-s_42148	PKD2L2	0
-s_42162	PKHD1L1	0
-s_42181	PKM	0
-s_42215	PKP3	0
-s_4224	ATN1	0
-s_42243	PLA2G16	0
-s_42261	PLA2G2E	0
-s_42292	PLA2G5	0
-s_42305	PLA2R1	0
-s_42321	PLAC8L1	0
-s_42351	PLB1	0
-s_42366	PLCB2	0
-s_42392	PLCH1	0
-s_42446	PLEC	0
-s_42467	PLEKHA5	0
-s_42519	PLEKHG6	0
-s_42536	PLEKHM1	0
-s_42544	PLEKHM3	0
-s_42554	PLEKHO1	0
-s_42560	PLEKHS1	0
-s_42616	PLOD1	0
-s_42663	PLSCR5	0
-s_42751	PML	0
-s_42792	PNCK	0
-s_42839	PNN	0
-s_42932	PODXL2	0
-s_43016	POLK	0
-s_43060	POLR2C	0
-s_43122	POLR3G	0
-s_43155	POMT1	0
-s_43158	POMT1	0
-s_43253	POU6F2	0
-s_43302	PPAPDC1B	0
-s_43354	PPFIA1	0
-s_4339	ATP2C1	0
-s_43430	PPIL4	0
-s_43445	PPM1A	0
-s_43527	PPP1R12B	0
-s_43533	PPP1R13B	0
-s_43542	PPP1R14A	0
-s_43623	PPP1R3F	0
-s_43629	PPP1R42	0
-s_43789	PQLC2	0
-s_43834	PRAMEF13	0
-s_43837	PRAMEF16	0
-s_43862	PRB4	0
-s_4406	ATP5S	0
-s_44065	PRKACB	0
-s_44075	PRKAG2	0
-s_44091	PRKAR1B	0
-s_441	AC013461.1	0
-s_44162	PRKRA	0
-s_44181	PRLH	0
-s_44189	PRLR	0
-s_44260	PROKR1	0
-s_44270	PROM1	0
-s_44298	PRPF18	0
-s_44319	PRPF39	0
-s_44361	PRPSAP2	0
-s_44460	PRRT2	0
-s_44485	PRSS12	0
-s_4457	ATP6V0E2	0
-s_44634	PSG11	0
-s_44654	PSG8	0
-s_44726	PSMB5	0
-s_44739	PSMB8	0
-s_44746	PSMB9	0
-s_44782	PSMD13	0
-s_44808	PSMD8	0
-s_44910	PTCH1	0
-s_44935	PTCHD4	0
-s_45050	PTK2	0
-s_4507	ATP6V1H	0
-s_45113	PTPN12	0
-s_45128	PTPN18	0
-s_45139	PTPN22	0
-s_45141	PTPN22	0
-s_45165	PTPN7	0
-s_4523	ATP8A1	0
-s_45249	PTPRU	0
-s_45290	PUF60	0
-s_45296	PUM1	0
-s_45536	R3HCC1L	0
-s_45566	RAB11FIP1	0
-s_45586	RAB11FIP5	0
-s_45600	RAB15	0
-s_45601	RAB15	0
-s_45604	RAB17	0
-s_45627	RAB24	0
-s_45707	RAB3C	0
-s_45729	RAB3IP	0
-s_45763	RAB6A	0
-s_45796	RAB9B	0
-s_45894	RAD51AP1	0
-s_45908	RAD51C	0
-s_45960	RAI14	0
-s_45961	RAI14	0
-s_46068	RAP1GDS1	0
-s_46107	RAPH1	0
-s_46265	RASSF4	0
-s_46298	RAVER2	0
-s_46321	RBBP5	0
-s_46328	RBBP7	0
-s_46355	RBFOX3	0
-s_46452	RBM39	0
-s_46581	RCAN1	0
-s_46634	RCOR2	0
-s_46639	RCSD1	0
-s_46646	RD3	0
-s_46657	RDH10	0
-s_46672	RDH13	0
-s_46717	REEP1	0
-s_46821	RERG	0
-s_46827	RERGL	0
-s_46848	RETNLB	0
-s_46976	RFXANK	0
-s_47005	RGL2	0
