Mercurial > repos > iuc > mageck_pathway

--- a/mageck_macros.xml	Sat Feb 17 10:40:59 2018 -0500
+++ b/mageck_macros.xml	Wed Apr 04 11:02:50 2018 -0400
@@ -1,27 +1,34 @@
 <?xml version="1.0"?>
 <macros>
+
     <token name="@VERSION@">0.5.7</token>
+
     <xml name="requirements">
         <requirements>
             <requirement type="package" version="@VERSION@">mageck</requirement>
-            <!-- needed for pdf report outputs -->
+            <requirement type="package" version="1.14.2">numpy</requirement>
             <requirement type="package" version="3.0.1">r-gplots</requirement>
             <requirement type="package" version="1.8_2">r-xtable</requirement>
             <yield/>
         </requirements>
     </xml>
+
     <xml name="version">
-        <version_command>mageck -v </version_command>
+        <version_command><![CDATA[
+            echo $(mageck -v )", numpy version" $([python -c "import numpy; numpy.version.version"])", gplots version" $(R --vanilla --slave -e "library(gplots); cat(sessionInfo()\$otherPkgs\$gplots\$Version)" 2> /dev/null | grep -v -i "WARNING: ")", xtable version" $(R --vanilla --slave -e "library(xtable); cat(sessionInfo()\$otherPkgs\$xtable\$Version)" 2> /dev/null | grep -v -i "WARNING: ")
+        ]]></version_command>
     </xml>
+
+    <xml name="sort_criteria">
+        <param name="sort_criteria" argument="--sort-criteria" type="select" optional="true" label="Sorting criteria">
+            <option value="neg" selected="True">Negative selection</option>
+            <option value="pos">positive selection</option>
+        </param>
+      </xml>
+
     <xml name="citations">
         <citations>
             <citation type="doi">10.1186/s13059-014-0554-4</citation>
         </citations>
     </xml>
-    <xml name="sort_criteria">
-        <param name="sort_criteria" argument="--sort-criteria" type="select" label="Sorting criteria">
-            <option value="neg" selected="True">Negative selection</option>
-            <option value="pos">positive selection</option>
-        </param>
-      </xml>
 </macros>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/in.test.sample.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -0,0 +1,1000 @@
+sgRNA	Gene	HL60_initial	KBM7_initial	HL60_final	KBM7_final
+A1CF_m52595977	A1CF	213	274	883	175
+A1CF_m52596017	A1CF	294	412	1554	1891
+A1CF_m52596056	A1CF	421	368	566	759
+A1CF_m52603842	A1CF	274	243	314	855
+A1CF_m52603847	A1CF	0	50	145	266
+A1CF_p52595870	A1CF	623	583	1503	1117
+A1CF_p52595881	A1CF	486	378	1775	1585
+A1CF_p52596023	A1CF	195	429	783	774
+A1CF_p52601638	A1CF	744	459	1233	2407
+A1CF_p52603829	A1CF	76	142	332	471
+AAAS_m53714382	AAAS	704	671	799	1426
+AAAS_m53715169	AAAS	651	627	797	1690
+AAAS_m53715176	AAAS	545	89	392	664
+AAAS_m53715212	AAAS	254	340	429	742
+AAAS_m53715238	AAAS	32	135	421	77
+AAAS_p53714367	AAAS	323	328	652	469
+AAAS_p53714374	AAAS	293	261	856	968
+AAAS_p53714391	AAAS	283	399	954	940
+AAAS_p53714405	AAAS	1119	856	2212	2715
+AAAS_p53714441	AAAS	273	327	1093	829
+AAK1_m69870049	AAK1	364	465	693	2006
+AAK1_m69870056	AAK1	635	707	2234	3515
+AAK1_m69870103	AAK1	485	452	914	629
+AAK1_m69870119	AAK1	405	275	806	837
+AAK1_m69870125	AAK1	274	350	1822	2101
+AAK1_m69870131	AAK1	754	763	1411	2637
+AAK1_m69870137	AAK1	905	294	512	798
+AAK1_p69870063	AAK1	330	167	364	1139
+AAK1_p69870070	AAK1	991	718	1790	1682
+AAK1_p69870105	AAK1	190	163	922	1118
+AATF_m35306444	AATF	449	456	1396	1402
+AATF_m35306475	AATF	493	612	1102	537
+AATF_m35306482	AATF	569	726	743	311
+AATF_m35306509	AATF	250	322	476	204
+AATF_m35307516	AATF	353	356	995	540
+AATF_m35307525	AATF	276	146	514	291
+AATF_p35306410	AATF	1426	1104	2494	1101
+AATF_p35306466	AATF	189	245	289	0
+AATF_p35307505	AATF	677	269	1154	481
+AATF_p35307527	AATF	1487	835	2761	3255
+AATK_m79102275	AATK	621	435	4568	1109
+AATK_m79102281	AATK	465	460	1736	2651
+AATK_m79102298	AATK	726	798	2538	2676
+AATK_m79102320	AATK	1003	655	1932	3223
+AATK_m79102325	AATK	633	722	1874	2030
+AATK_p79102286	AATK	1284	562	1844	1624
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+ACAT2_m160183968	ACAT2	1236	1603	2875	3082
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+ACTL6B_p100253037	ACTL6B	949	460	1018	2309
+ACTL6B_p100253066	ACTL6B	669	576	889	767
+ACTL6B_p100253094	ACTL6B	643	793	2197	1129
+ACTL6B_p100253446	ACTL6B	823	466	1720	826
+ACTL7A_m111624641	ACTL7A	1314	876	2510	3213
+ACTL7A_m111624669	ACTL7A	377	215	956	842
+ACTL7A_m111624684	ACTL7A	363	196	962	1151
+ACTL7A_m111624726	ACTL7A	276	171	661	450
+ACTL7A_m111624736	ACTL7A	594	467	578	763
+ACTL7A_p111624607	ACTL7A	236	403	885	1854
+ACTL7A_p111624631	ACTL7A	449	404	599	568
+ACTL7A_p111624686	ACTL7A	232	67	168	519
+ACTL7A_p111624691	ACTL7A	228	280	953	1363
+ACTL7A_p111624699	ACTL7A	826	437	1417	950
+ACTN1_m69392359	ACTN1	371	199	1423	1037
+ACTN1_m69392382	ACTN1	466	515	1342	2479
+ACTN1_m69445694	ACTN1	212	355	816	193
+ACTN1_m69445700	ACTN1	476	322	1643	1666
+ACTN1_m69445718	ACTN1	739	356	1746	1278
+ACTN1_m69445724	ACTN1	1001	742	2437	2097
+ACTN1_p69392370	ACTN1	1446	919	3111	3490
+ACTN1_p69445679	ACTN1	175	74	381	334
+ACTN1_p69445708	ACTN1	122	142	395	420
+ACTN1_p69445745	ACTN1	591	419	1213	1105
+ACTN4_m39138399	ACTN4	540	400	1210	1730
+ACTN4_m39138430	ACTN4	111	149	596	620
+ACTN4_m39138527	ACTN4	146	90	398	67
+ACTN4_p39138381	ACTN4	447	358	1075	1450
+ACTN4_p39138403	ACTN4	570	837	1744	2822
+ACTN4_p39138433	ACTN4	590	473	1627	1689
+ACTN4_p39138459	ACTN4	1072	1136	1897	2800
+ACTN4_p39138465	ACTN4	1160	610	1726	2233
+ACTN4_p39138476	ACTN4	306	268	1675	1709
+ACTN4_p39138482	ACTN4	927	566	2530	2890
+ACTR1A_m104248862	ACTR1A	719	1214	2213	2147
+ACTR1A_m104250350	ACTR1A	284	126	189	193
+ACTR1A_m104250365	ACTR1A	274	91	1128	1252
+ACTR1A_p104248833	ACTR1A	547	420	1032	1967
+ACTR1A_p104248866	ACTR1A	664	375	741	301
+ACTR1A_p104250290	ACTR1A	412	416	3242	1959
+ACTR1A_p104250304	ACTR1A	445	586	1731	2020
+ACTR1A_p104262351	ACTR1A	662	619	1218	4097
+ACTR1A_p104262374	ACTR1A	910	407	1189	1732
+ACTR1A_p104262383	ACTR1A	844	471	342	627
+ACTR3_m114684932	ACTR3	697	767	1401	693
+ACTR3_m114688941	ACTR3	781	589	1286	326
+ACTR3_p114674498	ACTR3	896	664	2125	1851
+ACTR3_p114684915	ACTR3	609	464	1110	998
+ACTR3_p114684941	ACTR3	648	616	1964	2548
+ACTR3_p114684946	ACTR3	524	309	1193	643
+ACTR3_p114684953	ACTR3	58	358	287	1091
+ACTR3_p114688931	ACTR3	491	433	927	1553
+ACTR3_p114691883	ACTR3	369	437	663	816
+ACTR3_p114691894	ACTR3	1477	1267	2229	2034
+ACTR5_m37377141	ACTR5	589	527	2529	2963
+ACTR5_m37377155	ACTR5	65	208	659	363
+ACTR5_m37377161	ACTR5	233	309	842	355
+ACTR5_m37377171	ACTR5	298	250	764	685
+ACTR5_m37377189	ACTR5	462	436	2502	1189
+ACTR5_p37377163	ACTR5	362	463	1571	789
+ACTR5_p37377178	ACTR5	258	374	1370	888
+ACTR5_p37377198	ACTR5	254	270	673	1140
+ACTR5_p37377204	ACTR5	198	172	570	543
+ACTR5_p37377211	ACTR5	695	416	755	492
+ACTR8_m53916047	ACTR8	1690	1323	3444	1592
+ACTR8_m53916057	ACTR8	675	566	1179	350
+ACTR8_m53916067	ACTR8	862	651	398	74
+ACTR8_m53916073	ACTR8	1021	741	1269	2580
+ACTR8_m53916081	ACTR8	1310	1157	309	411
+ACTR8_m53916091	ACTR8	239	440	361	1091
+ACTR8_m53916096	ACTR8	1170	567	565	388
+ACTR8_m53916103	ACTR8	615	814	2350	1844
+ACTR8_m53916111	ACTR8	443	609	913	1874
+ACTR8_m53916121	ACTR8	194	230	157	78
+ACTRT3_m169487192	ACTRT3	347	97	346	310
+ACTRT3_m169487204	ACTRT3	257	156	950	1253
+ACTRT3_m169487242	ACTRT3	1477	907	1672	2552
+ACTRT3_m169487247	ACTRT3	294	470	457	812
+ACTRT3_m169487252	ACTRT3	193	481	553	1045
+ACTRT3_m169487267	ACTRT3	432	381	1343	1621
+ACTRT3_m169487273	ACTRT3	549	406	282	1198
+ACTRT3_m169487289	ACTRT3	760	300	752	681
+ACTRT3_p169487206	ACTRT3	24	229	715	1043
+ACTRT3_p169487280	ACTRT3	1000	564	2005	1704
+ACVR1B_m52369170	ACVR1B	280	468	1538	2861
+ACVR1B_m52369187	ACVR1B	707	652	1605	1647
+ACVR1B_m52369192	ACVR1B	430	268	2364	748
+ACVR1B_m52369211	ACVR1B	1029	754	1684	2786
+ACVR1B_m52369226	ACVR1B	35	205	515	205
+ACVR1B_m52369237	ACVR1B	1002	865	1931	1920
+ACVR1B_p52369196	ACVR1B	276	160	275	415
+ACVR1B_p52369243	ACVR1B	471	422	963	783
+ACVR1B_p52369255	ACVR1B	114	94	70	263
+ACVR1B_p52369266	ACVR1B	796	679	2414	2199
+ACVR1C_m158401016	ACVR1C	305	258	723	1114
+ACVR1C_m158401030	ACVR1C	748	808	2126	3206
+ACVR1C_m158401075	ACVR1C	193	176	471	1063
+ACVR1C_m158401097	ACVR1C	654	444	1557	1665
+ACVR1C_m158401113	ACVR1C	224	185	486	717
+ACVR1C_m158443700	ACVR1C	675	359	1390	2446
+ACVR1C_m158443841	ACVR1C	323	290	1419	1520
+ACVR1C_p158443781	ACVR1C	335	259	1156	1715
+ACVR1C_p158443786	ACVR1C	959	517	2009	2015
+ACVR1C_p158443795	ACVR1C	1008	588	2106	2524
+ACVR1_m158637033	ACVR1	652	426	2567	2204
+ACVR1_m158637046	ACVR1	485	382	2055	1724
+ACVR1_m158637054	ACVR1	198	488	904	680
+ACVR1_m158637066	ACVR1	483	371	1070	1150
+ACVR1_m158655997	ACVR1	918	1304	2692	3010
+ACVR1_p158637019	ACVR1	455	605	1145	1331
+ACVR1_p158637035	ACVR1	1370	776	2676	3298
+ACVR1_p158637068	ACVR1	469	810	2288	2807
+ACVR1_p158655928	ACVR1	196	173	851	587
+ACVR1_p158655958	ACVR1	279	203	1070	569
+ACVR2A_m148602752	ACVR2A	955	561	1182	1126
+ACVR2A_m148602767	ACVR2A	1084	799	1782	3155
+ACVR2A_m148653941	ACVR2A	396	368	746	2145
+ACVR2A_m148653961	ACVR2A	587	243	1032	954
+ACVR2A_p148602720	ACVR2A	961	403	2354	3163
+ACVR2A_p148602754	ACVR2A	350	142	731	943
+ACVR2A_p148653859	ACVR2A	169	350	959	1370
+ACVR2A_p148653946	ACVR2A	648	263	1457	2080
+ACVR2A_p148653965	ACVR2A	390	95	190	583
+ACVR2A_p148653997	ACVR2A	1091	1020	2469	2845
+ACVR2B_m38495825	ACVR2B	1404	1332	3150	2677
+ACVR2B_m38518828	ACVR2B	275	617	2219	2134
+ACVR2B_m38518849	ACVR2B	440	415	1134	662
+ACVR2B_p38495805	ACVR2B	547	437	872	1040
+ACVR2B_p38495827	ACVR2B	789	618	1598	2756
+ACVR2B_p38518810	ACVR2B	780	728	2390	2354
+ACVR2B_p38518817	ACVR2B	861	991	2617	3970
+ACVR2B_p38518836	ACVR2B	997	438	1180	1663
+ACVR2B_p38518841	ACVR2B	400	279	1162	1254
+ACVR2B_p38518854	ACVR2B	1460	918	2715	3235
+ACVRL1_m52306276	ACVRL1	627	496	2249	2456
+ACVRL1_m52306307	ACVRL1	557	550	1651	1462
+ACVRL1_m52306881	ACVRL1	1133	621	2525	2059
+ACVRL1_m52306910	ACVRL1	868	640	2322	2264
+ACVRL1_m52306921	ACVRL1	504	296	2326	958
+ACVRL1_p52306245	ACVRL1	569	548	1736	2092
+ACVRL1_p52306281	ACVRL1	813	505	2675	2225
+ACVRL1_p52306287	ACVRL1	1148	859	2205	3686
+ACVRL1_p52306296	ACVRL1	906	633	1150	1272
+ACVRL1_p52306883	ACVRL1	1056	636	1842	2022
+ADAD1_m123301295	ADAD1	405	500	1518	1011
+ADAD1_m123301308	ADAD1	531	425	878	2224
+ADAD1_m123301332	ADAD1	711	630	1699	1668
+ADAD1_m123301345	ADAD1	350	264	1162	654
+ADAD1_m123301366	ADAD1	358	314	1423	1337
+ADAD1_p123301314	ADAD1	991	793	2078	2170
+ADAD1_p123301335	ADAD1	538	230	595	508
+ADAD1_p123301349	ADAD1	651	161	802	1162
+ADAD1_p123301358	ADAD1	1190	1074	3236	4172
+ADAD1_p123301373	ADAD1	628	471	1456	1346
+ADAM10_m58974490	ADAM10	417	394	676	702
+ADAM10_m59009777	ADAM10	367	575	1729	1785
+ADAM10_m59009866	ADAM10	415	353	538	1216
+ADAM10_m59009883	ADAM10	815	1060	2685	3758
+ADAM10_m59041689	ADAM10	61	56	79	309
+ADAM10_m59041696	ADAM10	340	258	649	592
+ADAM10_p58974401	ADAM10	659	487	936	448
+ADAM10_p58974481	ADAM10	911	649	2327	2141
+ADAM10_p59009761	ADAM10	246	134	293	508
+ADAM10_p59009767	ADAM10	603	423	1536	912
+ADAM12_m128018982	ADAM12	438	199	661	612
+ADAM12_m128019019	ADAM12	753	735	1714	1670
+ADAM12_m128019025	ADAM12	381	485	1516	1073
+ADAM12_m128076635	ADAM12	242	399	825	1111
+ADAM12_m128076658	ADAM12	523	432	2270	2731
+ADAM12_p128018991	ADAM12	35	39	132	389
+ADAM12_p128019039	ADAM12	1241	459	1049	1058
+ADAM12_p128076618	ADAM12	82	131	305	410
+ADAM12_p128076641	ADAM12	768	751	2339	3211
+ADAM12_p128076650	ADAM12	530	365	673	1328
+ADAMTS5_m28338537	ADAMTS5	668	722	1079	2252
+ADAMTS5_m28338697	ADAMTS5	727	422	859	1530
+ADAMTS5_m28338702	ADAMTS5	410	280	994	1053
+ADAMTS5_p28338524	ADAMTS5	614	586	1600	1039
+ADAMTS5_p28338585	ADAMTS5	662	529	853	1072
+ADAMTS5_p28338596	ADAMTS5	572	322	592	1002
+ADAMTS5_p28338607	ADAMTS5	758	530	2009	1206
+ADAMTS5_p28338612	ADAMTS5	78	166	278	479
+ADAMTS5_p28338620	ADAMTS5	272	118	566	822
+ADAMTS5_p28338667	ADAMTS5	759	520	1914	3378
+ADAP1_m975089	ADAP1	321	356	830	1158
+ADAP1_m975116	ADAP1	399	189	602	758
+ADAP1_m975132	ADAP1	651	530	1919	1445
+ADAP1_m994042	ADAP1	199	208	720	1240
+ADAP1_m994066	ADAP1	114	38	324	622
+ADAP1_m994071	ADAP1	781	405	416	603
+ADAP1_m994091	ADAP1	598	686	569	1671
+ADAP1_m994101	ADAP1	781	449	1441	1951
+ADAP1_m994106	ADAP1	300	372	1070	872
+ADAP1_p975103	ADAP1	619	400	837	2124
+ADARB1_m46591572	ADARB1	140	105	358	629
+ADARB1_m46595675	ADARB1	387	265	1117	697
+ADARB1_m46595697	ADARB1	485	319	952	1089
+ADARB1_m46595715	ADARB1	510	213	749	1177