-s_4703	AXIN1	0
-s_47100	RGS3	0
-s_47144	RHAG	0
-s_47186	RHD	0
-s_47216	RHOC	0
-s_47394	RIPPLY1	0
-s_47413	RLBP1	0
-s_47554	RNF130	0
-s_47584	RNF144A	0
-s_47594	RNF145	0
-s_47622	RNF165	0
-s_47710	RNF215	0
-s_47777	RNF44	0
-s_47780	RNF6	0
-s_47786	RNF7	0
-s_47791	RNF8	0
-s_47915	RP11-178D12.1	0
-s_47946	RP11-428C6.1	0
-s_47969	RP11-6F2.7	0
-s_47970	RP11-6F2.7	0
-s_48013	RP4-697K14.7	0
-s_48066	RPAP3	0
-s_48073	RPE	0
-s_48097	RPH3AL	0
-s_48098	RPH3AL	0
-s_48179	RPL36	0
-s_48201	RPL6	0
-s_4837	B4GALT5	0
-s_48399	RPUSD2	0
-s_4841	B4GALT6	0
-s_48414	RQCD1	0
-s_4843	B4GALT7	0
-s_48438	RREB1	0
-s_48461	RRNAD1	0
-s_48488	RRS1	0
-s_48512	RSC1A1	0
-s_4868	BACE1	0
-s_48714	RUSC1	0
-s_48860	S100B	0
-s_48874	S100Z	0
-s_48933	SALL3	0
-s_4898	BAG4	0
-s_49069	SASS6	0
-s_49192	SCARB1	0
-s_49246	SCGB1D1	0
-s_4925	BAIAP2	0
-s_49278	SCIN	0
-s_49297	SCML1	0
-s_49354	SCN7A	0
-s_49570	SDR9C7	0
-s_49599	SEC14L2	0
-s_49625	SEC22A	0
-s_49651	SEC24D	0
-s_49668	SEC61A2	0
-s_49706	SELE	0
-s_4972	BARHL2	0
-s_49775	SEMA4F	0
-s_49799	SEMA6D	0
-s_49844	SEPP1	0
-s_49859	12-Sep	0
-s_49881	5-Sep	0
-s_49934	SERINC5	0
-s_49957	SERPINA3	0
-s_50004	SERPINB5	0
-s_5001	BAX	0
-s_5006	BAZ1A	0
-s_50112	SETD3	0
-s_50123	SETD6	0
-s_50127	SETD7	0
-s_50162	SEZ6L2	0
-s_5022	BAZ2B	0
-s_5026	BBC3	0
-s_50280	SGCA	0
-s_50284	SGCB	0
-s_50342	SGPP2	0
-s_50388	SH2D3C	0
-s_50391	SH2D3C	0
-s_50491	SH3KBP1	0
-s_505	ACACB	0
-s_50517	SH3TC2	0
-s_5056	BBS4	0
-s_50560	SHE	0
-s_50596	SHISA6	0
-s_50652	SI	0
-s_50684	SIGLEC1	0
-s_50692	SIGLEC10	0
-s_50693	SIGLEC11	0
-s_50722	SIGLEC9	0
-s_50761	SIPA1	0
-s_50779	SIRPB1	0
-s_50780	SIRPB1	0
-s_51043	SLC15A1	0
-s_51096	SLC16A5	0
-s_51179	SLC1A2	0
-s_51276	SLC22A5	0
-s_51312	SLC24A4	0
-s_51344	SLC25A13	0
-s_51482	SLC25A5	0
-s_51528	SLC26A9	0
-s_51555	SLC28A1	0
-s_51613	SLC2A6	0
-s_51660	SLC30A6	0
-s_51715	SLC35A4	0
-s_51729	SLC35B3	0
-s_51774	SLC35F3	0
-s_51783	SLC35G2	0
-s_51872	SLC39A14	0
-s_51904	SLC39A8	0
-s_52017	SLC4A2	0
-s_52093	SLC5A5	0
-s_52206	SLC7A14	0
-s_52255	SLC8A2	0
-s_52313	SLC9B1	0
-s_52364	SLCO4C1	0
-s_52383	SLFN13	0
-s_52421	SLITRK4	0