+ADARB1_m46595721	ADARB1	156	414	1880	1598
+ADARB1_m46595779	ADARB1	453	98	304	253
+ADARB1_p46595645	ADARB1	738	566	2401	2617
+ADARB1_p46595700	ADARB1	503	515	1573	1321
+ADARB1_p46595705	ADARB1	1352	1069	2843	4330
+ADARB1_p46595724	ADARB1	234	73	485	397
+ADARB2_m1779246	ADARB2	1268	893	2792	2559
+ADARB2_m1779251	ADARB2	505	337	1496	1434
+ADARB2_m1779266	ADARB2	1067	1173	2870	3299
+ADARB2_m1779272	ADARB2	693	289	1077	1441
+ADARB2_m1779308	ADARB2	776	671	1395	1709
+ADARB2_m1779330	ADARB2	92	67	557	699
+ADARB2_m1779337	ADARB2	453	395	1564	1305
+ADARB2_p1421307	ADARB2	285	169	597	1128
+ADARB2_p1421336	ADARB2	382	306	1398	1015
+ADARB2_p1779233	ADARB2	301	129	627	1138
+ADAR_m154574098	ADAR	1070	579	1931	1523
+ADAR_m154574103	ADAR	90	75	441	1151
+ADAR_m154574108	ADAR	1085	615	2361	1748
+ADAR_m154574165	ADAR	458	292	865	1012
+ADAR_m154574219	ADAR	432	715	2566	1758
+ADAR_p154574043	ADAR	521	589	1702	1435
+ADAR_p154574114	ADAR	68	110	61	35
+ADAR_p154574121	ADAR	0	5	0	0
+ADAR_p154574126	ADAR	233	227	372	594
+ADAR_p154574157	ADAR	701	294	1072	1160
+ADCK1_m78285328	ADCK1	451	568	1746	2962
+ADCK1_m78285358	ADCK1	1053	1107	2964	4114
+ADCK1_m78285376	ADCK1	993	664	2055	2136
+ADCK1_m78285413	ADCK1	812	763	2571	3331
+ADCK1_p78285311	ADCK1	591	395	1142	1055
+ADCK1_p78285331	ADCK1	543	433	2344	3069
+ADCK1_p78285341	ADCK1	795	511	1394	1709
+ADCK1_p78285386	ADCK1	551	387	1076	1513
+ADCK1_p78285402	ADCK1	848	424	2063	2210
+ADCK1_p78285416	ADCK1	562	449	1550	3612
+ADCK2_m140373155	ADCK2	53	55	158	371
+ADCK2_m140373168	ADCK2	469	309	710	1295
+ADCK2_m140373177	ADCK2	396	453	1181	747
+ADCK2_m140373210	ADCK2	587	354	2377	1644
+ADCK2_m140373220	ADCK2	235	328	1346	846
+ADCK2_m140373231	ADCK2	894	647	1868	2104
+ADCK2_p140373122	ADCK2	394	525	1206	1142
+ADCK2_p140373137	ADCK2	132	30	193	44
+ADCK2_p140373158	ADCK2	570	537	1365	1700
+ADCK2_p140373194	ADCK2	854	572	2422	1834
+ADCK3_m227149096	ADCK3	184	234	688	919
+ADCK3_m227149144	ADCK3	179	95	300	405
+ADCK3_m227149153	ADCK3	844	1373	2964	3638
+ADCK3_m227149163	ADCK3	759	599	2130	3197
+ADCK3_p227149079	ADCK3	1573	613	2063	2888
+ADCK3_p227149104	ADCK3	1108	940	3375	3744
+ADCK3_p227149124	ADCK3	822	569	1637	1858
+ADCK3_p227149133	ADCK3	493	365	1114	1747
+ADCK3_p227149155	ADCK3	1548	1255	4648	5233
+ADCK3_p227149165	ADCK3	380	472	1686	2046
+ADCK4_m41220243	ADCK4	565	487	2139	1295
+ADCK4_m41220249	ADCK4	1008	1123	3240	3165
+ADCK4_m41220284	ADCK4	840	732	2152	3902
+ADCK4_m41220291	ADCK4	153	106	1110	142
+ADCK4_m41220465	ADCK4	553	476	1500	1747
+ADCK4_m41220474	ADCK4	1346	986	4215	4983
+ADCK4_m41220523	ADCK4	385	437	1392	779
+ADCK4_p41220276	ADCK4	463	301	873	1793
+ADCK4_p41220422	ADCK4	110	188	436	813
+ADCK4_p41220480	ADCK4	1717	1377	3413	2651
+ADCK5_m145603095	ADCK5	617	573	1345	2054
+ADCK5_m145603137	ADCK5	813	610	1046	1919
+ADCK5_m145603170	ADCK5	584	452	1694	958
+ADCK5_m145608301	ADCK5	715	396	2393	2309
+ADCK5_m145608343	ADCK5	637	445	2314	2374
+ADCK5_p145597774	ADCK5	392	305	1063	531
+ADCK5_p145603106	ADCK5	1009	755	3670	2825
+ADCK5_p145603142	ADCK5	871	833	2002	2685
+ADCK5_p145608305	ADCK5	256	349	597	165
+ADCK5_p145608311	ADCK5	409	418	1942	1575
+ADCY1_m45614206	ADCY1	122	176	649	351
+ADCY1_m45614243	ADCY1	688	682	769	1474
+ADCY1_m45614270	ADCY1	454	346	861	1526
+ADCY1_m45614323	ADCY1	483	514	1591	2080
+ADCY1_p45614127	ADCY1	1174	1279	2832	2521
+ADCY1_p45614255	ADCY1	307	465	1300	901
+ADCY1_p45614284	ADCY1	296	284	589	810
+ADCY1_p45614294	ADCY1	102	176	456	419
+ADCY1_p45614309	ADCY1	265	110	279	66
+ADCY1_p45614315	ADCY1	2	41	334	327
+ADD1_m2877698	ADD1	325	227	747	430
+ADD1_m2877722	ADD1	326	204	806	817
+ADD1_m2877771	ADD1	361	456	1293	1306
+ADD1_m2877776	ADD1	385	247	855	962
+ADD1_p2877627	ADD1	161	175	797	1406
+ADD1_p2877644	ADD1	558	574	1946	1334
+ADD1_p2877730	ADD1	132	14	378	366
+ADD1_p2877736	ADD1	751	456	1220	969
+ADD1_p2877743	ADD1	390	787	1155	1591
+ADD1_p2877761	ADD1	960	365	1696	1882
+ADD3_m111860427	ADD3	193	292	1082	1216
+ADD3_m111860445	ADD3	862	391	1646	934
+ADD3_m111860450	ADD3	1087	846	2617	3137
+ADD3_m111860456	ADD3	1010	495	2002	1201
+ADD3_m111860540	ADD3	794	741	2167	1575
+ADD3_p111860411	ADD3	404	470	829	1630
+ADD3_p111860500	ADD3	351	591	1798	1978
+ADD3_p111860505	ADD3	665	476	984	1023
+ADD3_p111860545	ADD3	940	681	1977	2029
+ADD3_p111860553	ADD3	1280	776	2512	1755
+ADH5_m100003154	ADH5	381	424	416	798
+ADH5_m100003254	ADH5	802	700	1376	1879
+ADH5_m100006267	ADH5	911	907	3313	3502
+ADH5_m100006354	ADH5	971	652	2604	2435
+ADH5_m100009841	ADH5	1322	1273	3324	3483
+ADH5_p100002504	ADH5	455	404	1225	1641
+ADH5_p100002510	ADH5	302	136	716	1270
+ADH5_p100002584	ADH5	1479	666	2178	2515
+ADH5_p100003219	ADH5	215	330	71	223
+ADH5_p100003224	ADH5	378	204	542	1124
+ADH7_m100349694	ADH7	552	581	1627	1566
+ADH7_m100350690	ADH7	116	403	581	668
+ADH7_m100350735	ADH7	553	374	1228	793
+ADH7_m100350762	ADH7	1263	889	2255	2111
+ADH7_p100349698	ADH7	740	477	1576	2712
+ADH7_p100349706	ADH7	316	222	272	956
+ADH7_p100349757	ADH7	412	324	814	1257
+ADH7_p100350692	ADH7	398	255	649	1596
+ADH7_p100350718	ADH7	117	181	363	114
+ADH7_p100350724	ADH7	233	217	712	560
+ADI1_m3517677	ADI1	282	275	359	706
+ADI1_m3523156	ADI1	523	407	1020	1658
+ADI1_m3523162	ADI1	403	400	575	1011
+ADI1_m3523239	ADI1	394	178	644	1113
+ADI1_m3523246	ADI1	545	375	1984	1698
+ADI1_m3523251	ADI1	1062	1025	3383	3536
+ADI1_p3517642	ADI1	178	225	644	1989
+ADI1_p3517660	ADI1	667	470	1496	1344
+ADI1_p3523164	ADI1	762	685	1012	1748
+ADI1_p3523171	ADI1	433	88	894	437
+ADIRF_m88728302	ADIRF	335	125	491	180
+ADIRF_m88728350	ADIRF	166	135	207	305
+ADIRF_m88729968	ADIRF	500	379	984	823
+ADIRF_p88728292	ADIRF	731	535	1745	1300
+ADIRF_p88728315	ADIRF	478	569	2047	1778
+ADIRF_p88728321	ADIRF	1121	428	1087	1063
+ADIRF_p88729942	ADIRF	647	487	962	1344
+ADIRF_p88729951	ADIRF	296	245	437	594
+ADIRF_p88729975	ADIRF	61	118	331	532
+ADIRF_p88729984	ADIRF	904	885	1780	2371
+ADK_m75960552	ADK	1002	1030	2002	2299
+ADK_m75960590	ADK	142	37	463	612
+ADK_m76153995	ADK	688	657	1035	1504
+ADK_m76154033	ADK	379	386	1387	1782
+ADK_p75960554	ADK	247	465	1168	611
+ADK_p76074446	ADK	1024	254	1036	1732
+ADK_p76074475	ADK	135	16	396	200
+ADK_p76074481	ADK	298	42	404	404
+ADK_p76153940	ADK	547	266	2118	2103
+ADK_p76154015	ADK	309	276	1421	1198
+ADNP2_m77891006	ADNP2	0	0	25	295
+ADNP2_p77875445	ADNP2	446	349	891	1167
+ADNP2_p77875475	ADNP2	169	60	454	806
+ADNP2_p77875482	ADNP2	382	220	761	1355
+ADNP2_p77875499	ADNP2	507	346	719	1609
+ADNP2_p77875511	ADNP2	880	734	1596	2475
+ADNP2_p77890985	ADNP2	528	721	1784	2201
+ADNP2_p77891013	ADNP2	505	342	833	1052
+ADNP2_p77891042	ADNP2	162	131	662	956
+ADNP2_p77891053	ADNP2	241	181	536	504
+ADNP_m49511043	ADNP	278	295	767	1226
+ADNP_m49518579	ADNP	1228	808	2714	3762
+ADNP_m49518587	ADNP	2053	1488	2908	6245
+ADNP_m49520451	ADNP	1122	441	1226	2328
+ADNP_m49520507	ADNP	653	787	2266	4913
+ADNP_p49510837	ADNP	337	170	534	970
+ADNP_p49510899	ADNP	1015	750	3309	3466
+ADNP_p49510949	ADNP	292	501	900	1980
+ADNP_p49511011	ADNP	291	323	1039	1572
+ADNP_p49520498	ADNP	470	432	1649	1736
+ADPRHL2_m36554512	ADPRHL2	337	456	1255	1717
+ADPRHL2_m36554557	ADPRHL2	1087	589	1204	1823
+ADPRHL2_m36554563	ADPRHL2	823	237	1247	1066
+ADPRHL2_m36554576	ADPRHL2	748	628	2075	2502
+ADPRHL2_m36554620	ADPRHL2	239	168	388	130
+ADPRHL2_p36554501	ADPRHL2	407	391	1071	1610
+ADPRHL2_p36554520	ADPRHL2	750	594	2176	1591
+ADPRHL2_p36554568	ADPRHL2	335	447	881	1510
+ADPRHL2_p36554580	ADPRHL2	578	527	1481	1293
+ADPRHL2_p36554606	ADPRHL2	175	138	84	355
+ADRA1A_m26722399	ADRA1A	110	130	597	857
+ADRA1A_m26722428	ADRA1A	0	0	108	322
+ADRA1A_m26722434	ADRA1A	716	734	1561	1900
+ADRA1A_m26722473	ADRA1A	552	327	1172	1094
+ADRA1A_p26722329	ADRA1A	1069	820	2273	2416
+ADRA1A_p26722406	ADRA1A	227	314	1002	1190
+ADRA1A_p26722412	ADRA1A	689	554	1599	1443
+ADRA1A_p26722419	ADRA1A	386	286	793	647
+ADRA1A_p26722438	ADRA1A	744	526	1152	1461
+ADRA1A_p26722465	ADRA1A	378	280	1518	394
+ADRA1B_m159343921	ADRA1B	46	138	311	193
+ADRA1B_m159343926	ADRA1B	358	462	1834	1238
+ADRA1B_m159343934	ADRA1B	509	676	1632	1313
+ADRA1B_m159343996	ADRA1B	509	295	1458	1358
+ADRA1B_m159344001	ADRA1B	224	174	1398	1182
+ADRA1B_m159344006	ADRA1B	341	125	345	760
+ADRA1B_m159344028	ADRA1B	731	297	1475	1304
+ADRA1B_p159343905	ADRA1B	279	165	70	585
+ADRA1B_p159343912	ADRA1B	782	825	1522	1899
+ADRA1B_p159343940	ADRA1B	731	705	2012	2117
+ADRB1_m115803922	ADRB1	157	126	616	620
+ADRB1_m115803930	ADRB1	300	124	716	632
+ADRB1_m115803938	ADRB1	588	662	1530	2374
+ADRB1_m115803996	ADRB1	439	290	1119	700
+ADRB1_m115804005	ADRB1	916	892	1255	1108
+ADRB1_m115804012	ADRB1	1474	1094	1733	1233
+ADRB1_m115804041	ADRB1	282	646	958	1752
+ADRB1_m115804047	ADRB1	434	307	611	563
+ADRB1_p115803878	ADRB1	298	647	2027	1533
+ADRB1_p115803909	ADRB1	393	357	1120	1694
+ADRB2_m148206406	ADRB2	564	485	1573	1390
+ADRB2_m148206447	ADRB2	562	463	1395	1143
+ADRB2_p148206408	ADRB2	731	425	2455	1785
+ADRB2_p148206418	ADRB2	302	232	732	632
+ADRB2_p148206432	ADRB2	318	630	939	939
+ADRB2_p148206450	ADRB2	414	494	1514	932
+ADRB2_p148206455	ADRB2	3368	2002	6329	7676
+ADRB2_p148206462	ADRB2	920	529	1751	2621
+ADRB2_p148206467	ADRB2	518	521	1030	1397
+ADRB2_p148206474	ADRB2	101	249	664	626
+ADRB3_m37823829	ADRB3	214	158	1095	887
+ADRB3_m37823842	ADRB3	97	0	0	242
+ADRB3_m37823867	ADRB3	171	134	398	767
+ADRB3_m37823894	ADRB3	827	1050	3426	3963
+ADRB3_p37823813	ADRB3	862	396	837	792
+ADRB3_p37823900	ADRB3	123	135	443	359
+ADRB3_p37823908	ADRB3	321	225	1162	1331
+ADRB3_p37823913	ADRB3	309	215	833	744
+ADRB3_p37823952	ADRB3	839	821	2409	2329
+ADRB3_p37823958	ADRB3	1511	550	2208	2013
+ADRBK1_m67034181	ADRBK1	253	494	3797	2735
+ADRBK1_m67034219	ADRBK1	755	641	1538	1746
+ADRBK1_m67034242	ADRBK1	995	681	2437	2655
+ADRBK1_m67034255	ADRBK1	399	556	1179	2293
+ADRBK1_p67034160	ADRBK1	693	404	1697	2000
+ADRBK1_p67034166	ADRBK1	864	683	2522	2840
+ADRBK1_p67034172	ADRBK1	899	1011	2344	2162
+ADRBK1_p67034193	ADRBK1	618	469	2599	2217
+ADRBK1_p67034199	ADRBK1	628	427	2345	2230
+ADRBK1_p67034261	ADRBK1	463	357	505	1103
+ADRBK2_m25961078	ADRBK2	215	236	789	926
+ADRBK2_m25961092	ADRBK2	1140	544	2086	3062
+ADRBK2_m25961108	ADRBK2	702	221	1434	1217
+ADRBK2_m26000349	ADRBK2	179	217	917	455
+ADRBK2_m26000370	ADRBK2	484	243	906	740
+ADRBK2_m26057580	ADRBK2	415	459	1917	1560
+ADRBK2_p25960997	ADRBK2	892	242	1961	1439
+ADRBK2_p25961098	ADRBK2	1384	463	1717	1821
+ADRBK2_p26040592	ADRBK2	290	342	410	1075
+ADRBK2_p26057601	ADRBK2	991	947	2744	3634
+ADRM1_m60878634	ADRM1	279	370	690	623
+ADRM1_m60878651	ADRM1	501	373	891	915
+ADRM1_m60878679	ADRM1	1078	907	2696	2532
+ADRM1_p60878615	ADRM1	325	474	280	783
+ADRM1_p60878642	ADRM1	64	70	112	789
+ADRM1_p60878671	ADRM1	286	76	488	546
+ADRM1_p60878682	ADRM1	688	402	1256	1923
+ADRM1_p60878687	ADRM1	138	180	680	90
+ADRM1_p60878704	ADRM1	186	378	576	565
+ADRM1_p60878730	ADRM1	423	358	622	1086
+AEBP1_m44144289	AEBP1	1334	1186	2582	3782
+AEBP1_m44144302	AEBP1	402	478	786	1505
+AEBP1_m44144319	AEBP1	675	505	775	1012
+AEBP1_m44144326	AEBP1	782	647	2562	2633
+AEBP1_m44144338	AEBP1	395	198	1099	513
+AEBP1_m44144355	AEBP1	357	1109	1602	1473
+AEBP1_p44144293	AEBP1	613	649	1571	2284
+AEBP1_p44144306	AEBP1	661	532	1463	891
+AEBP1_p44144347	AEBP1	707	560	1087	1375
+AEBP1_p44144359	AEBP1	524	496	916	1847
+AEBP2_m19615484	AEBP2	71	218	511	716
+AEBP2_m19615553	AEBP2	933	301	1372	1392
+AEBP2_m19615572	AEBP2	696	264	1156	1354
+AEBP2_m19615578	AEBP2	237	378	1301	1044
+AEBP2_p19615440	AEBP2	701	615	1392	1934
+AEBP2_p19615465	AEBP2	175	242	252	143
+AEBP2_p19615492	AEBP2	497	218	640	1437
+AEBP2_p19615498	AEBP2	637	511	990	1441
+AEBP2_p19615544	AEBP2	507	423	1167	1352
+AEBP2_p19615557	AEBP2	808	484	2226	1828
+AEN_m89169460	AEN	1093	875	2182	1989
+AEN_m89169478	AEN	940	749	2392	572
+AEN_m89169484	AEN	903	509	1547	1436
+AEN_m89169489	AEN	64	0	278	214
+AEN_m89169495	AEN	451	335	1322	685
+AEN_m89169500	AEN	462	320	1175	861
+AEN_m89169507	AEN	386	415	528	1381
+AEN_m89169544	AEN	365	387	800	689
+AEN_p89169516	AEN	983	602	2722	1738
+AEN_p89169534	AEN	701	600	2356	790
+AES_m3056311	AES	515	347	1414	2030
+AES_m3056337	AES	563	690	1812	2204
+AES_m3057678	AES	591	446	1183	1776
+AES_m3057717	AES	680	578	1487	2171
+AES_m3061159	AES	385	371	1586	1251
+AES_m3061215	AES	356	510	1912	1476
+AES_p3056318	AES	734	371	1264	1467
+AES_p3061179	AES	183	175	179	695
+AES_p3061186	AES	162	150	269	806
+AES_p3061195	AES	367	200	1323	339
+AFAP1L2_m116092987	AFAP1L2	598	262	1008	1705
+AFAP1L2_m116093045	AFAP1L2	482	477	1193	1342
+AFAP1L2_m116100394	AFAP1L2	453	557	1363	906
+AFAP1L2_m116100466	AFAP1L2	311	244	775	934
+AFAP1L2_p116092995	AFAP1L2	941	487	1418	1489
+AFAP1L2_p116100376	AFAP1L2	150	289	593	940
+AFAP1L2_p116100409	AFAP1L2	915	638	3685	2371
+AFAP1L2_p116100418	AFAP1L2	264	204	1090	1162
+AFAP1L2_p116100433	AFAP1L2	227	167	549	378
+AFAP1L2_p116164194	AFAP1L2	402	206	961	965
+AFF1_m87967374	AFF1	175	108	270	664
+AFF1_m87967382	AFF1	253	196	229	920
+AFF1_m87967432	AFF1	118	339	234	376
+AFF1_m87967920	AFF1	511	918	1733	1106
+AFF1_m87967978	AFF1	374	206	595	1219
+AFF1_p87967338	AFF1	422	361	1309	2027
+AFF1_p87967353	AFF1	1215	822	1522	2879
+AFF1_p87967869	AFF1	489	702	1911	1568
+AFF1_p87967890	AFF1	561	567	835	2301
+AFF1_p87967926	AFF1	539	580	2082	1397
+AFF2_m147891407	AFF2	242	211	431	1053
+AFF2_m147891412	AFF2	527	282	1329	1264
+AFF2_m147891420	AFF2	344	69	183	320
+AFF2_m147924509	AFF2	83	46	50	201
+AFF2_m147924918	AFF2	584	640	1261	4264
+AFF2_m147924923	AFF2	409	185	588	318
+AFF2_m147967463	AFF2	411	513	1474	1929
+AFF2_m147967470	AFF2	607	720	1417	2796
+AFF2_p147891422	AFF2	83	353	593	530
+AFF2_p147967406	AFF2	710	592	2176	2168
+AFF3_m100623802	AFF3	426	108	207	324
+AFF3_m100623914	AFF3	165	122	178	388
+AFF3_m100625275	AFF3	355	134	962	902
+AFF3_m100625319	AFF3	505	440	1515	1741
+AFF3_m100625326	AFF3	318	254	825	1101
+AFF3_m100625363	AFF3	789	429	801	533
+AFF3_p100623773	AFF3	1294	1028	2494	1487
+AFF3_p100623814	AFF3	646	605	968	2285
+AFF3_p100623867	AFF3	637	316	1053	1051
+AFF3_p100623873	AFF3	217	247	690	368
+AFF4_m132272813	AFF4	649	422	1198	2157
+AFF4_m132272826	AFF4	786	1234	3211	3711
+AFF4_m132272833	AFF4	929	1084	1731	2189
+AFF4_m132272841	AFF4	164	359	448	1402
+AFF4_m132272866	AFF4	816	826	2232	2605
+AFF4_p132272747	AFF4	359	64	115	579
+AFF4_p132272762	AFF4	382	267	1139	1059
+AFF4_p132272771	AFF4	375	781	1818	2643
+AFF4_p132272844	AFF4	408	530	1920	2421
+AFF4_p132272853	AFF4	515	381	1400	1598
+AFMID_m76183481	AFMID	477	551	978	1588
+AFMID_m76183493	AFMID	304	108	349	365
+AFMID_m76187074	AFMID	611	496	803	543
+AFMID_m76187079	AFMID	269	265	866	440
+AFMID_p76183445	AFMID	620	482	1487	1754
+AFMID_p76183450	AFMID	543	878	962	1761
+AFMID_p76183465	AFMID	108	337	504	414
+AFMID_p76183473	AFMID	261	241	1321	746
+AFMID_p76187060	AFMID	309	636	1105	1222
+AFMID_p76187082	AFMID	774	579	1274	1548
+AFTPH_m64778617	AFTPH	283	165	385	65
+AFTPH_m64778646	AFTPH	680	529	1310	2559
+AFTPH_m64778724	AFTPH	34	72	168	117
+AFTPH_m64778773	AFTPH	41	91	367	335
+AFTPH_m64778841	AFTPH	508	257	1696	967
+AFTPH_m64778905	AFTPH	315	199	981	1187
+AFTPH_p64778649	AFTPH	1173	845	2103	2885
+AFTPH_p64778713	AFTPH	1178	849	2447	1747
+AFTPH_p64778754	AFTPH	578	485	1208	1349
+AFTPH_p64778890	AFTPH	422	298	581	1149
+AGAP2_m58128438	AGAP2	556	505	1856	1455
+AGAP2_m58128444	AGAP2	1673	906	3114	3687
+AGAP2_m58128454	AGAP2	825	649	1423	1588
+AGAP2_m58129187	AGAP2	624	433	1675	1954
+AGAP2_m58129192	AGAP2	541	409	1625	662
+AGAP2_p58128423	AGAP2	287	288	635	725
+AGAP2_p58129143	AGAP2	515	282	1256	456
+AGAP2_p58129148	AGAP2	519	670	986	1154
+AGAP2_p58129153	AGAP2	208	115	403	489
+AGAP2_p58129171	AGAP2	346	511	2100	2182
+AGAP3_m150784003	AGAP3	944	631	1925	1942
+AGAP3_p150783818	AGAP3	264	287	1479	1311
+AGAP3_p150783825	AGAP3	222	358	1523	1076
+AGAP3_p150783857	AGAP3	904	585	2134	2790
+AGAP3_p150783866	AGAP3	240	132	492	750
+AGAP3_p150783903	AGAP3	472	382	1243	1565
+AGAP3_p150783915	AGAP3	570	405	594	1737
+AGAP3_p150783972	AGAP3	249	208	529	1305
+AGAP3_p150784007	AGAP3	481	358	1327	2561
+AGAP3_p150784015	AGAP3	331	379	1244	1284
+AGBL5_m27275887	AGBL5	436	339	487	337
+AGBL5_m27275950	AGBL5	241	158	324	482
+AGBL5_m27275975	AGBL5	530	525	1234	1582
+AGBL5_m27276001	AGBL5	425	312	588	976
+AGBL5_m27276006	AGBL5	771	785	1013	1977
+AGBL5_p27275820	AGBL5	288	232	356	746
+AGBL5_p27275854	AGBL5	202	467	776	2155
+AGBL5_p27275870	AGBL5	466	308	625	990
+AGBL5_p27275876	AGBL5	300	355	689	799
+AGBL5_p27275898	AGBL5	754	1109	1690	2331
+AGFG1_m228337138	AGFG1	714	564	2746	1557
+AGFG1_m228337178	AGFG1	374	575	1247	1529
+AGFG1_m228337201	AGFG1	635	496	1007	1334
+AGFG1_m228337208	AGFG1	457	440	879	1340
+AGFG1_m228337217	AGFG1	229	348	573	750
+AGFG1_m228337248	AGFG1	669	378	1071	587
+AGFG1_m228337276	AGFG1	1621	1273	2485	2620
+AGFG1_p228337142	AGFG1	0	24	0	137
+AGFG1_p228337168	AGFG1	454	376	780	1240
+AGFG1_p228337221	AGFG1	306	241	1131	1122
+AGL_m100327112	AGL	777	539	1842	2115
+AGL_m100327128	AGL	83	140	505	640
+AGL_m100327135	AGL	151	67	664	807
+AGL_m100327186	AGL	94	90	635	232
+AGL_m100327263	AGL	516	261	650	368
+AGL_p100327060	AGL	497	260	523	675
+AGL_p100327074	AGL	413	555	1032	899
+AGL_p100327114	AGL	32	83	380	54
+AGL_p100327219	AGL	134	162	66	137
+AGL_p100327246	AGL	315	143	320	626
+AGPAT3_m45379563	AGPAT3	179	141	81	288
+AGPAT3_m45379570	AGPAT3	87	130	303	281
+AGPAT3_m45379578	AGPAT3	69	88	328	395
+AGPAT3_m45379590	AGPAT3	819	918	2207	1744
+AGPAT3_m45379606	AGPAT3	256	166	527	358
+AGPAT3_p45379552	AGPAT3	710	651	2228	2263
+AGPAT3_p45379592	AGPAT3	734	254	476	439
+AGPAT3_p45379613	AGPAT3	407	172	740	481
+AGPAT3_p45379618	AGPAT3	40	396	699	1463
+AGPAT3_p45379648	AGPAT3	701	370	934	719
+AGPAT5_m6566202	AGPAT5	195	321	307	227
+AGPAT5_m6566212	AGPAT5	1668	1381	3410	4278
+AGPAT5_m6566223	AGPAT5	782	1145	2701	2379
+AGPAT5_m6566233	AGPAT5	2271	2181	4502	4135
+AGPAT5_m6566240	AGPAT5	546	898	1383	1661
+AGPAT5_m6566254	AGPAT5	520	268	586	1373
+AGPAT5_m6566307	AGPAT5	196	141	369	188
+AGPAT5_p6566182	AGPAT5	329	233	790	1033
+AGPAT5_p6566257	AGPAT5	941	738	1815	1921
+AGPAT5_p6566262	AGPAT5	474	274	1506	1191
+AGTPBP1_m88296213	AGTPBP1	531	492	2269	2580
+AGTPBP1_m88296222	AGTPBP1	1138	509	1909	2637
+AGTPBP1_m88307605	AGTPBP1	495	251	796	824
+AGTPBP1_m88307687	AGTPBP1	1353	700	2269	2760
+AGTPBP1_m88307696	AGTPBP1	0	204	694	669
+AGTPBP1_p88296203	AGTPBP1	298	192	727	1188
+AGTPBP1_p88307644	AGTPBP1	206	189	435	608
+AGTPBP1_p88307675	AGTPBP1	800	646	1441	2138
+AGTPBP1_p88307700	AGTPBP1	107	67	64	1054
+AGTPBP1_p88307705	AGTPBP1	446	253	716	903
+AHCTF1_m247067252	AHCTF1	134	170	672	60
+AHCTF1_m247068844	AHCTF1	753	595	2763	1411
+AHCTF1_m247068867	AHCTF1	509	275	380	835
+AHCTF1_m247068886	AHCTF1	745	497	1328	638
+AHCTF1_m247068945	AHCTF1	461	178	973	1432
+AHCTF1_m247070906	AHCTF1	734	906	553	339
+AHCTF1_m247070995	AHCTF1	978	617	508	282
+AHCTF1_m247094617	AHCTF1	575	372	858	1120
+AHCTF1_p247076572	AHCTF1	375	417	1749	1088
+AHCTF1_p247079429	AHCTF1	409	507	1166	1318
+AHCY_m32883210	AHCY	205	370	362	240
+AHCY_m32883247	AHCY	777	619	179	176
+AHCY_m32883267	AHCY	537	378	1147	1029
+AHCY_m32883301	AHCY	267	232	530	374
+AHCY_m32883330	AHCY	1367	1259	3863	3387
+AHCY_p32883227	AHCY	729	229	1023	611
+AHCY_p32883238	AHCY	42	123	974	791
+AHCY_p32883253	AHCY	443	495	376	33
+AHCY_p32883304	AHCY	1106	794	3402	3472
+AHCY_p32883309	AHCY	717	497	169	185
+AHNAK2_m105423801	AHNAK2	827	932	2364	2698
+AHNAK2_m105423809	AHNAK2	275	265	776	1124
+AHNAK2_m105423822	AHNAK2	215	414	1125	1162
+AHNAK2_m105423829	AHNAK2	502	495	890	704
+AHNAK2_m105423836	AHNAK2	200	460	2170	1886
+AHNAK2_m105444536	AHNAK2	260	256	1122	1064
+AHNAK2_m105444541	AHNAK2	518	374	1342	1589
+AHNAK2_m105444555	AHNAK2	343	156	257	1290
+AHNAK2_p105423957	AHNAK2	460	311	497	1143
+AHNAK2_p105423983	AHNAK2	247	219	1549	972
+AHNAK_m62303488	AHNAK	272	284	1238	1124
+AHNAK_m62303507	AHNAK	79	133	464	34
+AHNAK_m62303523	AHNAK	122	168	238	534
+AHNAK_m62303528	AHNAK	181	449	1074	1467
+AHNAK_m62303548	AHNAK	591	552	1143	573
+AHNAK_m62303560	AHNAK	479	540	1629	2630
+AHNAK_p62303470	AHNAK	258	412	1397	1743
+AHNAK_p62303477	AHNAK	446	282	879	831
+AHNAK_p62303510	AHNAK	322	254	948	862
+AHNAK_p62303551	AHNAK	35	23	186	55
+AHRR_m344006	AHRR	235	92	752	841
+AHRR_m344069	AHRR	283	210	337	610
+AHRR_m353878	AHRR	1	47	0	110
+AHRR_m353892	AHRR	239	85	458	728
+AHRR_m353898	AHRR	382	96	316	720
+AHRR_p344008	AHRR	171	125	2480	2626
+AHRR_p344030	AHRR	501	503	1767	803
+AHRR_p344036	AHRR	230	342	600	114
+AHRR_p344042	AHRR	837	296	1327	1652
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out.count.R	Wed Apr 04 11:02:50 2018 -0400
@@ -0,0 +1,5 @@
+Sweave("output_countsummary.Rnw");
+library(tools);
+
+texi2dvi("output_countsummary.tex",pdf=TRUE);
+
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out.count.Rnw	Wed Apr 04 11:02:50 2018 -0400
@@ -0,0 +1,237 @@
+% 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.bam.txt	Sat Feb 17 10:40:59 2018 -0500
+++ b/test-data/out.count.bam.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -1,4 +1,4 @@
-sgRNA	Gene	test1.bam
+sgRNA	Gene	test1_bam
 s_10007	CCNA1	0
 s_10008	CCNA1	0
 s_10027	CCNC	0
--- a/test-data/out.count.fastq.txt	Sat Feb 17 10:40:59 2018 -0500
+++ b/test-data/out.count.fastq.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -1,4 +1,4 @@
-sgRNA	Gene	test1.fastq.gz
+sgRNA	Gene	test1_fastq_gz
 s_47512	RNF111	1
 s_24835	HCFC1R1	1
 s_14784	CYP4B1	4
--- a/test-data/out.count.log.txt	Sat Feb 17 10:40:59 2018 -0500
+++ b/test-data/out.count.log.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -1,46 +1,43 @@
-INFO  @ Wed, 14 Feb 2018 01:52:58: Parameters: /home/maria/miniconda3/envs/mulled-v1-0142cfe25b04f0c1d6899e250fb2f311b2d84778259938a0f6bd1d2ee743fa71/bin/mageck count -l /tmp/tmpqZ84Xc/files/000/dataset_7.dat --fastq input.gz -n output --pdf-report --keep-tmp --unmapped-to-file --norm-method median --sgrna-len 20
-INFO  @ Wed, 14 Feb 2018 01:52:58: Welcome to MAGeCK v0.5.7. Command: count
-INFO  @ Wed, 14 Feb 2018 01:52:58: Loading 2550 predefined sgRNAs.
-WARNING @ Wed, 14 Feb 2018 01:52:58: There are 0 sgRNAs with duplicated sequences.
-INFO  @ Wed, 14 Feb 2018 01:52:58: Parsing FASTQ file input.gz...
-INFO  @ Wed, 14 Feb 2018 01:52:58: Determining the trim-5 length of FASTQ file input.gz...
-INFO  @ Wed, 14 Feb 2018 01:52:58: Possible gRNA lengths:20
-INFO  @ Wed, 14 Feb 2018 01:52:58: Processing 0M reads ...
-INFO  @ Wed, 14 Feb 2018 01:52:58: Read length:30
-INFO  @ Wed, 14 Feb 2018 01:52:58: Total tested reads: 2500, mapped: 1453(0.5812)
-INFO  @ Wed, 14 Feb 2018 01:52:58: --trim-5 test data: (trim_length reads fraction)
-INFO  @ Wed, 14 Feb 2018 01:52:58: 0	1453	1.0
-INFO  @ Wed, 14 Feb 2018 01:52:58: Auto determination of trim5 results: 0
-INFO  @ Wed, 14 Feb 2018 01:52:58: Possible gRNA lengths:20
-INFO  @ Wed, 14 Feb 2018 01:52:58: Processing 0M reads ..
-INFO  @ Wed, 14 Feb 2018 01:52:58: Total: 2500.
-INFO  @ Wed, 14 Feb 2018 01:52:58: Mapped: 1453.
-DEBUG @ Wed, 14 Feb 2018 01:52:58: Initial (total) size factor: 1.0
-DEBUG @ Wed, 14 Feb 2018 01:52:58: Median factor: 2.0
-INFO  @ Wed, 14 Feb 2018 01:52:58: Final size factor: 2.0
-INFO  @ Wed, 14 Feb 2018 01:52:58: Summary of file input.gz:
-INFO  @ Wed, 14 Feb 2018 01:52:58: label	sample1
-INFO  @ Wed, 14 Feb 2018 01:52:58: reads	2500
-INFO  @ Wed, 14 Feb 2018 01:52:58: mappedreads	1453
-INFO  @ Wed, 14 Feb 2018 01:52:58: totalsgrnas	2550
-INFO  @ Wed, 14 Feb 2018 01:52:58: zerosgrnas	1276
-INFO  @ Wed, 14 Feb 2018 01:52:58: giniindex	0.5266899931488773
-INFO  @ Wed, 14 Feb 2018 01:52:58: Loading Rnw template file: /home/maria/miniconda3/envs/mulled-v1-0142cfe25b04f0c1d6899e250fb2f311b2d84778259938a0f6bd1d2ee743fa71/lib/python3.6/site-packages/mageck/fastq_template.Rnw.
-DEBUG @ Wed, 14 Feb 2018 01:52:58: Setting up the visualization module...
-INFO  @ Wed, 14 Feb 2018 01:52:58: Running command: cd ./; Rscript output_countsummary.R
-INFO  @ Wed, 14 Feb 2018 01:52:58: Command message:
-INFO  @ Wed, 14 Feb 2018 01:52:58:   Writing to file output_countsummary.tex
-INFO  @ Wed, 14 Feb 2018 01:52:58:   Processing code chunks with options ...
-INFO  @ Wed, 14 Feb 2018 01:52:58:    1 : keep.source term verbatim (label = funcdef, output_countsummary.Rnw:28)
-INFO  @ Wed, 14 Feb 2018 01:52:58:    2 : keep.source term tex (label = tab1, output_countsummary.Rnw:156)
-INFO  @ Wed, 14 Feb 2018 01:52:58:    3 : keep.source term tex (label = tab2, output_countsummary.Rnw:174)
-INFO  @ Wed, 14 Feb 2018 01:52:58:    4 : keep.source term tex (label = tab3, output_countsummary.Rnw:188)
-INFO  @ Wed, 14 Feb 2018 01:52:58:    5 : keep.source term verbatim pdf  (output_countsummary.Rnw:221)
-INFO  @ Wed, 14 Feb 2018 01:52:58:    6 : keep.source term verbatim pdf  (output_countsummary.Rnw:228)
-INFO  @ Wed, 14 Feb 2018 01:52:58:
-INFO  @ Wed, 14 Feb 2018 01:52:58:   You can now run (pdf)latex on ‘output_countsummary.tex’
-INFO  @ Wed, 14 Feb 2018 01:52:58:   Error in texi2dvi("output_countsummary.tex", pdf = TRUE) :
-INFO  @ Wed, 14 Feb 2018 01:52:58:     pdflatex is not available
-INFO  @ Wed, 14 Feb 2018 01:52:58:   Execution halted
-INFO  @ Wed, 14 Feb 2018 01:52:58:
-INFO  @ Wed, 14 Feb 2018 01:52:58: End command message.
+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.