-s_52435	SLMO1	0
-s_52485	SMAP1	0
-s_5253	BCO2	0
-s_52574	SMCR8	0
-s_52587	SMG5	0
-s_52601	SMG7	0
-s_52617	SMO	0
-s_52642	SMPD4	0
-s_5268	BDH1	0
-s_52758	SNAPIN	0
-s_52784	SNIP1	0
-s_52787	SNIP1	0
-s_52833	SNRPB2	0
-s_52989	SNX8	0
-s_53	AAK1	0
-s_53048	SON	0
-s_53055	SORBS1	0
-s_53109	SOSTDC1	0
-s_53151	SOX30	0
-s_53153	SOX30	0
-s_53181	SP100	0
-s_53438	SPDYC	0
-s_53476	SPERT	0
-s_53512	SPI1	0
-s_53525	SPIN1	0
-s_53535	SPINK1	0
-s_53555	SPINK6	0
-s_53574	SPINT1	0
-s_53639	SPP1	0
-s_53691	SPRR3	0
-s_53740	SPTA1	0
-s_53830	SREK1	0
-s_53993	SSBP1	0
-s_54019	SSPN	0
-s_54054	SSTR5	0
-s_54078	ST14	0
-s_54092	ST3GAL3	0
-s_54099	ST3GAL3	0
-s_54292	STAT5A	0
-s_54305	STATH	0
-s_54314	STAU2	0
-s_54327	STC2	0
-s_5437	BIN2	0
-s_54380	STK17A	0
-s_54403	STK3	0
-s_54480	STON1	0
-s_54588	STX5	0
-s_54609	STXBP4	0
-s_54639	SUCLG1	0
-s_54645	SUCNR1	0
-s_54679	SULT1B1	0
-s_54684	SULT1C3	0
-s_54704	SULT2B1	0
-s_54758	SUPT4H1	0
-s_54772	SUPV3L1	0
-s_54801	SUSD4	0
-s_54866	SWT1	0
-s_5492	BLOC1S3	0
-s_54942	SYNDIG1	0
-s_5503	BMF	0
-s_55131	SZT2	0
-s_55147	TAAR8	0
-s_55187	TACO1	0
-s_55464	TAS2R8	0
-s_55509	TBC1D10C	0
-s_55520	TBC1D14	0
-s_55528	TBC1D15	0
-s_55577	TBC1D30	0
-s_55709	TBX21	0
-s_55725	TBX5	0
-s_55844	TCF4	0
-s_55845	TCF4	0
-s_55862	TCF7L2	0
-s_55868	TCHH	0
-s_5588	BNIP2	0
-s_55911	TCP10L2	0
-s_55913	TCP11	0
-s_55922	TCP11L2	0
-s_55946	TCTN1	0
-s_56006	TEAD2	0
-s_56014	TEAD4	0
-s_56080	TEN1	0
-s_56099	TERF1	0
-s_56118	TES	0
-s_56167	TEX13B	0
-s_5618	BOK	0
-s_56207	TEX9	0
-s_56284	TFEC	0
-s_56297	TFG	0
-s_56361	TGFBR2	0
-s_56373	TGIF1	0
-s_56415	TGS1	0
-s_56492	THEM4	0
-s_56509	THNSL1	0
-s_5655	BPIFA1	0
-s_56621	TIFA	0
-s_56646	TIMD4	0
-s_56684	TIMM8B	0
-s_56805	TLL1	0
-s_56819	TLR10	0
-s_56826	TLR3	0
-s_56873	TM4SF18	0
-s_57016	TMED10	0
-s_57082	TMEM106C	0
-s_57087	TMEM107	0
-s_57150	TMEM127	0
-s_57173	TMEM132B	0
-s_57181	TMEM132E	0
-s_57189	TMEM134	0
-s_57288	TMEM164	0
-s_57299	TMEM167B	0
-s_57409	TMEM194A	0
-s_57422	TMEM198	0
-s_57429	TMEM2	0
-s_57475	TMEM212	0
-s_57531	TMEM231	0
-s_57568	TMEM245	0
-s_57700	TMEM54	0
-s_57873	TMF1	0
-s_57992	TMUB1	0
-s_58180	TNIP1	0
-s_58211	TNKS2	0
-s_58237	TNNT1	0
-s_58256	TNPO2	0
-s_58259	TNPO3	0
-s_58309	TOM1	0
-s_58485	TP73	0
-s_58503	TPD52	0
-s_58533	TPI1	0
-s_5857	BSPRY	0
-s_58612	TPSG1	0
-s_58633	TRA2B	0
-s_58655	TRAF3	0
-s_58668	TRAF3IP2	0
-s_58690	TRAK1	0
-s_58809	TRIB2	0
-s_58962	TRIM50	0
-s_58968	TRIM52	0
-s_59050	TRIO	0
-s_59107	TRMT1L	0
-s_59133	TRMT61B	0
-s_59160	TROVE2	0
-s_59173	TRPC4	0
-s_59196	TRPM1	0
-s_59204	TRPM3	0
-s_59311	TSEN54	0
-s_59332	TSHB	0
-s_59340	TSHZ2	0
-s_59360	TSNARE1	0
-s_5952	BTG4	0
-s_59539	TTC21A	0
-s_59602	TTC39A	0
-s_59654	TTC9C	0
-s_59717	TTLL6	0
-s_5974	BTN3A1	0
-s_59748	TTYH1	0
-s_59807	TUBB2B	0
-s_59859	TULP1	0
-s_59870	TULP3	0
-s_59955	TXNDC8	0
-s_59983	TXNRD2	0
-s_600	ACE	0
-s_60169	UBE2H	0
-s_60209	UBE2Q2	0
-s_60237	UBE2V2	0
-s_60248	UBE3A	0
-s_60250	UBE3B	0
-s_60373	UBXN6	0
-s_60396	UCKL1	0
-s_60423	UEVLD	0
-s_60438	UFSP1	0
-s_60449	UGDH	0
-s_60517	UGT2A1	0
-s_60542	UGT3A1	0
-s_60603	UMODL1	0
-s_60614	UNC119	0
-s_60649	UNC5B	0
-s_6068	C10orf125	0
-s_6071	C10orf128	0
-s_60753	UQCRC2	0
-s_60780	URM1	0
-s_60839	USP15	0
-s_60851	USP19	0
-s_60925	USP4	0
-s_6100	C10orf53	0
-s_6106	C10orf54	0
-s_61149	VAV2	0
-s_61173	VCAM1	0
-s_61178	VCAN	0
-s_61221	VEPH1	0
-s_61263	VIL1	0
-s_61341	VPS13C	0
-s_61344	VPS13D	0
-s_61367	VPS29	0
-s_61529	VWA5A	0
-s_61531	VWA5A	0
-s_61587	WBP1	0
-s_61595	WBP2	0
-s_61623	WDFY1	0
-s_61640	WDHD1	0
-s_61662	WDR16	0
-s_61695	WDR26	0
-s_61739	WDR44	0
-s_6200	C11orf49	0
-s_62019	WISP1	0
-s_62098	WNT5B	0
-s_62114	WNT8A	0
-s_62171	WTAP	0
-s_62249	XKR3	0
-s_62257	XKR6	0
-s_62275	XPC	0
-s_62320	XRCC4	0
-s_62361	YAE1D1	0
-s_62550	ZBBX	0
-s_62559	ZBED6	0
-s_62567	ZBTB1	0
-s_62624	ZBTB37	0
-s_62657	ZBTB47	0
-s_62759	ZC3H7A	0
-s_62845	ZDHHC11	0
-s_62862	ZDHHC16	0
-s_62881	ZDHHC2	0
-s_6292	C12orf23	0
-s_62975	ZFC3H1	0
-s_63034	ZFP64	0
-s_63104	ZFYVE27	0
-s_63107	ZFYVE27	0
-s_63114	ZFYVE28	0
-s_63217	ZMIZ2	0
-s_63228	ZMYM3	0
-s_63234	ZMYM3	0
-s_6326	C12orf49	0
-s_63302	ZNF132	0
-s_63362	ZNF167	0
-s_63435	ZNF200	0
-s_63487	ZNF223	0
-s_63594	ZNF276	0
-s_636	ACO1	0
-s_63746	ZNF354B	0