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out.count.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -0,0 +1,2551 @@
+sgRNA	Gene	test1_fastq_gz
+s_47512	RNF111	1
+s_24835	HCFC1R1	1
+s_14784	CYP4B1	4
+s_51146	SLC18A1	1
+s_58960	TRIM5	1
+s_48256	RPRD2	1
+s_30297	KRTAP5-5	1
+s_14555	CYB5B	1
+s_39959	PAAF1	1
+s_45293	PUF60	1
+s_49358	SCN8A	1
+s_64995	ZYG11A	1
+s_4029	ASTE1	1
+s_45554	R3HDML	1
+s_34264	MMRN1	1
+s_37459	NOL6	1
+s_23990	GPX7	1
+s_20268	FANCC	1
+s_14157	CTLA4	1
+s_36773	NEURL4	18
+s_18804	ETFB	1
+s_782	ACSS1	1
+s_18272	ENPP2	1
+s_46620	RCN1	1
+s_55436	TAS2R3	1
+s_57947	TMPRSS2	1
+s_6438	C14orf159	1
+s_33846	MGST2	1
+s_16328	DNAH6	1
+s_17875	EIF4G1	1
+s_2305	ANAPC11	1
+s_2500	ANKRD2	1
+s_82	AARSD1	1
+s_55329	TAL1	1
+s_57926	TMPRSS11E	8
+s_38414	NUP98	4
+s_50044	SERPINF1	1
+s_9257	CASR	1
+s_63396	ZNF182	1
+s_56478	THBS3	1
+s_17191	DYRK1A	1
+s_11988	CIR1	1
+s_43313	PPARD	1
+s_44681	PSMA4	1
+s_10387	CD320	1
+s_64869	ZPBP	1
+s_54385	STK17B	1
+s_25423	HIST1H4D	1
+s_54172	ST8SIA4	9
+s_1161	ADCY10	1
+s_29184	KIAA0913	1
+s_42977	POLD3	1
+s_49449	SCUBE1	1
+s_24181	GRM4	1
+s_52507	SMARCA5	1
+s_28674	KCNJ10	1
+s_61074	VAMP2	4
+s_3954	ASIC2	1
+s_2385	ANK1	1
+s_18397	EPDR1	1
+s_18377	EPB41L4B	1
+s_34580	MRAP2	1
+s_48676	RUFY3	10
+s_691	ACP1	1
+s_30460	LAMP2	1
+s_42637	PLRG1	1
+s_12695	CNOT6	1
+s_33316	MECOM	2
+s_35081	MSRB2	1
+s_58512	TPD52L2	1
+s_19912	FAM22F	1
+s_45517	QSOX2	1
+s_56705	TINAG	1
+s_10946	CDKL5	1
+s_57473	TMEM211	2
+s_57657	TMEM44	1
+s_43200	POT1	1
+s_19436	FAM135A	1
+s_184	ABCB9	1
+s_30171	KRT84	1
+s_44758	PSMC3IP	1
+s_48313	RPS3	1
+s_58142	TNFSF12	6
+s_59718	TTLL6	7
+s_9725	CCDC43	1
+s_5135	BCKDHA	1
+s_36539	NDUFC2	1
+s_27251	IL27RA	1
+s_48939	SAMD10	1
+s_27343	IL5RA	1
+s_28386	KANK2	1
+s_27610	INSRR	1
+s_2769	AOC3	2
+s_58632	TRA2B	12
+s_6674	C16orf86	1
+s_22902	GJD4	1
+s_48278	RPS15A	1
+s_61998	WIPF2	1
+s_4937	BAIAP3	2
+s_54471	STOML1	2
+s_19157	FABP12	1
+s_5434	BIN1	2
+s_42042	PIP5K1A	1
+s_7794	C3orf18	1
+s_54846	SVIL	1
+s_62273	XPA	1
+s_45859	RACGAP1	1
+s_53626	SPOCK3	1
+s_43295	PPAP2C	7
+s_11788	CHRDL1	2
+s_50636	SHQ1	1
+s_16705	DPF1	1
+s_39741	OTOF	1
+s_27505	INHBE	1
+s_707	ACPL2	1
+s_15418	DDX3Y	6
+s_56018	TEAD4	1
+s_44367	PRR12	1
+s_25875	HOXB5	1
+s_49360	SCN9A	1
+s_16244	DMPK	1
+s_3909	ASCC2	1
+s_55088	SYT6	1
+s_54311	STAU1	1
+s_53890	SRP72	1
+s_11035	CDX1	1
+s_18178	EMR3	2
+s_16084	DLD	1
+s_47207	RHOBTB1	1
+s_40267	PARK2	6
+s_43104	POLR3B	1
+s_2200	AMDHD2	1
+s_12738	CNRIP1	1
+s_17842	EIF4A3	1
+s_57950	TMPRSS3	1
+s_62146	WRN	1
+s_11055	CEACAM1	1
+s_54580	STX2	1
+s_29277	KIAA1407	1
+s_33428	MEF2A	1
+s_59797	TUBB	1
+s_18113	EME1	1
+s_29839	KLHL8	1
+s_18058	ELP2	1
+s_49497	SDCBP2	3
+s_16874	DRP2	1
+s_13572	CREBL2	1
+s_20540	FBXO30	1
+s_64380	ZNF646	1
+s_50366	SH2B1	1
+s_2548	ANKRD33B	1
+s_41183	PDXP	1
+s_16315	DNAH12	1
+s_19996	FAM49B	1
+s_30751	LDLRAD3	1
+s_36960	NGEF	1
+s_39015	OR2A2	1
+s_26302	HSPB2	1
+s_64297	ZNF611	5
+s_730	ACSBG1	1
+s_50271	SFXN4	1
+s_8592	CA6	2
+s_13683	CRMP1	1
+s_51103	SLC16A7	1
+s_63785	ZNF384	1
+s_16339	DNAH9	1
+s_55936	TCTEX1D1	1
+s_14497	CXorf40A	1
+s_1123	ADAT1	1
+s_41304	PERP	1
+s_18719	ESAM	1
+s_35118	MSX2	1
+s_30128	KRT6A	1
+s_402	ABTB1	1
+s_32578	MAP1LC3A	1
+s_45063	PTMA	1
+s_43551	PPP1R14D	1
+s_2538	ANKRD32	1
+s_40384	PAX1	1
+s_29076	KIAA0101	1
+s_40482	PCDH10	1
+s_2348	ANGPT2	1
+s_59756	TTYH3	1
+s_34330	MOB4	1
+s_49331	SCN2B	1
+s_54905	SYDE1	1
+s_39101	OR2T1	1
+s_36623	NEDD4L	1
+s_40500	PCDH15	2
+s_10660	CDC42SE2	1
+s_30867	LGALS13	1
+s_24322	GSTK1	2
+s_59167	TRPC1	1
+s_57440	TMEM201	1
+s_50539	SHC1	1
+s_37087	NIT1	1
+s_56345	TGFB2	1
+s_55388	TARM1	1
+s_1224	ADD2	1
+s_5256	BCOR	2
+s_51731	SLC35B3	1
+s_12987	COL6A6	1
+s_56745	TJP3	1
+s_19340	FAM120AOS	1
+s_53904	SRPR	1
+s_1588	AGXT	1
+s_46157	RASA3	1
+s_19166	FABP3	7
+s_22330	GATM	1
+s_10731	CDH13	1
+s_2329	ANAPC5	1
+s_46045	RANGAP1	1
+s_54814	SUV39H2	1
+s_56169	TEX14	1
+s_3433	ARHGEF26	1
+s_48032	RP4-811H24.6	1
+s_51930	SLC41A3	1
+s_63893	ZNF433	1
+s_46996	RGCC	1
+s_13863	CSF3R	1
+s_26337	HSPH1	1
+s_12983	COL6A3	1
+s_1376	ADSS	1
+s_45449	PYHIN1	1
+s_49629	SEC22C	1
+s_20204	FAM86A	1
+s_24920	HDAC9	1
+s_14961	DAPK1	1
+s_23900	GPR98	2
+s_14485	CXorf27	1
+s_61808	WDR66	1
+s_55855	TCF7	1
+s_44652	PSG8	1
+s_46608	RCCD1	1
+s_61175	VCAM1	1
+s_27453	INCA1	1
+s_28987	KDM4C	1
+s_20613	FBXO7	1
+s_7715	C2orf70	3
+s_3902	ASB9	1
+s_64098	ZNF534	1
+s_31108	LIN7B	1
+s_3383	ARHGEF1	1
+s_7626	C2orf43	1
+s_52247	SLC8A1	1
+s_54498	STOX1	1
+s_12160	CLDN17	1
+s_16224	DMD	1
+s_41715	PHLDB2	1
+s_12197	CLDN7	1
+s_51239	SLC22A16	1
+s_41286	PEPD	1
+s_2367	ANGPTL4	1
+s_59289	TSC22D4	1
+s_22437	GCFC2	1
+s_24343	GSTO2	1
+s_32783	MAPKAPK5	1
+s_37032	NINJ1	1
+s_49065	SASH3	1
+s_60466	UGT1A1	1
+s_26043	HPSE2	2
+s_21199	FLNA	1
+s_41054	PDGFRA	1
+s_1820	AKNA	1
+s_19548	FAM166A	1
+s_43967	PRDX5	1
+s_51905	SLC39A8	1
+s_22723	GGT5	5
+s_13242	COX6C	1
+s_27668	IP6K1	1
+s_64491	ZNF692	1
+s_61982	WHSC1L1	2
+s_48495	RSAD1	1
+s_34351	MOCS3	1
+s_12069	CLCA1	3
+s_22023	GABRR1	1
+s_12812	COASY	2
+s_40068	PAIP1	1
+s_11513	CGREF1	2
+s_32119	LY6K	1
+s_60743	UQCR11	1
+s_56354	TGFBR1	1
+s_3062	APOL2	1
+s_20525	FBXO25	1
+s_55591	TBC1D7	1
+s_14987	DARS2	1
+s_63195	ZMAT2	1
+s_41936	PIK3C2G	1
+s_56092	TEP1	1
+s_61284	VIT	1
+s_10035	CCND2	1
+s_43744	PPP6R3	2
+s_48110	RPL10L	1
+s_39381	OR5H15	1
+s_6827	C17orf90	2
+s_8795	CADPS	1
+s_55301	TAF9	1
+s_25756	HNRNPM	1
+s_61177	VCAN	1
+s_22932	GLB1	1
+s_55751	TCEA2	1
+s_39419	OR5T3	1
+s_33669	MEX3A	1
+s_42714	PLXNC1	1
+s_23239	GNAT1	1
+s_4546	ATPAF1	1
+s_64432	ZNF671	1
+s_31346	LOXHD1	1
+s_46353	RBFOX2	1
+s_8848	CALHM2	1
+s_27039	IL12RB1	1
+s_62824	ZCCHC9	1
+s_7498	C20orf96	1
+s_43406	PPIE	1
+s_54925	SYN1	1
+s_27284	IL31RA	1
+s_63774	ZNF37A	1
+s_43643	PPP1R8	1
+s_63149	ZIC2	1
+s_26251	HSP90AB1	1
+s_46773	RELL2	1
+s_64868	ZP4	1
+s_626	ACLY	1
+s_40694	PCED1A	1
+s_15888	DHTKD1	1
+s_53641	SPP1	1
+s_21822	FXR1	1
+s_53660	SPR	1
+s_29906	KLKB1	1
+s_1901	ALAS2	1
+s_45130	PTPN2	1
+s_43535	PPP1R13B	2
+s_15855	DHRS12	1
+s_13602	CRH	1
+s_51848	SLC39A1	1
+s_61205	VDR	1
+s_18989	EXOC7	1
+s_22294	GATA1	2
+s_34584	MRAS	1
+s_33140	MCFD2	1
+s_34546	MPST	1
+s_27208	IL21R	1
+s_14576	CYB5R4	1
+s_43745	PPP6R3	1
+s_41675	PHF8	1
+s_41243	PEBP4	2
+s_42685	PLXNA1	1
+s_41585	PHB2	1
+s_47989	RP1L1	1
+s_42300	PLA2G6	1
+s_53387	SPATA6L	1
+s_15423	DDX4	1
+s_64039	ZNF506	5
+s_22276	GAS6	1
+s_15373	DDX19B	1
+s_4322	ATP2B2	1
+s_25787	HOMER1	1
+s_10739	CDH16	1
+s_51702	SLC34A3	1
+s_20623	FBXO9	2
+s_13244	COX6C	1
+s_35367	MTX2	1
+s_5681	BPIFB6	1
+s_57337	TMEM176A	1
+s_43464	PPM1F	1
+s_20530	FBXO28	1
+s_55958	TDGF1	1
+s_4516	ATP7B	1
+s_19128	F8	1
+s_40084	PAK1IP1	1
+s_29430	KIF20B	1
+s_14773	CYP46A1	1
+s_19102	F2R	1
+s_29306	KIAA1524	2
+s_11438	CETN3	1
+s_49647	SEC24D	1
+s_35891	NAA11	1
+s_10770	CDH23	2
+s_44838	PSMG2	1
+s_22687	GGCT	1
+s_14266	CTSW	1
+s_38451	NXF3	1
+s_60012	TYRP1	1
+s_13190	COTL1	1
+s_4721	AZI2	1
+s_28800	KCNMB3	1
+s_23136	GM2A	1
+s_31806	LRRC71	1
+s_11862	CHRNG	2
+s_52893	SNX12	1
+s_31960	LSM5	1
+s_3273	ARHGAP22	1
+s_22140	GALNT2	1
+s_36663	NEK1	1
+s_45974	RALB	1
+s_48582	RTCA	1
+s_27173	IL1RL1	1
+s_49800	SEMA6D	1
+s_18249	ENOPH1	1
+s_31609	LRRC10B	1
+s_6450	C14orf176	1
+s_42314	PLAC1L	1
+s_7822	C3orf27	1
+s_43695	PPP2R5C	1
+s_8939	CAMKV	1
+s_58681	TRAF7	1
+s_12850	COG6	1
+s_20936	FGF3	1
+s_10862	CDK17	1
+s_60046	UAP1	1
+s_42295	PLA2G5	1
+s_52045	SLC4A9	1
+s_18532	EPS8L3	1
+s_15737	DFNB31	1
+s_12691	CNOT4	1
+s_27651	INTS7	1
+s_52454	SLX4	1
+s_5507	BMF	1
+s_57583	TMEM25	1
+s_36267	NCK2	1
+s_15361	DDX17	1
+s_24303	GSS	1
+s_11095	CEBPB	2
+s_59318	TSG101	1
+s_35897	NAA16	1
+s_11714	CHMP3	1
+s_7217	C1orf186	1
+s_14282	CTU1	1
+s_53137	SOX15	1
+s_30977	LHX3	1
+s_825	ACTL6A	1
+s_33214	MCOLN3	1
+s_57706	TMEM55B	1
+s_41619	PHF12	1
+s_13595	CREM	1
+s_30523	LARP4	1
+s_6229	C11orf68	1
+s_17880	EIF4G2	1
+s_36676	NEK3	1
+s_23667	GPR123	1
+s_1296	ADORA1	1
+s_18235	ENHO	1
+s_20589	FBXO45	1
+s_31341	LOX	1
+s_20983	FGFR2	1
+s_44192	PRLR	1
+s_62014	WIPI2	1
+s_2585	ANKRD45	1
+s_14161	CTLA4	1
+s_63079	ZFYVE1	1
+s_7088	C1orf106	1
+s_10461	CD55	1
+s_24803	HBM	1
+s_52929	SNX21	1
+s_40041	PAFAH2	1
+s_17056	DUSP15	1
+s_61656	WDR12	1
+s_28830	KCNQ3	2
+s_44745	PSMB9	1
+s_16151	DLGAP5	1
+s_17799	EIF2S3	1
+s_49444	SCTR	1
+s_37203	NLGN3	1
+s_63798	ZNF385D	1
+s_42282	PLA2G4D	1
+s_27383	ILF3	1
+s_40974	PDE4DIP	1
+s_55037	SYT1	1
+s_52560	SMC6	1
+s_56910	TM9SF2	1
+s_64839	ZNHIT6	2
+s_20818	FES	1
+s_16789	DPY19L3	1
+s_46072	RAP2A	1
+s_24369	GTDC1	1
+s_5332	BEST3	1
+s_15793	DGKG	2
+s_13197	COX11	1
+s_1613	AHCYL1	1
+s_62445	YLPM1	1
+s_5441	BIN3	1
+s_20572	FBXO41	1
+s_26507	IBSP	1
+s_17166	DYNC2H1	1
+s_37694	NPNT	1
+s_62561	ZBP1	1
+s_28074	ITGB3BP	1
+s_13046	COMMD4	1
+s_4936	BAIAP3	1
+s_16345	DNAI1	2
+s_60141	UBE2D4	1
+s_34569	MPZL3	1
+s_35839	MYRIP	1
+s_42840	PNN	1
+s_64147	ZNF558	1
+s_21759	FUCA2	1
+s_62347	XYLB	1
+s_41049	PDGFD	1
+s_19760	FAM198B	1
+s_4944	BAMBI	1
+s_59471	TSSC1	1
+s_60224	UBE2T	1
+s_62753	ZC3H6	1
+s_29129	KIAA0355	1
+s_43266	PPA2	1
+s_48165	RPL31	1
+s_25918	HOXC8	1
+s_61309	VMO1	1
+s_29649	KLF5	1
+s_3093	APP	1
+s_59201	TRPM2	2
+s_31154	LIPH	1
+s_43571	PPP1R17	1
+s_58112	TNFRSF25	1
+s_22767	GHRL	1
+s_59817	TUBB6	1
+s_63192	ZMAT1	1
+s_7306	C1orf49	1
+s_37585	NOX5	1
+s_57817	TMEM87B	1
+s_3667	ARNTL2	1
+s_14264	CTSS	1
+s_61283	VIT	1
+s_35482	MXD3	2
+s_54197	STAC2	1
+s_54806	SUSD5	1
+s_22238	GAPT	1
+s_62113	WNT8A	1
+s_54543	STRN4	1
+s_33235	MDC1	1
+s_63489	ZNF224	1
+s_37914	NRG1	1
+s_36452	NDUFA3	1
+s_12262	CLEC3B	1
+s_25	AAAS	1
+s_50339	SGPP2	1
+s_30706	LDB1	1
+s_49357	SCN8A	1
+s_33618	METTL21D	1
+s_4402	ATP5O	1
+s_55017	SYNRG	1
+s_51299	SLC23A3	1
+s_34572	MR1	2
+s_49259	SCGB3A1	1
+s_17794	EIF2S1	1
+s_47977	RP11-744I24.1	1
+s_32701	MAP7	1
+s_32432	MAGI3	1
+s_36564	NDUFS6	1
+s_11527	CHAC1	1
+s_56181	TEX22	1
+s_714	ACPT	1
+s_51144	SLC18A1	1
+s_57122	TMEM117	1
+s_28872	KCTD1	1
+s_63600	ZNF28	1
+s_57369	TMEM182	1
+s_60388	UCK1	1
+s_47188	RHEB	1
+s_15237	DCTD	1
+s_42694	PLXNA4	1
+s_19680	FAM187B	1
+s_35378	MUC1	1
+s_38682	OGG1	1
+s_1085	ADAMTS9	1
+s_40910	PDE1A	1
+s_27956	ISOC2	1
+s_27821	IRAK1	1
+s_16210	DMBT1	1
+s_63398	ZNF184	1
+s_18679	ERMP1	1
+s_9161	CASC1	2
+s_45196	PTPRF	1
+s_23002	GLIS2	1
+s_17310	EBP	1
+s_54797	SUSD3	1
+s_1528	AGPAT4	1
+s_7045	C1QTNF6	1
+s_22952	GLCE	1
+s_7105	C1orf111	1
+s_36537	NDUFC1	1
+s_15359	DDX11	1
+s_32881	MARK3	1
+s_27486	INHA	1
+s_2399	ANK2	1
+s_60825	USP10	1
+s_20838	FEZ2	1
+s_43974	PREB	1
+s_16482	DNAJC5G	1
+s_26334	HSPG2	1
+s_46175	RASD1	1
+s_26764	IFT20	1
+s_14739	CYP2J2	1
+s_11386	CERS2	1
+s_5964	BTN1A1	1
+s_16810	DPYSL3	1
+s_16136	DLGAP2	1
+s_13401	CPPED1	1
+s_22359	GBGT1	1
+s_49575	SDSL	1
+s_62067	WNT16	1
+s_61863	WDR83OS	1
+s_44742	PSMB8	2
+s_31855	LRRFIP2	1
+s_528	ACADM	1
+s_13073	COPA	1
+s_32741	MAPK3	1
+s_38779	OPA3	1
+s_34827	MRPS17	1
+s_16969	DTX1	1
+s_56448	THAP4	1
+s_906	ACVR2A	1
+s_45078	PTP4A2	1
+s_23628	GPR101	1
+s_58510	TPD52L1	1
+s_561	ACAT2	1
+s_52492	SMAP2	1
+s_24039	GRB2	1
+s_46264	RASSF4	1
+s_39609	ORMDL3	1
+s_47343	RIMS4	1
+s_56575	THUMPD1	1
+s_3261	ARHGAP18	1
+s_8148	C6orf165	1
+s_17030	DUSP10	1
+s_56155	TEX101	1
+s_21191	FLI1	1
+s_50732	SIK1	1
+s_2914	APCDD1	1
+s_30717	LDB3	1
+s_4702	AXIN1	2
+s_21360	FNIP2	1
+s_54350	STEAP4	1
+s_57227	TMEM14A	2
+s_58177	TNIK	1
+s_7465	C20orf26	2
+s_17327	ECE2	1
+s_51639	SLC30A10	1
+s_4352	ATP5A1	1
+s_18616	ERCC8	1
+s_44043	PRIMA1	1
+s_36712	NELL2	1
+s_61348	VPS16	1
+s_2680	ANO4	1
+s_30437	LAMB2	1
+s_33742	MFSD12	1
+s_58796	TRHR	1
+s_52365	SLCO5A1	1
+s_41281	PEMT	1
+s_23427	GON4L	1
+s_13427	CPSF3L	1
+s_40193	PAPD7	1
+s_21543	FPGT	2
+s_16722	DPH2	1
+s_40078	PAIP2B	1
+s_60284	UBL5	1
+s_59936	TXNDC15	1
+s_31898	LRRTM4	1
+s_44833	PSMG1	2
+s_19552	FAM166B	1
+s_19478	FAM151A	1
+s_30185	KRTAP1-3	1
+s_61742	WDR45	1
+s_7252	C1orf212	1
+s_29507	KIF9	1
+s_2786	AP1G1	1
+s_21222	FLT1	1
+s_38408	NUP93	1
+s_60875	USP25	1
+s_39905	P2RX5	1
+s_54470	STOML1	1
+s_19064	EYA4	1
+s_41060	PDGFRL	1
+s_32049	LUC7L	1
+s_11837	CHRNA9	1
+s_64166	ZNF563	1
+s_11211	CENPK	1
+s_63097	ZFYVE21	1
+s_24757	HAUS4	1
+s_4190	ATG7	1
+s_48629	RTN4	1
+s_22880	GJB3	1
+s_44427	PRR7	1
+s_464	AC069154.2	1
+s_22093	GALC	1
+s_55367	TAPBP	1
+s_56672	TIMM22	1
+s_22286	GAS7	1
+s_45341	PVR	1
+s_34498	MPL	1
+s_60077	UBA7	3
+s_44215	PRMT5	1
+s_15576	DEFB125	1
+s_44098	PRKAR2B	3
+s_38270	NUDT19	1
+s_12662	CNNM3	1
+s_51149	SLC18A2	1
+s_42223	PKP4	1
+s_31072	LIMK1	1
+s_6339	C12orf53	1
+s_26400	HTR3E	1
+s_43315	PPARD	1
+s_28264	JAM3	1
+s_33927	MIER1	1
+s_11251	CEP104	1
+s_33388	MED24	1
+s_53844	SRGAP1	1
+s_40003	PACSIN2	1
+s_5428	BIK	1
+s_28459	KAZN	1
+s_12578	CNBP	1
+s_20731	FCRL3	1
+s_41692	PHKB	3
+s_13730	CRTC2	1