-s_63755	ZNF362	0
-s_6376	C12orf74	0
-s_63903	ZNF436	0
-s_63905	ZNF438	0
-s_63923	ZNF442	0
-s_63934	ZNF445	0
-s_63935	ZNF446	0
-s_63964	ZNF469	0
-s_63983	ZNF480	0
-s_6409	C14orf105	0
-s_64137	ZNF554	0
-s_64241	ZNF586	0
-s_6427	C14orf133	0
-s_64356	ZNF639	0
-s_64393	ZNF655	0
-s_64396	ZNF655	0
-s_64419	ZNF668	0
-s_64424	ZNF669	0
-s_64459	ZNF682	0
-s_64479	ZNF688	0
-s_64581	ZNF746	0
-s_64627	ZNF772	0
-s_64638	ZNF776	0
-s_64652	ZNF780A	0
-s_64791	ZNF85	0
-s_64851	ZNRF3	0
-s_64871	ZPBP	0
-s_64878	ZPLD1	0
-s_64898	ZSCAN10	0
-s_64930	ZSCAN30	0
-s_64997	ZYG11A	0
-s_6525	C15orf39	0
-s_6592	C16orf13	0
-s_6639	C16orf62	0
-s_6707	C17orf102	0
-s_6710	C17orf104	0
-s_6728	C17orf112	0
-s_6736	C17orf39	0
-s_6794	C17orf72	0
-s_6814	C17orf80	0
-s_6849	C18orf21	0
-s_6859	C18orf32	0
-s_6862	C18orf34	0
-s_6906	C19orf38	0
-s_7053	C1QTNF7	0
-s_7128	C1orf122	0
-s_7144	C1orf130	0
-s_7162	C1orf144	0
-s_7234	C1orf198	0
-s_7341	C1orf63	0
-s_747	ACSL1	0
-s_76	AARS2	0
-s_7674	C2orf57	0
-s_7681	C2orf62	0
-s_7692	C2orf63	0
-s_77	AARSD1	0
-s_78	AARSD1	0
-s_781	ACSS1	0
-s_786	ACSS2	0
-s_7940	C4orf26	0
-s_7970	C4orf37	0
-s_8000	C4orf52	0
-s_804	ACTB	0
-s_8073	C5orf51	0
-s_8141	C6orf162	0
-s_8227	C7orf10	0
-s_8281	C7orf59	0
-s_8318	C8A	0
-s_8403	C9orf100	0
-s_8470	C9orf24	0
-s_8699	CACNA1G	0
-s_8705	CACNA1I	0
-s_871	ACTR8	0
-s_874	ACTR8	0
-s_8757	CACNG5	0
-s_8797	CADPS	0
-s_8879	CALR	0
-s_8910	CAMK2B	0
-s_893	ACVR1B	0
-s_8930	CAMKK1	0
-s_8954	CAMSAP1	0
-s_9064	CAPRIN1	0
-s_9077	CAPSL	0
-s_9109	CARD17	0
-s_913	ACY1	0
-s_9171	CASD1	0
-s_9196	CASP10	0
-s_9285	CATSPER3	0
-s_9506	CCDC120	0
-s_9507	CCDC121	0
-s_952	ADAM12	0
-s_9584	CCDC149	0
-s_964	ADAM18	0
-s_9646	CCDC170	0
-s_9710	CCDC40	0
-s_9732	CCDC48	0
-s_976	ADAM21	0
-s_9763	CCDC62	0
-s_9868	CCDC89	0
-s_991	ADAM30	0
-s_9925	CCL1	0
-s_9973	CCL26	0
--- a/test-data/output_countsummary.Rnw	Wed Apr 04 11:03:59 2018 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,237 +0,0 @@
-% This is a template file for Sweave used in MAGeCK
-% Author: Wei Li, Shirley Liu lab
-% Do not modify lines beginning with "#__".
-\documentclass{article}
-
-\usepackage{amsmath}
-\usepackage{amscd}
-\usepackage[tableposition=top]{caption}
-\usepackage{ifthen}
-\usepackage{fullpage}
-\usepackage[utf8]{inputenc}
-% \usepackage{longtable}
-
-\begin{document}
-\setkeys{Gin}{width=0.9\textwidth}
-
-\title{MAGeCK Count Report}
-\author{Wei Li}
-
-\maketitle
-
-
-\tableofcontents
-
-\section{Summary}
-
-%Function definition
-<<label=funcdef,include=FALSE,echo=FALSE>>=
-genreporttable<-function(filelist,labellist,reads,mappedreads){
-  xtb=data.frame(Label=labellist,Reads=reads,MappedReads=mappedreads,MappedPercentage=mappedreads/reads);
-  colnames(xtb)=c("Label","Reads","Mapped","Percentage");
-  return (xtb);
-}
-genreporttable2<-function(filelist,labellist,sgrnas,zerocounts,gini){
-  xtb=data.frame(Label=labellist,TotalsgRNAs=sgrnas,ZeroCounts=zerocounts,GiniIndex=gini);
-  colnames(xtb)=c("Label","TotalsgRNA","ZeroCounts","GiniIndex");
-  return (xtb);
-}
-genreporttable3<-function(filelist,labellist){
-  xtb=data.frame(File=filelist,Label=labellist);
-  colnames(xtb)=c("File","Label");
-  return (xtb);
-}
-
-
-colors=c( "#E41A1C", "#377EB8", "#4DAF4A", "#984EA3", "#FF7F00",  "#A65628", "#F781BF",
-          "#999999", "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854", "#FFD92F", "#E5C494", "#B3B3B3", 
-          "#8DD3C7", "#FFFFB3", "#BEBADA", "#FB8072", "#80B1D3", "#FDB462", "#B3DE69", "#FCCDE5",
-          "#D9D9D9", "#BC80BD", "#CCEBC5", "#FFED6F");
-
-
-
-genboxplot<-function(filename,...){
-  #slmed=read.table(filename,header=T)
-  slmed=read.table(filename,header=T)
-  slmat=as.matrix(slmed[,c(-1,-2)])
-  slmat_log=log2(slmat+1)
-
-  boxplot(slmat_log,pch='.',las=2,ylab='log2(read counts)',cex.axis=0.8,...)
-}
-
-
-genhistplot<-function(filename,isfile=T,...){
-  if(isfile){
-    slmed=read.table(filename,header=T)
-  }else{
-    slmed=filename;
-  }
-  tabsmat=as.matrix(log2(slmed[,c(-1,-2)]+1))
-  colnames(tabsmat)=colnames(slmed)[c(-1,-2)]
-  samplecol=colors[((1:ncol(tabsmat)) %% length(colors)) ]
-  if(ncol(tabsmat)>=1){
-    histlist=lapply(1:ncol(tabsmat),function(X){ return (hist(tabsmat[,X],plot=F,breaks=40)) })
-    xrange=range(unlist(lapply(histlist,function(X){X$mids})))
-    yrange=range(unlist(lapply(histlist,function(X){X$counts})))
-    hst1=histlist[[1]]
-    plot(hst1$mids,hst1$counts,type='b',pch=20,xlim=c(0,xrange[2]*1.2),ylim=c(0,yrange[2]*1.2),xlab='log2(counts)',ylab='Frequency',main='Distribution of read counts',col = samplecol[1], ... )
-  }
-  if(ncol(tabsmat)>=2){ 
-    for(i in 2:ncol(tabsmat)){
-      hstn=histlist[[i]]
-      lines(hstn$mids,hstn$counts,type='b',pch=20,col=samplecol[i])
-    }
-  }
-  legend('topright',colnames(tabsmat),pch=20,lwd=1,col=samplecol)
-}
-
-
-
-genclustering<-function(filename,...){
-  #slmed=read.table(filename,header=T)
-  slmed=read.table(filename,header=T)
-  slmat=as.matrix(slmed[,c(-1,-2)])
-  slmat_log=log2(slmat+1)
-
-  result=tryCatch({
-    library(gplots);
-    heatmap.2(cor(slmat_log),trace = 'none',density.info = 'none',cexRow = 0.8,cexCol = 0.8,offsetRow = -0.2,offsetCol = -0.2)
-  }, error=function(e){
-    heatmap(cor(slmat_log),scale='none',cexRow = 0.8,cexCol = 0.8,cex.axis=0.8,...)
-  });
-}
-
-ctfit_tx=0;
-
-
-panel.plot<-function(x,y,textnames=names(x),...){
-  par(new=TRUE)
-  m<-cbind(x,y)
-  plot(m,pch=20,xlim = range(x)*1.1,ylim=range(y)*1.1,...)
-  text(x,y,textnames,...)