+s_50741	SIKE1	2
+s_10340	CD276	1
+s_42441	PLD6	1
+s_32600	MAP2K1	2
+s_21836	FXYD3	5
+s_33227	MCTP2	1
+s_23930	GPS1	1
+s_58948	TRIM46	1
+s_23579	GPER	1
+s_19158	FABP12	1
+s_26003	HPGD	1
+s_12701	CNOT7	1
+s_41164	PDS5B	1
+s_35675	MYLIP	1
+s_54071	SSX5	1
+s_59652	TTC9C	1
+s_35593	MYH10	1
+s_28060	ITGB1BP1	1
+s_52258	SLC8A3	2
+s_52898	SNX14	1
+s_25618	HMGCS1	1
+s_5068	BBS9	1
+s_4389	ATP5J	1
+s_49674	SEC62	1
+s_10264	CD1D	1
+s_20442	FBXL16	1
+s_11296	CEP41	1
+s_64923	ZSCAN22	1
+s_43954	PRDX3	1
+s_41735	PHOX2A	1
+s_33740	MFSD11	1
+s_2779	AP000892.1	1
+s_12703	CNOT7	1
+s_23338	GNMT	1
+s_14454	CXXC1	1
+s_49387	SCO1	1
+s_9124	CARD8	1
+s_42754	PML	2
+s_38814	OPRD1	1
+s_40024	PADI4	1
+s_29225	KIAA1147	1
+s_43402	PPID	1
+s_58669	TRAF3IP3	1
+s_59528	TTC17	1
+s_19114	F2RL3	1
+s_3339	ARHGAP35	1
+s_1522	AGPAT2	1
+s_33006	MBD2	1
+s_64149	ZNF558	1
+s_9791	CCDC69	1
+s_51442	SLC25A4	1
+s_59174	TRPC4	1
+s_37772	NQO2	1
+s_28649	KCNH8	1
+s_39896	P2RX3	1
+s_44644	PSG4	1
+s_51440	SLC25A39	1
+s_23954	GPSM3	1
+s_58911	TRIM36	1
+s_20632	FBXW12	1
+s_50149	SETMAR	1
+s_42606	PLK4	2
+s_55148	TAB1	1
+s_64628	ZNF772	1
+s_10616	CDC34	1
+s_38307	NUDT8	1
+s_23831	GPR35	1
+s_17055	DUSP15	1
+s_6922	C19orf44	1
+s_42494	PLEKHF2	1
+s_2104	ALPK1	1
+s_17640	EGFR	1
+s_37797	NR1H3	1
+s_23299	GNG3	1
+s_9517	CCDC125	1
+s_7562	C22orf42	1
+s_38149	NTNG1	1
+s_64633	ZNF774	1
+s_34420	MORN3	1
+s_56144	TET2	1
+s_18093	EMC6	1
+s_63835	ZNF410	1
+s_35521	MYBPC1	1
+s_64601	ZNF75D	1
+s_42105	PITX2	1
+s_39091	OR2M4	2
+s_1765	AKAP13	1
+s_6189	C11orf45	1
+s_63701	ZNF330	1
+s_28136	ITM2A	1
+s_56984	TMCO1	1
+s_49007	SAMSN1	1
+s_33654	METTL7A	2
+s_41626	PHF14	1
+s_34072	MLF1	1
+s_8880	CALR	1
+s_8738	CACNB4	1
+s_64012	ZNF496	1
+s_59206	TRPM3	1
+s_3971	ASIC5	1
+s_190	ABCC10	1
+s_41999	PIM1	1
+s_64465	ZNF684	1
+s_18728	ESD	1
+s_33786	MGA	1
+s_39611	OS9	1
+s_3484	ARID1B	1
+s_1238	ADH4	1
+s_53695	SPRTN	1
+s_23676	GPR126	1
+s_26052	HRAS	1
+s_36545	NDUFS1	1
+s_63208	ZMAT5	1
+s_2908	APC	1
+s_15119	DCAF8	1
+s_64395	ZNF655	1
+s_54556	STUB1	1
+s_10027	CCNC	1
+s_20178	FAM83C	1
+s_38266	NUDT17	1
+s_63517	ZNF233	1
+s_5435	BIN1	3
+s_13322	CPEB3	3
+s_19210	FAHD2A	1
+s_28276	JDP2	1
+s_38449	NXF1	1
+s_44619	PSEN1	1
+s_49290	SCMH1	1
+s_63232	ZMYM3	1
+s_47908	RP11-173D9.3	1
+s_51358	SLC25A18	1
+s_42513	PLEKHG5	1
+s_270	ABHD1	1
+s_58611	TPSG1	1
+s_45665	RAB33A	1
+s_35550	MYCL1	1
+s_55953	TCTN3	1
+s_39190	OR4D5	1
+s_64862	ZP2	1
+s_48451	RRM2	1
+s_44136	PRKCZ	1
+s_12532	CMTM1	1
+s_13958	CSPP1	1
+s_61437	VSIG1	1
+s_2427	ANKH	1
+s_48236	RPP25	1
+s_25248	HHIP	1
+s_49666	SEC61A2	2
+s_40916	PDE1C	1
+s_51267	SLC22A3	2
+s_45250	PTPRU	1
+s_54454	STMN2	1
+s_50448	SH3BP5	1
+s_35505	MYB	1
+s_34174	MMD2	1
+s_43046	POLR1D	1
+s_26919	IGSF1	1
+s_59350	TSKU	1
+s_52462	SMAD3	1
+s_44496	PRSS22	1
+s_12310	CLIC1	1
+s_60920	USP38	1
+s_42557	PLEKHO2	1
+s_37636	NPEPL1	1
+s_56222	TFAP2A	1
+s_46417	RBM22	1
+s_20477	FBXL6	1
+s_30504	LAPTM4A	1
+s_49873	4-Sep	1
+s_22231	GAPDH	1
+s_24866	HCRT	1
+s_26084	HRH4	1
+s_266	ABCG8	1
+s_31387	LPCAT1	1
+s_38114	NTF3	1
+s_13990	CST11	1
+s_24036	GRB14	1
+s_50585	SHISA4	1
+s_14163	CTNNA1	1
+s_1729	AK2	1
+s_62985	ZFHX3	1
+s_21318	FNBP1L	1
+s_13575	CREBRF	1
+s_5344	BET1	1
+s_49424	SCRN2	1
+s_31170	LIPN	1
+s_54781	SURF2	1
+s_51325	SLC25A1	1
+s_34136	MLNR	1
+s_31677	LRRC31	1
+s_53307	SPARCL1	1
+s_28022	ITGA7	1
+s_31356	LOXL3	1
+s_118	ABCA12	1
+s_12481	CLUL1	1
+s_40393	PAX3	1
+s_39614	OS9	1
+s_22342	GBA2	1
+s_1136	ADC	1
+s_10401	CD37	1
+s_4512	ATP7A	1
+s_10615	CDC27	1
+s_54497	STOX1	1
+s_46754	REG4	1
+s_20299	FAP	1
+s_63316	ZNF138	1
+s_42213	PKP2	1
+s_52161	SLC6A4	1
+s_60954	USP48	1
+s_14721	CYP2C9	1
+s_54067	SSX3	1
+s_42512	PLEKHG5	1
+s_32324	MAD2L1BP	1
+s_26149	HSD11B1L	1
+s_62941	ZFAND1	1
+s_306	ABHD16A	1
+s_42173	PKIG	1
+s_33499	MEOX1	1
+s_2639	ANKS1A	1
+s_9221	CASP4	2
+s_60951	USP48	1
+s_42487	PLEKHB2	1
+s_12463	CLTB	1
+s_17140	DYDC2	1
+s_15238	DCTD	1
+s_32766	MAPK8IP3	1
+s_6844	C18orf1	1
+s_29768	KLHL25	1
+s_58192	TNIP3	1
+s_26239	HSF4	1
+s_14209	CTRL	1
+s_7539	C22orf25	1
+s_21263	FMNL3	1
+s_56798	TLK1	1
+s_30163	KRT80	1
+s_28530	KCNAB1	1
+s_50079	SESN2	1
+s_17622	EGFL7	1
+s_27107	IL17RE	1
+s_61128	VASH2	1
+s_7629	C2orf44	1
+s_59045	TRIML2	1
+s_53186	SP110	1
+s_44696	PSMA8	1
+s_4081	ATAT1	1
+s_59776	TUBA3C	1
+s_26981	IKBKB	1
+s_11984	CINP	1
+s_38231	NUDT1	1
+s_34096	MLKL	1
+s_39703	OSM	1
+s_44761	PSMC4	1
+s_29844	KLK1	1
+s_46470	RBM43	1
+s_21735	FTSJ1	1
+s_54159	ST7L	1
+s_29161	KIAA0586	1
+s_62066	WNT11	1
+s_32768	MAPK9	1
+s_38834	OPTC	1
+s_27041	IL12RB2	1
+s_25301	HIGD1C	1
+s_48626	RTN4	1
+s_2191	AMBRA1	1
+s_64637	ZNF775	1
+s_24425	GTF2IRD1	2
+s_28025	ITGA7	1
+s_21739	FTSJ2	1
+s_56140	TET1	1
+s_18340	EOGT	1
+s_48335	RPS6KA1	1
+s_8918	CAMK2N1	1
+s_9126	CARD8	1
+s_34993	MSC	1
+s_62519	YY1AP1	1
+s_17754	EIF2B2	1
+s_3894	ASB7	1
+s_1366	ADRBK2	1
+s_63368	ZNF169	1
+s_33217	MCRS1	1
+s_791	ACSS3	1
+s_3070	APOL5	1
+s_158	ABCB4	1
+s_46169	RASAL2	1
+s_31573	LRP3	1
+s_15806	DGKQ	1
+s_3426	ARHGEF2	1
+s_22505	GDAP2	1
+s_43731	PPP4R4	1
+s_62463	YPEL3	1
+s_1351	ADRA2A	1
+s_58570	TPPP	1
+s_27563	INPP5K	1
+s_64662	ZNF783	1
+s_43701	PPP2R5D	1
+s_41032	PDE9A	1
+s_40077	PAIP2B	1
+s_55106	SYTL2	1
+s_36104	NAT1	1
+s_5659	BPIFA2	1
+s_24738	HAS3	1
+s_23688	GPR135	1
+s_44125	PRKCI	1
+s_42154	PKDCC	1
+s_52320	SLC9B2	1
+s_56287	TFF1	1
+s_26218	HSDL1	1
+s_48811	S100A14	1
+s_27403	IMMT	1
+s_44547	PRSS50	1
+s_13554	CREB3L3	1
+s_52812	SNRNP35	1
+s_9678	CCDC28B	1
+s_42982	POLD4	1
+s_9038	CAPN3	1
+s_24550	GYG1	1
+s_7927	C4orf19	1
+s_59893	TWF2	1
+s_21776	FUS	1
+s_38699	OLA1	1
+s_15466	DDX54	1
+s_57105	TMEM110	1
+s_47396	RIPPLY2	1
+s_29679	KLHDC3	1
+s_19864	FAM214B	1
+s_22859	GIT2	1
+s_63818	ZNF397	1
+s_62767	ZC3HAV1	1
+s_30390	LAD1	1
+s_54683	SULT1C3	1
+s_29008	KDM5D	1
+s_24721	HARS	1
+s_19875	FAM217A	1
+s_33598	METTL18	1
+s_43299	PPAPDC1B	1
+s_23606	GPM6A	1
+s_8917	CAMK2G	1
+s_7803	C3orf22	1
+s_52734	SNAP91	2
+s_46558	RBPJL	1
+s_44462	PRRT2	1
+s_30938	LHB	1
+s_33858	MIA2	1
+s_1394	AEN	1
+s_39870	OXSR1	1
+s_4906	BAG6	1
+s_16155	DLK2	1
+s_35274	MTMR4	1
+s_10518	CD81	1
+s_39057	OR2F2	1
+s_43913	PRDM16	1
+s_34638	MRPL1	1
+s_612	ACER3	1
+s_32740	MAPK3	1
+s_16130	DLGAP1	1
+s_15564	DEFB119	1
+s_41047	PDGFC	1
+s_30824	LEPRE1	1
+s_19702	FAM189B	1
+s_16740	DPM3	1
+s_13557	CREB3L4	1
+s_10008	CCNA1	1
+s_58486	TP73	1
+s_18717	ESAM	1
+s_63612	ZNF280D	1
+s_14187	CTNND2	1
+s_59449	TSPO2	1
+s_42709	PLXNB3	1
+s_39221	OR4M2	1
+s_49750	SEMA3F	1
+s_8476	C9orf3	1
+s_45561	RAB11A	1
+s_5542	BMP5	1
+s_1064	ADAMTS4	1
+s_5354	BET3L	1
+s_17631	EGFLAM	1
+s_36593	NEBL	1
+s_6085	C10orf2	1
+s_13428	CPSF3L	1
+s_25023	HECW1	1
+s_3641	ARMC9	1
+s_56315	TFPT	1
+s_3278	ARHGAP22	1
+s_49946	SERPINA1	1
+s_20760	FDFT1	1
+s_26065	HRCT1	1
+s_50473	SH3GL1	1
+s_22971	GLI1	1
+s_24638	H6PD	1
+s_40488	PCDH11X	1
+s_61210	VEGFB	1
+s_28841	KCNQ5	1
+s_43717	PPP3R1	1
+s_25342	HIRA	1
+s_57951	TMPRSS4	1
+s_34011	MITF	1
+s_54412	STK32B	1
+s_16037	DISC1	1
+s_51701	SLC34A3	1
+s_54291	STAT4	1
+s_24419	GTF2I	1
+s_45973	RALB	1
+s_28705	KCNJ6	1
+s_5581	BNIP1	1
+s_19856	FAM213A	1
+s_18308	ENTPD1	1
+s_59198	TRPM1	1
+s_21871	FZD10	1
+s_1850	AKR1C4	1
+s_6867	C18orf54	1
+s_35715	MYO18B	1
+s_22242	GAPVD1	1
+s_32713	MAP7D3	1
+s_49953	SERPINA12	1
+s_55916	TCP11	1
+s_56174	TEX19	1
+s_22072	GAL	1
+s_41033	PDE9A	1
+s_26471	HYAL3	1
+s_60244	UBE2Z	1
+s_12589	CNEP1R1	1
+s_29896	KLK8	1
+s_29769	KLHL26	1
+s_39346	OR5AP2	1
+s_15213	DCPS	1
+s_48577	RTBDN	1
+s_32146	LYAR	1
+s_26382	HTR3C	1
+s_33001	MBD1	1
+s_41972	PIK3R2	1
+s_33212	MCOLN3	1
+s_35423	MUL1	1
+s_7838	C3orf35	1
+s_51092	SLC16A4	1
+s_20336	FASTK	1
+s_33469	MEI1	1
+s_5549	BMP7	1
+s_2490	ANKRD16	1
+s_38674	OGFRL1	1
+s_26322	HSPBAP1	1
+s_31244	LMNA	1
+s_34063	MLC1	1
+s_15550	DEFB113	1
+s_52892	SNX12	1
+s_25799	HOOK2	1
+s_55486	TAX1BP1	1
+s_4351	ATP5A1	1
+s_49917	SERHL2	1
+s_46614	RCHY1	1
+s_62680	ZBTB7B	1
+s_49488	SDCBP	1
+s_21866	FYTTD1	1
+s_23092	GLTPD1	1
+s_10675	CDC73	1
+s_12764	CNTN2	1
+s_9223	CASP5	1
+s_38310	NUDT8	1
+s_7059	C1QTNF9B	1
+s_33162	MCM3AP	1
+s_8498	C9orf50	1
+s_16876	DSC1	1
+s_14370	CWH43	1
+s_22565	GDPD1	1
+s_4304	ATP1B4	1
+s_3600	ARMC10	1
+s_18120	EMID1	1
+s_21865	FYN	1
+s_60042	U2SURP	1
+s_13930	CSNK1G3	1
+s_6618	C16orf53	1
+s_26173	HSD17B12	1
+s_46035	RANBP3L	1
+s_13167	CORO2A	1
+s_10481	CD6	1
+s_4563	ATPIF1	1
+s_50071	SERTAD4	1
+s_39089	OR2M3	1
+s_58390	TOR1AIP2	1
+s_45132	PTPN2	1
+s_34536	MPPED2	1
+s_24336	GSTM5	1
+s_38670	OGFR	1
+s_4606	ATXN3	1
+s_5049	BBS12	1
+s_28134	ITM2A	1
+s_23612	GPN1	1
+s_16085	DLEC1	1
+s_2525	ANKRD28	1
+s_1792	AKAP7	1
+s_27701	IPO11	1
+s_25633	HMGN5	1
+s_33287	MDM4	1
+s_17847	EIF4E	1
+s_58327	TOMM34	1
+s_54101	ST3GAL3	1
+s_41507	PGLYRP3	1
+s_38705	OLAH	1
+s_7336	C1orf61	1
+s_34439	MOSPD3	1
+s_33343	MED12	1
+s_30145	KRT75	1
+s_7793	C3orf18	1
+s_13874	CSH2	1
+s_14274	CTTN	1
+s_38166	NTRK2	1
+s_2916	APCDD1L	1
+s_41582	PHB	1
+s_16033	DISC1	1
+s_54156	ST7L	1
+s_21942	GABARAPL1	1
+s_19312	FAM115C	1
+s_5431	BIN1	1
+s_44378	PRR15	1
+s_22113	GALNT1	1
+s_11744	CHN1	1
+s_13702	CROT	1
+s_14052	CT62	1
+s_28143	ITM2C	1
+s_43456	PPM1B	1
+s_1396	AES	1
+s_21931	GAB2	1
+s_39536	OR8J3	1
+s_62622	ZBTB37	1
+s_10417	CD3G	1
+s_23789	GPR176	1
+s_37011	NICN1	1
+s_55412	TAS1R2	1
+s_36626	NEDD4L	1
+s_62812	ZCCHC4	1
+s_18097	EMC7	1
+s_36145	NAV2	1
+s_18994	EXOG	1
+s_61047	UTY	1
+s_57912	TMPRSS11B	1
+s_56577	THUMPD1	1
+s_8419	C9orf123	1
+s_36127	NAT9	1
+s_57557	TMEM240	1
+s_36157	NBEA	1
+s_16271	DMRTA2	1
+s_44643	PSG4	1
+s_53557	SPINK8	1
+s_36256	NCF4	1
+s_46280	RASSF6	1
+s_47580	RNF141	1
+s_8514	C9orf71	1
+s_62629	ZBTB4	1
+s_4286	ATP1A3	1
+s_36001	NAGK	1
+s_38778	OPA3	1
+s_8907	CAMK2A	1
+s_10448	CD5	1
+s_20085	FAM69B	1
+s_31389	LPCAT1	1
+s_56204	TEX34	1
+s_30139	KRT72	1
+s_34962	MS4A6A	1
+s_12886	COL17A1	1
+s_46458	RBM4	1
+s_37813	NR1I3	1
+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
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+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
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+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
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+s_37801	NR1H4	0
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+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
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out.count_multi.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -0,0 +1,2551 @@
+sgRNA	Gene	test1_fastq_gz	test2_fastq_gz
+s_47512	RNF111	1	0
+s_24835	HCFC1R1	1	0
+s_14784	CYP4B1	4	0
+s_51146	SLC18A1	1	0
+s_58960	TRIM5	1	0
+s_48256	RPRD2	1	0
+s_30297	KRTAP5-5	1	0
+s_14555	CYB5B	1	0
+s_39959	PAAF1	1	1
+s_45293	PUF60	1	0
+s_49358	SCN8A	1	1
+s_64995	ZYG11A	1	0
+s_4029	ASTE1	1	0
+s_45554	R3HDML	1	0
+s_34264	MMRN1	1	0
+s_37459	NOL6	1	0
+s_23990	GPX7	1	0
+s_20268	FANCC	1	0
+s_14157	CTLA4	1	0
+s_36773	NEURL4	18	3
+s_18804	ETFB	1	0
+s_782	ACSS1	1	0
+s_18272	ENPP2	1	0
+s_46620	RCN1	1	0
+s_55436	TAS2R3	1	0
+s_57947	TMPRSS2	1	1
+s_6438	C14orf159	1	0
+s_33846	MGST2	1	0
+s_16328	DNAH6	1	0
+s_17875	EIF4G1	1	0
+s_2305	ANAPC11	1	0
+s_2500	ANKRD2	1	0
+s_82	AARSD1	1	0
+s_55329	TAL1	1	0
+s_57926	TMPRSS11E	8	0
+s_38414	NUP98	4	0
+s_50044	SERPINF1	1	0
+s_9257	CASR	1	0
+s_63396	ZNF182	1	0
+s_56478	THBS3	1	0
+s_17191	DYRK1A	1	0
+s_11988	CIR1	1	0
+s_43313	PPARD	1	0
+s_44681	PSMA4	1	0
+s_10387	CD320	1	0
+s_64869	ZPBP	1	0
+s_54385	STK17B	1	0
+s_25423	HIST1H4D	1	0
+s_54172	ST8SIA4	9	0
+s_1161	ADCY10	1	0
+s_29184	KIAA0913	1	0
+s_42977	POLD3	1	0
+s_49449	SCUBE1	1	0
+s_24181	GRM4	1	1
+s_52507	SMARCA5	1	0
+s_28674	KCNJ10	1	0
+s_61074	VAMP2	4	0
+s_3954	ASIC2	1	0
+s_2385	ANK1	1	0
+s_18397	EPDR1	1	0
+s_18377	EPB41L4B	1	0
+s_34580	MRAP2	1	0
+s_48676	RUFY3	10	0
+s_691	ACP1	1	0
+s_30460	LAMP2	1	0
+s_42637	PLRG1	1	0
+s_12695	CNOT6	1	0
+s_33316	MECOM	2	0
+s_35081	MSRB2	1	0
+s_58512	TPD52L2	1	0
+s_19912	FAM22F	1	0
+s_45517	QSOX2	1	0
+s_56705	TINAG	1	0
+s_10946	CDKL5	1	0
+s_57473	TMEM211	2	0
+s_57657	TMEM44	1	0
+s_43200	POT1	1	0
+s_19436	FAM135A	1	0
+s_184	ABCB9	1	0
+s_30171	KRT84	1	0
+s_44758	PSMC3IP	1	0
+s_48313	RPS3	1	0
+s_58142	TNFSF12	6	0
+s_59718	TTLL6	7	0
+s_9725	CCDC43	1	0
+s_5135	BCKDHA	1	0
+s_36539	NDUFC2	1	0
+s_27251	IL27RA	1	0
+s_48939	SAMD10	1	0
+s_27343	IL5RA	1	0
+s_28386	KANK2	1	0
+s_27610	INSRR	1	0
+s_2769	AOC3	2	0
+s_58632	TRA2B	12	0
+s_6674	C16orf86	1	0
+s_22902	GJD4	1	0
+s_48278	RPS15A	1	0
+s_61998	WIPF2	1	0
+s_4937	BAIAP3	2	0
+s_54471	STOML1	2	1
+s_19157	FABP12	1	0
+s_5434	BIN1	2	0
+s_42042	PIP5K1A	1	0
+s_7794	C3orf18	1	0
+s_54846	SVIL	1	0
+s_62273	XPA	1	0
+s_45859	RACGAP1	1	0
+s_53626	SPOCK3	1	0
+s_43295	PPAP2C	7	0
+s_11788	CHRDL1	2	0
+s_50636	SHQ1	1	0
+s_16705	DPF1	1	0
+s_39741	OTOF	1	0
+s_27505	INHBE	1	0
+s_707	ACPL2	1	0
+s_15418	DDX3Y	6	0
+s_56018	TEAD4	1	0
+s_44367	PRR12	1	0
+s_25875	HOXB5	1	0
+s_49360	SCN9A	1	0
+s_16244	DMPK	1	0
+s_3909	ASCC2	1	0
+s_55088	SYT6	1	1
+s_54311	STAU1	1	0
+s_53890	SRP72	1	0
+s_11035	CDX1	1	0
+s_18178	EMR3	2	0
+s_16084	DLD	1	0
+s_47207	RHOBTB1	1	0
+s_40267	PARK2	6	0
+s_43104	POLR3B	1	0
+s_2200	AMDHD2	1	0
+s_12738	CNRIP1	1	0
+s_17842	EIF4A3	1	0
+s_57950	TMPRSS3	1	0
+s_62146	WRN	1	0
+s_11055	CEACAM1	1	0
+s_54580	STX2	1	0
+s_29277	KIAA1407	1	0
+s_33428	MEF2A	1	0
+s_59797	TUBB	1	0
+s_18113	EME1	1	1
+s_29839	KLHL8	1	0
+s_18058	ELP2	1	0
+s_49497	SDCBP2	3	0
+s_16874	DRP2	1	0
+s_13572	CREBL2	1	0
+s_20540	FBXO30	1	0
+s_64380	ZNF646	1	0
+s_50366	SH2B1	1	0
+s_2548	ANKRD33B	1	0
+s_41183	PDXP	1	1
+s_16315	DNAH12	1	0
+s_19996	FAM49B	1	0
+s_30751	LDLRAD3	1	0
+s_36960	NGEF	1	0
+s_39015	OR2A2	1	0
+s_26302	HSPB2	1	0
+s_64297	ZNF611	5	0
+s_730	ACSBG1	1	0
+s_50271	SFXN4	1	0
+s_8592	CA6	2	0
+s_13683	CRMP1	1	0
+s_51103	SLC16A7	1	0
+s_63785	ZNF384	1	0
+s_16339	DNAH9	1	0
+s_55936	TCTEX1D1	1	0
+s_14497	CXorf40A	1	0
+s_1123	ADAT1	1	0
+s_41304	PERP	1	0
+s_18719	ESAM	1	0
+s_35118	MSX2	1	0
+s_30128	KRT6A	1	0
+s_402	ABTB1	1	0
+s_32578	MAP1LC3A	1	0
+s_45063	PTMA	1	2
+s_43551	PPP1R14D	1	0
+s_2538	ANKRD32	1	0
+s_40384	PAX1	1	0
+s_29076	KIAA0101	1	0
+s_40482	PCDH10	1	0
+s_2348	ANGPT2	1	0
+s_59756	TTYH3	1	0
+s_34330	MOB4	1	0
+s_49331	SCN2B	1	0
+s_54905	SYDE1	1	0
+s_39101	OR2T1	1	0
+s_36623	NEDD4L	1	0
+s_40500	PCDH15	2	2
+s_10660	CDC42SE2	1	0
+s_30867	LGALS13	1	0
+s_24322	GSTK1	2	0
+s_59167	TRPC1	1	0
+s_57440	TMEM201	1	0
+s_50539	SHC1	1	0
+s_37087	NIT1	1	0
+s_56345	TGFB2	1	1
+s_55388	TARM1	1	0
+s_1224	ADD2	1	0
+s_5256	BCOR	2	0
+s_51731	SLC35B3	1	1
+s_12987	COL6A6	1	1
+s_56745	TJP3	1	0
+s_19340	FAM120AOS	1	0
+s_53904	SRPR	1	0
+s_1588	AGXT	1	0
+s_46157	RASA3	1	0
+s_19166	FABP3	7	0
+s_22330	GATM	1	0
+s_10731	CDH13	1	0
+s_2329	ANAPC5	1	0
+s_46045	RANGAP1	1	0
+s_54814	SUV39H2	1	0
+s_56169	TEX14	1	0
+s_3433	ARHGEF26	1	0
+s_48032	RP4-811H24.6	1	0
+s_51930	SLC41A3	1	0
+s_63893	ZNF433	1	1
+s_46996	RGCC	1	0
+s_13863	CSF3R	1	0
+s_26337	HSPH1	1	0
+s_12983	COL6A3	1	0
+s_1376	ADSS	1	0
+s_45449	PYHIN1	1	0
+s_49629	SEC22C	1	0
+s_20204	FAM86A	1	0
+s_24920	HDAC9	1	0
+s_14961	DAPK1	1	1
+s_23900	GPR98	2	0
+s_14485	CXorf27	1	0
+s_61808	WDR66	1	2
+s_55855	TCF7	1	0
+s_44652	PSG8	1	0
+s_46608	RCCD1	1	0
+s_61175	VCAM1	1	0
+s_27453	INCA1	1	0
+s_28987	KDM4C	1	0
+s_20613	FBXO7	1	0
+s_7715	C2orf70	3	1
+s_3902	ASB9	1	0
+s_64098	ZNF534	1	0
+s_31108	LIN7B	1	0
+s_3383	ARHGEF1	1	0
+s_7626	C2orf43	1	0
+s_52247	SLC8A1	1	0
+s_54498	STOX1	1	0
+s_12160	CLDN17	1	0
+s_16224	DMD	1	0
+s_41715	PHLDB2	1	0
+s_12197	CLDN7	1	0
+s_51239	SLC22A16	1	0
+s_41286	PEPD	1	0
+s_2367	ANGPTL4	1	0
+s_59289	TSC22D4	1	0
+s_22437	GCFC2	1	0
+s_24343	GSTO2	1	0
+s_32783	MAPKAPK5	1	0
+s_37032	NINJ1	1	0
+s_49065	SASH3	1	0
+s_60466	UGT1A1	1	0
+s_26043	HPSE2	2	0
+s_21199	FLNA	1	0
+s_41054	PDGFRA	1	0
+s_1820	AKNA	1	0
+s_19548	FAM166A	1	0
+s_43967	PRDX5	1	0
+s_51905	SLC39A8	1	0
+s_22723	GGT5	5	0
+s_13242	COX6C	1	0
+s_27668	IP6K1	1	0
+s_64491	ZNF692	1	0
+s_61982	WHSC1L1	2	0
+s_48495	RSAD1	1	0
+s_34351	MOCS3	1	0
+s_12069	CLCA1	3	0
+s_22023	GABRR1	1	0
+s_12812	COASY	2	0
+s_40068	PAIP1	1	0
+s_11513	CGREF1	2	0
+s_32119	LY6K	1	0
+s_60743	UQCR11	1	0
+s_56354	TGFBR1	1	0
+s_3062	APOL2	1	0
+s_20525	FBXO25	1	0
+s_55591	TBC1D7	1	0
+s_14987	DARS2	1	0
+s_63195	ZMAT2	1	0
+s_41936	PIK3C2G	1	0
+s_56092	TEP1	1	0
+s_61284	VIT	1	1
+s_10035	CCND2	1	0
+s_43744	PPP6R3	2	1
+s_48110	RPL10L	1	0
+s_39381	OR5H15	1	0
+s_6827	C17orf90	2	0
+s_8795	CADPS	1	1
+s_55301	TAF9	1	0
+s_25756	HNRNPM	1	0
+s_61177	VCAN	1	0
+s_22932	GLB1	1	0
+s_55751	TCEA2	1	0
+s_39419	OR5T3	1	0
+s_33669	MEX3A	1	0
+s_42714	PLXNC1	1	0
+s_23239	GNAT1	1	0
+s_4546	ATPAF1	1	0
+s_64432	ZNF671	1	0
+s_31346	LOXHD1	1	0
+s_46353	RBFOX2	1	0
+s_8848	CALHM2	1	0
+s_27039	IL12RB1	1	0
+s_62824	ZCCHC9	1	0
+s_7498	C20orf96	1	1
+s_43406	PPIE	1	0
+s_54925	SYN1	1	2
+s_27284	IL31RA	1	0
+s_63774	ZNF37A	1	0
+s_43643	PPP1R8	1	0
+s_63149	ZIC2	1	0
+s_26251	HSP90AB1	1	0
+s_46773	RELL2	1	0
+s_64868	ZP4	1	2
+s_626	ACLY	1	0
+s_40694	PCED1A	1	0
+s_15888	DHTKD1	1	0
+s_53641	SPP1	1	1
+s_21822	FXR1	1	0
+s_53660	SPR	1	0
+s_29906	KLKB1	1	0
+s_1901	ALAS2	1	0
+s_45130	PTPN2	1	0
+s_43535	PPP1R13B	2	0
+s_15855	DHRS12	1	0
+s_13602	CRH	1	0
+s_51848	SLC39A1	1	0
+s_61205	VDR	1	0
+s_18989	EXOC7	1	0
+s_22294	GATA1	2	0
+s_34584	MRAS	1	0
+s_33140	MCFD2	1	0
+s_34546	MPST	1	0
+s_27208	IL21R	1	0
+s_14576	CYB5R4	1	0
+s_43745	PPP6R3	1	0
+s_41675	PHF8	1	0
+s_41243	PEBP4	2	0
+s_42685	PLXNA1	1	0
+s_41585	PHB2	1	0
+s_47989	RP1L1	1	0
+s_42300	PLA2G6	1	0
+s_53387	SPATA6L	1	1
+s_15423	DDX4	1	0
+s_64039	ZNF506	5	0
+s_22276	GAS6	1	0
+s_15373	DDX19B	1	0
+s_4322	ATP2B2	1	0
+s_25787	HOMER1	1	0
+s_10739	CDH16	1	0
+s_51702	SLC34A3	1	2
+s_20623	FBXO9	2	0
+s_13244	COX6C	1	0
+s_35367	MTX2	1	0
+s_5681	BPIFB6	1	0
+s_57337	TMEM176A	1	0
+s_43464	PPM1F	1	0
+s_20530	FBXO28	1	1
+s_55958	TDGF1	1	0
+s_4516	ATP7B	1	1
+s_19128	F8	1	0
+s_40084	PAK1IP1	1	0
+s_29430	KIF20B	1	0
+s_14773	CYP46A1	1	0
+s_19102	F2R	1	0
+s_29306	KIAA1524	2	0
+s_11438	CETN3	1	1
+s_49647	SEC24D	1	0
+s_35891	NAA11	1	0
+s_10770	CDH23	2	1
+s_44838	PSMG2	1	0
+s_22687	GGCT	1	0
+s_14266	CTSW	1	0
+s_38451	NXF3	1	0
+s_60012	TYRP1	1	0
+s_13190	COTL1	1	0
+s_4721	AZI2	1	0
+s_28800	KCNMB3	1	0
+s_23136	GM2A	1	0
+s_31806	LRRC71	1	0
+s_11862	CHRNG	2	0
+s_52893	SNX12	1	0
+s_31960	LSM5	1	0
+s_3273	ARHGAP22	1	0
+s_22140	GALNT2	1	1
+s_36663	NEK1	1	0
+s_45974	RALB	1	0
+s_48582	RTCA	1	0
+s_27173	IL1RL1	1	0
+s_49800	SEMA6D	1	0
+s_18249	ENOPH1	1	0
+s_31609	LRRC10B	1	0
+s_6450	C14orf176	1	0
+s_42314	PLAC1L	1	0
+s_7822	C3orf27	1	0
+s_43695	PPP2R5C	1	0
+s_8939	CAMKV	1	0
+s_58681	TRAF7	1	0
+s_12850	COG6	1	0
+s_20936	FGF3	1	0
+s_10862	CDK17	1	0
+s_60046	UAP1	1	0
+s_42295	PLA2G5	1	0
+s_52045	SLC4A9	1	0
+s_18532	EPS8L3	1	0
+s_15737	DFNB31	1	0
+s_12691	CNOT4	1	0
+s_27651	INTS7	1	0
+s_52454	SLX4	1	0
+s_5507	BMF	1	0
+s_57583	TMEM25	1	0
+s_36267	NCK2	1	0
+s_15361	DDX17	1	0
+s_24303	GSS	1	0
+s_11095	CEBPB	2	0
+s_59318	TSG101	1	0
+s_35897	NAA16	1	1
+s_11714	CHMP3	1	0
+s_7217	C1orf186	1	0
+s_14282	CTU1	1	0
+s_53137	SOX15	1	0
+s_30977	LHX3	1	0
+s_825	ACTL6A	1	0
+s_33214	MCOLN3	1	0
+s_57706	TMEM55B	1	0
+s_41619	PHF12	1	0
+s_13595	CREM	1	0
+s_30523	LARP4	1	0
+s_6229	C11orf68	1	0
+s_17880	EIF4G2	1	0
+s_36676	NEK3	1	0
+s_23667	GPR123	1	0
+s_1296	ADORA1	1	0
+s_18235	ENHO	1	0
+s_20589	FBXO45	1	0
+s_31341	LOX	1	0
+s_20983	FGFR2	1	0
+s_44192	PRLR	1	0
+s_62014	WIPI2	1	0
+s_2585	ANKRD45	1	0
+s_14161	CTLA4	1	0
+s_63079	ZFYVE1	1	0
+s_7088	C1orf106	1	0
+s_10461	CD55	1	0
+s_24803	HBM	1	0
+s_52929	SNX21	1	0
+s_40041	PAFAH2	1	0
+s_17056	DUSP15	1	0
+s_61656	WDR12	1	0
+s_28830	KCNQ3	2	0
+s_44745	PSMB9	1	0
+s_16151	DLGAP5	1	1
+s_17799	EIF2S3	1	0
+s_49444	SCTR	1	0
+s_37203	NLGN3	1	0
+s_63798	ZNF385D	1	1
+s_42282	PLA2G4D	1	0
+s_27383	ILF3	1	0
+s_40974	PDE4DIP	1	0
+s_55037	SYT1	1	0
+s_52560	SMC6	1	0
+s_56910	TM9SF2	1	0
+s_64839	ZNHIT6	2	0
+s_20818	FES	1	0
+s_16789	DPY19L3	1	0
+s_46072	RAP2A	1	0
+s_24369	GTDC1	1	0
+s_5332	BEST3	1	0
+s_15793	DGKG	2	0
+s_13197	COX11	1	0
+s_1613	AHCYL1	1	0
+s_62445	YLPM1	1	0
+s_5441	BIN3	1	0
+s_20572	FBXO41	1	0
+s_26507	IBSP	1	0
+s_17166	DYNC2H1	1	0
+s_37694	NPNT	1	0
+s_62561	ZBP1	1	0
+s_28074	ITGB3BP	1	0
+s_13046	COMMD4	1	0
+s_4936	BAIAP3	1	0
+s_16345	DNAI1	2	1
+s_60141	UBE2D4	1	0
+s_34569	MPZL3	1	0
+s_35839	MYRIP	1	0
+s_42840	PNN	1	0
+s_64147	ZNF558	1	1
+s_21759	FUCA2	1	0
+s_62347	XYLB	1	0
+s_41049	PDGFD	1	0
+s_19760	FAM198B	1	0
+s_4944	BAMBI	1	0
+s_59471	TSSC1	1	0
+s_60224	UBE2T	1	0
+s_62753	ZC3H6	1	0
+s_29129	KIAA0355	1	0
+s_43266	PPA2	1	0
+s_48165	RPL31	1	1
+s_25918	HOXC8	1	0
+s_61309	VMO1	1	0
+s_29649	KLF5	1	0
+s_3093	APP	1	0
+s_59201	TRPM2	2	0
+s_31154	LIPH	1	0
+s_43571	PPP1R17	1	0
+s_58112	TNFRSF25	1	0
+s_22767	GHRL	1	0
+s_59817	TUBB6	1	0
+s_63192	ZMAT1	1	0
+s_7306	C1orf49	1	0
+s_37585	NOX5	1	0
+s_57817	TMEM87B	1	0
+s_3667	ARNTL2	1	0
+s_14264	CTSS	1	0
+s_61283	VIT	1	0
+s_35482	MXD3	2	0
+s_54197	STAC2	1	0
+s_54806	SUSD5	1	0
+s_22238	GAPT	1	0
+s_62113	WNT8A	1	0
+s_54543	STRN4	1	0
+s_33235	MDC1	1	0
+s_63489	ZNF224	1	0
+s_37914	NRG1	1	1
+s_36452	NDUFA3	1	0
+s_12262	CLEC3B	1	0
+s_25	AAAS	1	0
+s_50339	SGPP2	1	0
+s_30706	LDB1	1	0
+s_49357	SCN8A	1	0
+s_33618	METTL21D	1	0
+s_4402	ATP5O	1	0
+s_55017	SYNRG	1	0
+s_51299	SLC23A3	1	0
+s_34572	MR1	2	0
+s_49259	SCGB3A1	1	0
+s_17794	EIF2S1	1	0
+s_47977	RP11-744I24.1	1	0
+s_32701	MAP7	1	0
+s_32432	MAGI3	1	0
+s_36564	NDUFS6	1	0
+s_11527	CHAC1	1	0
+s_56181	TEX22	1	0
+s_714	ACPT	1	0
+s_51144	SLC18A1	1	0
+s_57122	TMEM117	1	0
+s_28872	KCTD1	1	0
+s_63600	ZNF28	1	0
+s_57369	TMEM182	1	0
+s_60388	UCK1	1	0
+s_47188	RHEB	1	0
+s_15237	DCTD	1	0
+s_42694	PLXNA4	1	0
+s_19680	FAM187B	1	0
+s_35378	MUC1	1	0
+s_38682	OGG1	1	0
+s_1085	ADAMTS9	1	0
+s_40910	PDE1A	1	0
+s_27956	ISOC2	1	0
+s_27821	IRAK1	1	0
+s_16210	DMBT1	1	1
+s_63398	ZNF184	1	0
+s_18679	ERMP1	1	0
+s_9161	CASC1	2	0
+s_45196	PTPRF	1	0
+s_23002	GLIS2	1	0
+s_17310	EBP	1	0
+s_54797	SUSD3	1	0
+s_1528	AGPAT4	1	0
+s_7045	C1QTNF6	1	0
+s_22952	GLCE	1	0
+s_7105	C1orf111	1	0
+s_36537	NDUFC1	1	0
+s_15359	DDX11	1	1
+s_32881	MARK3	1	0
+s_27486	INHA	1	0
+s_2399	ANK2	1	0
+s_60825	USP10	1	0
+s_20838	FEZ2	1	0
+s_43974	PREB	1	0
+s_16482	DNAJC5G	1	0
+s_26334	HSPG2	1	0
+s_46175	RASD1	1	0
+s_26764	IFT20	1	0
+s_14739	CYP2J2	1	0
+s_11386	CERS2	1	0
+s_5964	BTN1A1	1	0
+s_16810	DPYSL3	1	0
+s_16136	DLGAP2	1	0
+s_13401	CPPED1	1	0
+s_22359	GBGT1	1	0
+s_49575	SDSL	1	0
+s_62067	WNT16	1	1
+s_61863	WDR83OS	1	0
+s_44742	PSMB8	2	0
+s_31855	LRRFIP2	1	0
+s_528	ACADM	1	0
+s_13073	COPA	1	0
+s_32741	MAPK3	1	0
+s_38779	OPA3	1	0
+s_34827	MRPS17	1	0
+s_16969	DTX1	1	0
+s_56448	THAP4	1	0
+s_906	ACVR2A	1	0
+s_45078	PTP4A2	1	0
+s_23628	GPR101	1	0
+s_58510	TPD52L1	1	0
+s_561	ACAT2	1	0
+s_52492	SMAP2	1	0
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+s_47343	RIMS4	1	0
+s_56575	THUMPD1	1	0
+s_3261	ARHGAP18	1	0
+s_8148	C6orf165	1	0
+s_17030	DUSP10	1	1
+s_56155	TEX101	1	0
+s_21191	FLI1	1	0
+s_50732	SIK1	1	0
+s_2914	APCDD1	1	0
+s_30717	LDB3	1	0
+s_4702	AXIN1	2	0
+s_21360	FNIP2	1	0
+s_54350	STEAP4	1	0
+s_57227	TMEM14A	2	0
+s_58177	TNIK	1	0
+s_7465	C20orf26	2	0
+s_17327	ECE2	1	0
+s_51639	SLC30A10	1	0
+s_4352	ATP5A1	1	0
+s_18616	ERCC8	1	0
+s_44043	PRIMA1	1	0
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+s_2680	ANO4	1	0
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+s_52365	SLCO5A1	1	0
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+s_23427	GON4L	1	0
+s_13427	CPSF3L	1	0
+s_40193	PAPD7	1	0
+s_21543	FPGT	2	0
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+s_40078	PAIP2B	1	1
+s_60284	UBL5	1	0
+s_59936	TXNDC15	1	0
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+s_44833	PSMG1	2	1
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+s_19478	FAM151A	1	0
+s_30185	KRTAP1-3	1	0
+s_61742	WDR45	1	0
+s_7252	C1orf212	1	0
+s_29507	KIF9	1	0
+s_2786	AP1G1	1	0
+s_21222	FLT1	1	0
+s_38408	NUP93	1	1
+s_60875	USP25	1	0
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+s_54470	STOML1	1	0
+s_19064	EYA4	1	0
+s_41060	PDGFRL	1	0
+s_32049	LUC7L	1	0
+s_11837	CHRNA9	1	0
+s_64166	ZNF563	1	0
+s_11211	CENPK	1	0
+s_63097	ZFYVE21	1	0
+s_24757	HAUS4	1	0
+s_4190	ATG7	1	1
+s_48629	RTN4	1	0
+s_22880	GJB3	1	0
+s_44427	PRR7	1	0
+s_464	AC069154.2	1	0
+s_22093	GALC	1	0
+s_55367	TAPBP	1	0
+s_56672	TIMM22	1	0
+s_22286	GAS7	1	0
+s_45341	PVR	1	0
+s_34498	MPL	1	0
+s_60077	UBA7	3	0
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+s_15576	DEFB125	1	0
+s_44098	PRKAR2B	3	0
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+s_12662	CNNM3	1	0
+s_51149	SLC18A2	1	0
+s_42223	PKP4	1	0
+s_31072	LIMK1	1	0
+s_6339	C12orf53	1	0
+s_26400	HTR3E	1	0
+s_43315	PPARD	1	0
+s_28264	JAM3	1	0
+s_33927	MIER1	1	0
+s_11251	CEP104	1	0
+s_33388	MED24	1	0
+s_53844	SRGAP1	1	0
+s_40003	PACSIN2	1	0
+s_5428	BIK	1	0
+s_28459	KAZN	1	0
+s_12578	CNBP	1	0
+s_20731	FCRL3	1	0
+s_41692	PHKB	3	0
+s_13730	CRTC2	1	1
+s_50741	SIKE1	2	0
+s_10340	CD276	1	0
+s_42441	PLD6	1	0
+s_32600	MAP2K1	2	0
+s_21836	FXYD3	5	2
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+s_35593	MYH10	1	0
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+s_52258	SLC8A3	2	0
+s_52898	SNX14	1	0
+s_25618	HMGCS1	1	0
+s_5068	BBS9	1	0
+s_4389	ATP5J	1	1
+s_49674	SEC62	1	0
+s_10264	CD1D	1	0
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+s_64923	ZSCAN22	1	0
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+s_33740	MFSD11	1	0
+s_2779	AP000892.1	1	0
+s_12703	CNOT7	1	0
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+s_9124	CARD8	1	0
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+s_38814	OPRD1	1	0