-}
-
-
-genpcaplot<-function(filename,...){
-  #slmed=read.table(filename,header=T)
-  slmed=read.table(filename,header=T)
-  slmat=as.matrix(slmed[,c(-1,-2)])
-  slmat_log=log2(slmat+1)
-  ctfit_tx<<-prcomp(t(slmat_log),center=TRUE)
-  
-  # par(mfrow=c(2,1));
-  samplecol=colors[((1:ncol(slmat)) %% length(colors)) ]
-  # first 2 PCA
-  #plot(ctfit_tx$x[,1],ctfit_tx$x[,2],xlab='PC1',ylab='PC2',main='First 2 PCs',col=samplecol,xlim=1.1*range(ctfit_tx$x[,1]),ylim=1.1*range(ctfit_tx$x[,2]));
-  #text(ctfit_tx$x[,1],ctfit_tx$x[,2],rownames(ctfit_tx$x),col=samplecol);
-  # par(mfrow=c(1,1));
-  if(length(samplecol)>2){
-    pairs(ctfit_tx$x[,1:3],panel=panel.plot,textnames=rownames(ctfit_tx$x),main='First 3 principle components',col=samplecol)
-  }else{
-    if(length(samplecol)>1){
-      pairs(ctfit_tx$x[,1:2],panel=panel.plot,textnames=rownames(ctfit_tx$x),main='First 2 principle components',col=samplecol)
-   }
-  }
-
-
-}
-
-genpcavar<-function(){
-  # % variance 
-  varpca=ctfit_tx$sdev^2
-  varpca=varpca/sum(varpca)*100;
-  if(length(varpca)>10){
-    varpca=varpca[1:10];
-  }
-  plot(varpca,type='b',lwd=2,pch=20,xlab='PCs',ylab='% Variance explained');
-}
-
-@
-
-%__FILE_SUMMARY__
-
-The statistics of comparisons are listed in Table 1 and Table 2.
-The corresponding fastq files in each row are listed in Table 3.
-
-<<label=tab1,echo=FALSE,results=tex>>=
-library(xtable)
-filelist=c("input_0.gz");
-labellist=c("test1_fastq_gz");
-reads=c(2500);
-mappedreads=c(1453);
-totalsgrnas=c(2550);
-zerocounts=c(1276);
-giniindex=c(0.5266899931488773);
-
-cptable=genreporttable(filelist,labellist,reads,mappedreads);
-print(xtable(cptable, caption = "Summary of comparisons", label = "tab:one",
-    digits = c(0, 0, 0, 0,2),
-    align=c('c',  'c','c',  'c', 'c'),
-    table.placement = "tbp",
-    caption.placement = "top"))
-@
-
-<<label=tab2,echo=FALSE,results=tex>>=
-library(xtable)
-cptable=genreporttable2(filelist,labellist,totalsgrnas,zerocounts,giniindex);
-print(xtable(cptable, caption = "Summary of comparisons", label = "tab:two",
-    digits = c(0, 0,0, 0,2),
-    align=c('c',  'c','c',  'c', 'c'),
-    table.placement = "tbp",
-    caption.placement = "top"))
-@
-
-
-
-
-
-<<label=tab3,echo=FALSE,results=tex>>=
-library(xtable)
-cptable=genreporttable3(filelist,labellist);
-print(xtable(cptable, caption = "Summary of samples", label = "tab:three",
-    digits = c(0,0, 0),
-    align=c('c', 'p{9cm}', 'c'),
-    table.placement = "tbp",
-    caption.placement = "top"))
-@
-
-
-
-
-The meanings of the columns are as follows.
-
-\begin{itemize}
-\item \textbf{Row}: The row number in the table;
-\item \textbf{File}: The filename of fastq file;
-\item \textbf{Label}: Assigned label;
-\item \textbf{Reads}: The total read count in the fastq file;
-\item \textbf{Mapped}: Reads that can be mapped to gRNA library;
-\item \textbf{Percentage}: The percentage of mapped reads;
-\item \textbf{TotalsgRNAs}: The number of sgRNAs in the library; 
-\item \textbf{ZeroCounts}: The number of sgRNA with 0 read counts;
-\item \textbf{GiniIndex}: The Gini Index of the read count distribution. Gini index can be used to measure the evenness of the read counts, and a smaller value means a more even distribution of the read counts.
-\end{itemize}
-
-
-
-\newpage\section{Normalized read count distribution of all samples}
-The following figure shows the distribution of median-normalized read counts in all samples.
-
-
-<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=
-genboxplot("output.count_normalized.txt");
-@
-
-The following figure shows the histogram of median-normalized read counts in all samples.
-
-
-<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=
-genhistplot("output.count_normalized.txt");
-@
-
-%__INDIVIDUAL_PAGE__
-
-
-
-\end{document}
-