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+s_29225	KIAA1147	1	0
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+s_3339	ARHGAP35	1	0
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+s_9791	CCDC69	1	0
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+s_42606	PLK4	2	0
+s_55148	TAB1	1	0
+s_64628	ZNF772	1	0
+s_10616	CDC34	1	0
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+s_17055	DUSP15	1	0
+s_6922	C19orf44	1	0
+s_42494	PLEKHF2	1	0
+s_2104	ALPK1	1	0
+s_17640	EGFR	1	0
+s_37797	NR1H3	1	0
+s_23299	GNG3	1	0
+s_9517	CCDC125	1	0
+s_7562	C22orf42	1	0
+s_38149	NTNG1	1	0
+s_64633	ZNF774	1	0
+s_34420	MORN3	1	0
+s_56144	TET2	1	0
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+s_1765	AKAP13	1	0
+s_6189	C11orf45	1	0
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+s_3484	ARID1B	1	0
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+s_64395	ZNF655	1	0
+s_54556	STUB1	1	0
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+s_38266	NUDT17	1	1
+s_63517	ZNF233	1	0
+s_5435	BIN1	3	0
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+s_19210	FAHD2A	1	0
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+s_47908	RP11-173D9.3	1	0
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+s_13958	CSPP1	1	0
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+s_2427	ANKH	1	0
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+s_49666	SEC61A2	2	0
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+s_45250	PTPRU	1	0
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+s_35505	MYB	1	0
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+s_44496	PRSS22	1	0
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+s_56222	TFAP2A	1	1
+s_46417	RBM22	1	0
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+s_30504	LAPTM4A	1	0
+s_49873	4-Sep	1	0
+s_22231	GAPDH	1	0
+s_24866	HCRT	1	0
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+s_266	ABCG8	1	0
+s_31387	LPCAT1	1	0
+s_38114	NTF3	1	0
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+s_14163	CTNNA1	1	0
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+s_62985	ZFHX3	1	0
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+s_5344	BET1	1	0
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+s_118	ABCA12	1	0
+s_12481	CLUL1	1	0
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+s_39614	OS9	1	0
+s_22342	GBA2	1	0
+s_1136	ADC	1	0
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+s_4512	ATP7A	1	0
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+s_54497	STOX1	1	0
+s_46754	REG4	1	0
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+s_63316	ZNF138	1	0
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+s_52161	SLC6A4	1	0
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+s_32324	MAD2L1BP	1	0
+s_26149	HSD11B1L	1	1
+s_62941	ZFAND1	1	0
+s_306	ABHD16A	1	0
+s_42173	PKIG	1	0
+s_33499	MEOX1	1	1
+s_2639	ANKS1A	1	0
+s_9221	CASP4	2	2
+s_60951	USP48	1	0
+s_42487	PLEKHB2	1	0
+s_12463	CLTB	1	0
+s_17140	DYDC2	1	0
+s_15238	DCTD	1	0
+s_32766	MAPK8IP3	1	0
+s_6844	C18orf1	1	0
+s_29768	KLHL25	1	0
+s_58192	TNIP3	1	0
+s_26239	HSF4	1	0
+s_14209	CTRL	1	0
+s_7539	C22orf25	1	0
+s_21263	FMNL3	1	0
+s_56798	TLK1	1	0
+s_30163	KRT80	1	0
+s_28530	KCNAB1	1	0
+s_50079	SESN2	1	0
+s_17622	EGFL7	1	0
+s_27107	IL17RE	1	0
+s_61128	VASH2	1	0
+s_7629	C2orf44	1	0
+s_59045	TRIML2	1	0
+s_53186	SP110	1	0
+s_44696	PSMA8	1	0
+s_4081	ATAT1	1	0
+s_59776	TUBA3C	1	0
+s_26981	IKBKB	1	0
+s_11984	CINP	1	0
+s_38231	NUDT1	1	0
+s_34096	MLKL	1	0
+s_39703	OSM	1	0
+s_44761	PSMC4	1	0
+s_29844	KLK1	1	0
+s_46470	RBM43	1	0
+s_21735	FTSJ1	1	0
+s_54159	ST7L	1	0
+s_29161	KIAA0586	1	0
+s_62066	WNT11	1	0
+s_32768	MAPK9	1	0
+s_38834	OPTC	1	0
+s_27041	IL12RB2	1	0
+s_25301	HIGD1C	1	0
+s_48626	RTN4	1	0
+s_2191	AMBRA1	1	0
+s_64637	ZNF775	1	0
+s_24425	GTF2IRD1	2	0
+s_28025	ITGA7	1	0
+s_21739	FTSJ2	1	0
+s_56140	TET1	1	0
+s_18340	EOGT	1	0
+s_48335	RPS6KA1	1	0
+s_8918	CAMK2N1	1	1
+s_9126	CARD8	1	0
+s_34993	MSC	1	0
+s_62519	YY1AP1	1	0
+s_17754	EIF2B2	1	0
+s_3894	ASB7	1	0
+s_1366	ADRBK2	1	0
+s_63368	ZNF169	1	0
+s_33217	MCRS1	1	0
+s_791	ACSS3	1	0
+s_3070	APOL5	1	0
+s_158	ABCB4	1	0
+s_46169	RASAL2	1	0
+s_31573	LRP3	1	0
+s_15806	DGKQ	1	0
+s_3426	ARHGEF2	1	0
+s_22505	GDAP2	1	0
+s_43731	PPP4R4	1	0
+s_62463	YPEL3	1	1
+s_1351	ADRA2A	1	0
+s_58570	TPPP	1	0
+s_27563	INPP5K	1	0
+s_64662	ZNF783	1	0
+s_43701	PPP2R5D	1	0
+s_41032	PDE9A	1	0
+s_40077	PAIP2B	1	0
+s_55106	SYTL2	1	0
+s_36104	NAT1	1	0
+s_5659	BPIFA2	1	0
+s_24738	HAS3	1	0
+s_23688	GPR135	1	0
+s_44125	PRKCI	1	0
+s_42154	PKDCC	1	0
+s_52320	SLC9B2	1	0
+s_56287	TFF1	1	0
+s_26218	HSDL1	1	0
+s_48811	S100A14	1	0
+s_27403	IMMT	1	0
+s_44547	PRSS50	1	0
+s_13554	CREB3L3	1	0
+s_52812	SNRNP35	1	0
+s_9678	CCDC28B	1	0
+s_42982	POLD4	1	0
+s_9038	CAPN3	1	0
+s_24550	GYG1	1	1
+s_7927	C4orf19	1	0
+s_59893	TWF2	1	0
+s_21776	FUS	1	0
+s_38699	OLA1	1	0
+s_15466	DDX54	1	0
+s_57105	TMEM110	1	0
+s_47396	RIPPLY2	1	0
+s_29679	KLHDC3	1	0
+s_19864	FAM214B	1	0
+s_22859	GIT2	1	0
+s_63818	ZNF397	1	0
+s_62767	ZC3HAV1	1	0
+s_30390	LAD1	1	0
+s_54683	SULT1C3	1	0
+s_29008	KDM5D	1	0
+s_24721	HARS	1	0
+s_19875	FAM217A	1	0
+s_33598	METTL18	1	0
+s_43299	PPAPDC1B	1	0
+s_23606	GPM6A	1	0
+s_8917	CAMK2G	1	0
+s_7803	C3orf22	1	0
+s_52734	SNAP91	2	0
+s_46558	RBPJL	1	1
+s_44462	PRRT2	1	0
+s_30938	LHB	1	0
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+s_1394	AEN	1	0
+s_39870	OXSR1	1	0
+s_4906	BAG6	1	0
+s_16155	DLK2	1	0
+s_35274	MTMR4	1	0
+s_10518	CD81	1	0
+s_39057	OR2F2	1	0
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+s_34638	MRPL1	1	0
+s_612	ACER3	1	0
+s_32740	MAPK3	1	0
+s_16130	DLGAP1	1	1
+s_15564	DEFB119	1	0
+s_41047	PDGFC	1	0
+s_30824	LEPRE1	1	0
+s_19702	FAM189B	1	0
+s_16740	DPM3	1	0
+s_13557	CREB3L4	1	0
+s_10008	CCNA1	1	1
+s_58486	TP73	1	0
+s_18717	ESAM	1	0
+s_63612	ZNF280D	1	0
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+s_59449	TSPO2	1	0
+s_42709	PLXNB3	1	0
+s_39221	OR4M2	1	0
+s_49750	SEMA3F	1	0
+s_8476	C9orf3	1	1
+s_45561	RAB11A	1	1
+s_5542	BMP5	1	0
+s_1064	ADAMTS4	1	0
+s_5354	BET3L	1	0
+s_17631	EGFLAM	1	0
+s_36593	NEBL	1	0
+s_6085	C10orf2	1	0
+s_13428	CPSF3L	1	0
+s_25023	HECW1	1	0
+s_3641	ARMC9	1	0
+s_56315	TFPT	1	0
+s_3278	ARHGAP22	1	0
+s_49946	SERPINA1	1	0
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+s_26065	HRCT1	1	0
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+s_22971	GLI1	1	0
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+s_28841	KCNQ5	1	0
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+s_57951	TMPRSS4	1	0
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+s_54412	STK32B	1	0
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+s_54291	STAT4	1	0
+s_24419	GTF2I	1	0
+s_45973	RALB	1	0
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+s_21871	FZD10	1	0
+s_1850	AKR1C4	1	0
+s_6867	C18orf54	1	0
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+s_22242	GAPVD1	1	0
+s_32713	MAP7D3	1	0
+s_49953	SERPINA12	1	0
+s_55916	TCP11	1	0
+s_56174	TEX19	1	0
+s_22072	GAL	1	0
+s_41033	PDE9A	1	1
+s_26471	HYAL3	1	1
+s_60244	UBE2Z	1	0
+s_12589	CNEP1R1	1	0
+s_29896	KLK8	1	0
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+s_39346	OR5AP2	1	0
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+s_48577	RTBDN	1	0
+s_32146	LYAR	1	0
+s_26382	HTR3C	1	0
+s_33001	MBD1	1	0
+s_41972	PIK3R2	1	0
+s_33212	MCOLN3	1	0
+s_35423	MUL1	1	0
+s_7838	C3orf35	1	0
+s_51092	SLC16A4	1	0
+s_20336	FASTK	1	0
+s_33469	MEI1	1	0
+s_5549	BMP7	1	0
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+s_26322	HSPBAP1	1	0
+s_31244	LMNA	1	0
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+s_52892	SNX12	1	0
+s_25799	HOOK2	1	0
+s_55486	TAX1BP1	1	1
+s_4351	ATP5A1	1	0
+s_49917	SERHL2	1	0
+s_46614	RCHY1	1	0
+s_62680	ZBTB7B	1	0
+s_49488	SDCBP	1	0
+s_21866	FYTTD1	1	0
+s_23092	GLTPD1	1	0
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+s_9223	CASP5	1	1
+s_38310	NUDT8	1	0
+s_7059	C1QTNF9B	1	0
+s_33162	MCM3AP	1	0
+s_8498	C9orf50	1	0
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+s_14370	CWH43	1	0
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+s_21865	FYN	1	0
+s_60042	U2SURP	1	0
+s_13930	CSNK1G3	1	0
+s_6618	C16orf53	1	0
+s_26173	HSD17B12	1	0
+s_46035	RANBP3L	1	0
+s_13167	CORO2A	1	0
+s_10481	CD6	1	0
+s_4563	ATPIF1	1	0
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+s_58390	TOR1AIP2	1	0
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+s_34536	MPPED2	1	0
+s_24336	GSTM5	1	0
+s_38670	OGFR	1	0
+s_4606	ATXN3	1	0
+s_5049	BBS12	1	0
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+s_1792	AKAP7	1	0
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+s_17847	EIF4E	1	0
+s_58327	TOMM34	1	0
+s_54101	ST3GAL3	1	0
+s_41507	PGLYRP3	1	0
+s_38705	OLAH	1	0
+s_7336	C1orf61	1	0
+s_34439	MOSPD3	1	0
+s_33343	MED12	1	0
+s_30145	KRT75	1	0
+s_7793	C3orf18	1	0
+s_13874	CSH2	1	1
+s_14274	CTTN	1	0
+s_38166	NTRK2	1	0
+s_2916	APCDD1L	1	0
+s_41582	PHB	1	0
+s_16033	DISC1	1	0
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+s_19312	FAM115C	1	0
+s_5431	BIN1	1	0
+s_44378	PRR15	1	0
+s_22113	GALNT1	1	0
+s_11744	CHN1	1	0
+s_13702	CROT	1	0
+s_14052	CT62	1	0
+s_28143	ITM2C	1	0
+s_43456	PPM1B	1	0
+s_1396	AES	1	0
+s_21931	GAB2	1	0
+s_39536	OR8J3	1	0
+s_62622	ZBTB37	1	0
+s_10417	CD3G	1	0
+s_23789	GPR176	1	0
+s_37011	NICN1	1	0
+s_55412	TAS1R2	1	0
+s_36626	NEDD4L	1	0
+s_62812	ZCCHC4	1	0
+s_18097	EMC7	1	0
+s_36145	NAV2	1	0
+s_18994	EXOG	1	0
+s_61047	UTY	1	0
+s_57912	TMPRSS11B	1	0
+s_56577	THUMPD1	1	0
+s_8419	C9orf123	1	0
+s_36127	NAT9	1	0
+s_57557	TMEM240	1	0
+s_36157	NBEA	1	0
+s_16271	DMRTA2	1	0
+s_44643	PSG4	1	0
+s_53557	SPINK8	1	0
+s_36256	NCF4	1	0
+s_46280	RASSF6	1	0
+s_47580	RNF141	1	0
+s_8514	C9orf71	1	0
+s_62629	ZBTB4	1	0
+s_4286	ATP1A3	1	1
+s_36001	NAGK	1	0
+s_38778	OPA3	1	0
+s_8907	CAMK2A	1	0
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+s_20085	FAM69B	1	0
+s_31389	LPCAT1	1	0
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+s_34962	MS4A6A	1	0
+s_12886	COL17A1	1	0
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+s_37813	NR1I3	1	0
+s_60438	UFSP1	0	1
+s_63435	ZNF200	0	2
+s_64396	ZNF655	0	1
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+s_30311	KRTAP9-3	0	1
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+s_3888	ASB6	0	1
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+s_32073	LUZP1	0	1
+s_6525	C15orf39	0	2
+s_23767	GPR161	0	1
+s_30263	KRTAP26-1	0	1
+s_15363	DDX17	0	1
+s_51344	SLC25A13	0	2
+s_57150	TMEM127	0	1
+s_5006	BAZ1A	0	1
+s_1035	ADAMTS14	0	1
+s_12177	CLDN2	0	1
+s_2968	APLP1	0	1
+s_27202	IL20RB	0	1
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+s_56373	TGIF1	0	1
+s_38212	NUCB2	0	1
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+s_11692	CHL1	0	1
+s_45600	RAB15	0	1
+s_45050	PTK2	0	1
+s_43302	PPAPDC1B	0	1
+s_6106	C10orf54	0	1
+s_15965	DIAPH3	0	1
+s_40436	PBOV1	0	1
+s_18809	ETHE1	0	1
+s_19255	FAM104B	0	1
+s_12666	CNNM3	0	1
+s_24320	GSTCD	0	1
+s_53555	SPINK6	0	1
+s_15731	DFFB	0	1
+s_27958	IST1	0	1
+s_964	ADAM18	0	2
+s_53438	SPDYC	0	1
+s_45128	PTPN18	0	1
+s_39135	OR2T8	0	1
+s_16417	DNAJC13	0	1
+s_50127	SETD7	0	1
+s_47970	RP11-6F2.7	0	1
+s_29117	KIAA0284	0	1
+s_41474	PGBD2	0	1
+s_17709	EHMT2	0	1
+s_42616	PLOD1	0	2
+s_48098	RPH3AL	0	1
+s_33131	MCF2	0	1
+s_40137	PAM	0	1
+s_43789	PQLC2	0	1
+s_64930	ZSCAN30	0	1
+s_51904	SLC39A8	0	1
+s_2509	ANKRD23	0	1
+s_52206	SLC7A14	0	1
+s_29841	KLHL8	0	1
+s_41294	PER2	0	1
+s_19006	EXOSC3	0	1
+s_58256	TNPO2	0	1
+s_62361	YAE1D1	0	1
+s_41955	PIK3CD	0	1
+s_55577	TBC1D30	0	1
+s_4898	BAG4	0	1
+s_36143	NAV2	0	1
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+s_38169	NTRK2	0	1
+s_18119	EMID1	0	1
+s_13067	COMT	0	1
+s_1101	ADAMTSL4	0	1
+s_43837	PRAMEF16	0	1
+s_23618	GPN3	0	1
+s_21231	FLT4	0	1
+s_32160	LYL1	0	1
+s_40510	PCDH19	0	1
+s_31587	LRP8	0	1
+s_63034	ZFP64	0	1
+s_41347	PEX19	0	1
+s_6849	C18orf21	0	1
+s_52784	SNIP1	0	1
+s_52587	SMG5	0	1
+s_27324	IL37	0	1
+s_27482	ING4	0	2
+s_44189	PRLR	0	2
+s_15655	DENND4A	0	1
+s_58962	TRIM50	0	1
+s_31344	LOXHD1	0	2
+s_9710	CCDC40	0	1
+s_8227	C7orf10	0	2
+s_51872	SLC39A14	0	1
+s_21627	FRMD8	0	1
+s_54092	ST3GAL3	0	1
+s_59160	TROVE2	0	1
+s_13091	COPG1	0	1
+s_23236	GNAS	0	1
+s_41084	PDIA4	0	1
+s_5437	BIN2	0	1
+s_10405	CD38	0	1
+s_58485	TP73	0	1
+s_26862	IGFBP5	0	1
+s_19747	FAM195B	0	1
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+s_27266	IL2RA	0	1
+s_16867	DRGX	0	1
+s_14425	CXCL6	0	1
+s_61344	VPS13D	0	1
+s_15385	DDX23	0	1
+s_63755	ZNF362	0	1
+s_48073	RPE	0	1
+s_47394	RIPPLY1	0	1
+s_44270	PROM1	0	2
+s_30755	LDLRAP1	0	1
+s_56873	TM4SF18	0	1
+s_35375	MUC1	0	3
+s_1212	ADD1	0	1
+s_32657	MAP3K7	0	1
+s_50692	SIGLEC10	0	1
+s_50779	SIRPB1	0	2
+s_16175	DLX1	0	1
+s_9196	CASP10	0	1
+s_15867	DHRS3	0	1
+s_15800	DGKI	0	2
+s_40392	PAX3	0	1
+s_16577	DNMT3A	0	3
+s_21887	FZD8	0	1
+s_15679	DEPDC1	0	1
+s_35396	MUC21	0	1
+s_35836	MYPOP	0	1
+s_28750	KCNK18	0	1
+s_21895	G0S2	0	1
+s_40936	PDE4A	0	1
+s_50112	SETD3	0	1
+s_62098	WNT5B	0	1
+s_63934	ZNF445	0	1
+s_46657	RDH10	0	2
+s_43629	PPP1R42	0	1
+s_37451	NOL4	0	1
+s_56646	TIMD4	0	1
+s_15017	DBF4	0	1
+s_62845	ZDHHC11	0	1
+s_8797	CADPS	0	5
+s_22741	GH1	0	3
+s_33565	METTL11B	0	1
+s_43354	PPFIA1	0	1
+s_46717	REEP1	0	2
+s_11153	CELF4	0	1
+s_42068	PISD	0	1
+s_24533	GUK1	0	2
+s_36825	NFATC2	0	1
+s_4406	ATP5S	0	1
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+s_41138	PDLIM5	0	1
+s_56167	TEX13B	0	1
+s_45707	RAB3C	0	1
+s_32418	MAGEE2	0	2
+s_14021	CSTA	0	1
+s_33218	MCRS1	0	1
+s_64627	ZNF772	0	1
+s_53535	SPINK1	0	1
+s_52617	SMO	0	1
+s_43542	PPP1R14A	0	1
+s_12120	CLCN7	0	1
+s_28288	JMJD1C	0	2
+s_14439	CXCR4	0	1
+s_52421	SLITRK4	0	1
+s_59311	TSEN54	0	1
+s_40055	PAGE2B	0	1
+s_58211	TNKS2	0	1
+s_17440	EDNRA	0	1
+s_18767	ESRRA	0	1
+s_4224	ATN1	0	1
+s_6639	C16orf62	0	1
+s_15482	DDX6	0	1
+s_47216	RHOC	0	1
+s_5618	BOK	0	1
+s_24664	HADHB	0	1
+s_3145	AQP7	0	1
+s_48066	RPAP3	0	1
+s_33750	MFSD2B	0	1
+s_55844	TCF4	0	1
+s_59859	TULP1	0	1
+s_41807	PIAS1	0	1
+s_20686	FCGR1A	0	1
+s_48512	RSC1A1	0	1
+s_17195	DYRK1B	0	1
+s_42467	PLEKHA5	0	1
+s_37430	NODAL	0	1
+s_4837	B4GALT5	0	1
+s_53055	SORBS1	0	2
+s_34503	MPND	0	1
+s_25337	HIPK4	0	2
+s_32434	MAGI3	0	1
+s_35796	MYOF	0	1
+s_8910	CAMK2B	0	1
+s_49354	SCN7A	0	1
+s_48438	RREB1	0	1
+s_1116	ADARB1	0	2
+s_41772	PHYHIPL	0	1
+s_27183	IL1RN	0	1
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+s_64898	ZSCAN10	0	1
+s_3120	AQP10	0	3
+s_64652	ZNF780A	0	1
+s_20269	FANCC	0	1
+s_30538	LARP7	0	1
+s_58690	TRAK1	0	2
+s_64871	ZPBP	0	1
+s_32	AADACL2	0	1
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+s_31415	LPHN3	0	7
+s_27571	INS	0	1
+s_19605	FAM173B	0	1
+s_56415	TGS1	0	1
+s_29897	KLK8	0	1
+s_6427	C14orf133	0	3
+s_34406	MORF4L2	0	1
+s_4972	BARHL2	0	1
+s_51613	SLC2A6	0	1
+s_39500	OR7D4	0	2
+s_40004	PACSIN2	0	1
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+s_3297	ARHGAP26	0	2
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+s_21736	FTSJ1	0	1
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+s_27330	IL4I1	0	1
+s_9925	CCL1	0	1
+s_37151	NKX2-5	0	1
+s_35519	MYBPC1	0	1
+s_10381	CD300LG	0	1
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+s_44739	PSMB8	0	1
+s_54645	SUCNR1	0	1
+s_60169	UBE2H	0	1
+s_59332	TSHB	0	1
+s_24129	GRIN2D	0	1
+s_40487	PCDH11X	0	1
+s_59717	TTLL6	0	1
+s_19048	EXTL2	0	1
+s_16675	DOPEY1	0	1
+s_40227	PAQR5	0	1
+s_9584	CCDC149	0	1
+s_1609	AHCY	0	1
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+s_17959	ELF5	0	1
+s_54292	STAT5A	0	3
+s_2464	ANKRD10	0	1
+s_32012	LTBP1	0	1
+s_26858	IGFBP4	0	1
+s_10582	CDC14B	0	1
+s_5253	BCO2	0	1
+s_63746	ZNF354B	0	1
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+s_32521	MAN2B1	0	1
+s_58237	TNNT1	0	1
+s_32773	MAPKAP1	0	1
+s_42321	PLAC8L1	0	2
+s_16798	DPYD	0	2
+s_7674	C2orf57	0	1
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+s_44091	PRKAR1B	0	1
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+s_62257	XKR6	0	1
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+s_62657	ZBTB47	0	2
+s_61173	VCAM1	0	1
+s_18908	EVL	0	1
+s_55709	TBX21	0	1
+s_19254	FAM104A	0	1
+s_32407	MAGEC3	0	1
+s_27828	IRAK2	0	1
+s_42751	PML	0	1
+s_14894	DAB2IP	0	1
+s_5588	BNIP2	0	1
+s_54054	SSTR5	0	1
+s_60209	UBE2Q2	0	2
+s_33476	MEIS2	0	1
+s_4925	BAIAP2	0	1
+s_36282	NCKAP5	0	1
+s_24146	GRIP1	0	1
+s_804	ACTB	0	1
+s_6068	C10orf125	0	1
+s_56819	TLR10	0	2
+s_12576	CNBP	0	1
+s_31007	LIAS	0	1
+s_13123	COQ2	0	1
+s_39747	OTOF	0	1
+s_61341	VPS13C	0	1
+s_61367	VPS29	0	1
+s_14189	CTNND2	0	1
+s_49859	12-Sep	0	1
+s_26290	HSPA8	0	1
+s_54866	SWT1	0	1
+s_11222	CENPM	0	1
+s_60614	UNC119	0	4
+s_14226	CTSC	0	1
+s_12187	CLDN25	0	1
+s_54684	SULT1C3	0	1
+s_3938	ASGR2	0	1
+s_53109	SOSTDC1	0	1
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+s_29590	KLC3	0	1
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+s_9868	CCDC89	0	1
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+s_35811	MYOM3	0	2
+s_37972	NRSN2	0	1
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+s_1127	ADAT2	0	1
+s_57288	TMEM164	0	1
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+s_38963	OR1A2	0	1
+s_14467	CXXC5	0	1
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+s_16866	DRGX	0	1
+s_61739	WDR44	0	1
+s_38225	NUDCD2	0	1
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+s_5974	BTN3A1	0	1
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+s_46581	RCAN1	0	1
+s_36044	NANS	0	1
+s_31011	LIF	0	1
+s_61640	WDHD1	0	1
+s_6814	C17orf80	0	1
+s_26557	ICT1	0	1
+s_8879	CALR	0	1
+s_18125	EMILIN1	0	1
+s_20635	FBXW2	0	1
+s_60517	UGT2A1	0	2
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+s_43060	POLR2C	0	1
+s_18739	ESM1	0	3
+s_35923	NAA60	0	1
+s_8930	CAMKK1	0	1
+s_13198	COX11	0	1
+s_42392	PLCH1	0	1
+s_46827	RERGL	0	1
+s_44808	PSMD8	0	1
+s_27580	INSIG1	0	1
+s_8403	C9orf100	0	1
+s_31142	LIPF	0	1
+s_37816	NR2C1	0	1
+s_64241	ZNF586	0	1
+s_4457	ATP6V0E2	0	1
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+s_34151	MLXIPL	0	1
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+s_4209	ATL2	0	1
+s_3146	AQP8	0	1
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+s_24916	HDAC8	0	1
+s_31550	LRP12	0	1
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+s_38825	OPRM1	0	1
+s_34294	MNT	0	2
+s_31279	LMOD1	0	1
+s_28463	KAZN	0	1
+s_7341	C1orf63	0	1
+s_3544	ARL16	0	1
+s_42148	PKD2L2	0	1
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+s_37222	NLRC4	0	1
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+s_3841	ASB11	0	1
+s_63935	ZNF446	0	1
+s_44726	PSMB5	0	1
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+s_4507	ATP6V1H	0	1
+s_3526	ARL11	0	1
+s_60851	USP19	0	1
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+s_64393	ZNF655	0	1
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+s_32844	6-Mar	0	1
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+s_56006	TEAD2	0	1
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+s_54772	SUPV3L1	0	1
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+s_55464	TAS2R8	0	1
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+s_913	ACY1	0	1
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+s_5655	BPIFA1	0	1
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+s_37655	NPHP1	0	1
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+s_30870	LGALS14	0	2
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+s_38097	NT5DC2	0	1
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+s_5857	BSPRY	0	1
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+s_47969	RP11-6F2.7	0	1
+s_10594	CDC20B	0	1
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+s_63594	ZNF276	0	2
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+s_51528	SLC26A9	0	2
+s_27347	IL6R	0	1
+s_11294	CEP41	0	1
+s_41027	PDE8B	0	1
+s_32689	MAP6	0	2
+s_42792	PNCK	0	1
+s_34944	MS4A14	0	1
+s_54480	STON1	0	1
+s_49799	SEMA6D	0	1
+s_42215	PKP3	0	1
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+s_11877	CHST13	0	2
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+s_58668	TRAF3IP2	0	1
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+s_1450	AGA	0	1
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+s_30864	LGALS12	0	1
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+s_19728	FAM193A	0	1
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+s_32131	LY75-CD302	0	1
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+s_18145	EML2	0	2
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+s_49599	SEC14L2	0	1
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+s_49297	SCML1	0	1
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+s_55868	TCHH	0	1
+s_6592	C16orf13	0	1
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+s_2729	ANXA11	0	1
+s_600	ACE	0	1
+s_19744	FAM195B	0	1
+s_15563	DEFB119	0	1
+s_46848	RETNLB	0	1
+s_46976	RFXANK	0	1
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+s_18600	ERCC4	0	1
+s_56297	TFG	0	1
+s_30446	LAMC1	0	1
+s_2092	ALOX5AP	0	1
+s_63905	ZNF438	0	1
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+s_2497	ANKRD18A	0	1
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+s_27215	IL22RA1	0	1
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+s_64137	ZNF554	0	1
+s_5492	BLOC1S3	0	1
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+s_23343	GNPDA1	0	1
+s_40120	PALM	0	1
+s_38567	OBSL1	0	1
+s_6794	C17orf72	0	1
+s_12522	CMPK2	0	1
+s_27693	IP6K3	0	1
+s_62249	XKR3	0	1
+s_17374	ECT2	0	1
+s_25606	HMGCL	0	1
+s_14107	CTD-2616J11.4	0	1
+s_18531	EPS8L3	0	1
+s_27030	IL12A	0	1
+s_21813	FUZ	0	1
+s_1766	AKAP14	0	1
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+s_56118	TES	0	1
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+s_60449	UGDH	0	1
+s_49668	SEC61A2	0	1
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+s_42305	PLA2R1	0	1
+s_8699	CACNA1G	0	3
+s_44485	PRSS12	0	1
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+s_32700	MAP7	0	1
+s_5056	BBS4	0	1
+s_33958	MINA	0	1
+s_43445	PPM1A	0	1
+s_17811	EIF3E	0	1
+s_12021	CIZ1	0	2
+s_3432	ARHGEF26	0	1
+s_57409	TMEM194A	0	1
+s_31023	LIG4	0	1
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+s_58503	TPD52	0	1
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+s_9763	CCDC62	0	1
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+s_78	AARSD1	0	1
+s_13393	CPOX	0	1
+s_27868	IRF6	0	1
+s_59748	TTYH1	0	1
+s_20080	FAM65C	0	1
+s_28680	KCNJ13	0	1
+s_48414	RQCD1	0	1
+s_48874	S100Z	0	1
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+s_21781	FUT10	0	1
+s_16607	DOCK3	0	1
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+s_2238	AMMECR1L	0	2
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+s_42123	PJA1	0	1
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+s_8757	CACNG5	0	1
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+s_2306	ANAPC11	0	1
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+s_55946	TCTN1	0	1
+s_36703	NELF	0	1
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+s_61263	VIL1	0	1
+s_952	ADAM12	0	1
+s_53639	SPP1	0	1
+s_4843	B4GALT7	0	2
+s_30559	LAT	0	1
+s_29140	KIAA0430	0	1
+s_505	ACACB	0	1
+s_4041	ASTN2	0	1
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+s_3067	APOL3	0	1
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+s_64997	ZYG11A	0	1
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+s_4841	B4GALT6	0	1
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+s_27146	IL1F10	0	1
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+s_12015	CITED1	0	1
+s_63362	ZNF167	0	1
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+s_4523	ATP8A1	0	1
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+s_37863	NR4A2	0	1
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+s_37991	NRXN2	0	1
+s_49706	SELE	0	1
+s_6326	C12orf49	0	1
+s_59173	TRPC4	0	2
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+s_40925	PDE2A	0	1
+s_54078	ST14	0	1
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+s_6710	C17orf104	0	1
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+s_12433	CLRN2	0	1
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+s_14761	CYP3A4	0	1
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+s_48714	RUSC1	0	1
+s_22151	GALNT5	0	1
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+s_18772	ESRRB	0	1
+s_40089	PAK2	0	1
+s_2023	ALG3	0	1
+s_20487	FBXO11	0	1
+s_45536	R3HCC1L	0	1
+s_38516	NYX	0	1
+s_9506	CCDC120	0	2
+s_3152	AQP9	0	2
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+s_50162	SEZ6L2	0	1
+s_27111	IL17REL	0	1
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+s_45586	RAB11FIP5	0	1
+s_16629	DOCK8	0	1
+s_42663	PLSCR5	0	1
+s_34474	MPHOSPH10	0	1
+s_56805	TLL1	0	1
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+s_46328	RBBP7	0	1
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+s_10164	CCS	0	1
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+s_38525	OAS1	0	3
+s_24204	GRP	0	2
+s_40159	PANK2	0	1
+s_20377	FAXC	0	1
+s_34213	MMP2	0	1
+s_1183	ADCY5	0	1
+s_17119	DUT	0	1
+s_61695	WDR26	0	1
+s_15586	DEFB127	0	1
+s_36519	NDUFB5	0	1
+s_42051	PIP5KL1	0	1
+s_12624	CNIH2	0	1
+s_46639	RCSD1	0	1
+s_2539	ANKRD33	0	1
+s_27005	IKZF3	0	1
+s_50280	SGCA	0	1
+s_36351	NCS1	0	1
+s_34226	MMP24	0	1
+s_16149	DLGAP5	0	1
+s_11456	CFH	0	3
+s_1687	AIM1	0	1
+s_38205	NUBPL	0	1
+s_63234	ZMYM3	0	1
+s_13253	COX7A2L	0	1
+s_35478	MXD1	0	1
+s_61595	WBP2	0	1
+s_40606	PCDHB8	0	1
+s_63964	ZNF469	0	1
+s_20130	FAM73A	0	1
+s_31436	LPL	0	1
+s_47584	RNF144A	0	2
+s_60753	UQCRC2	0	1
+s_53181	SP100	0	1
+s_61587	WBP1	0	1
+s_35139	MTA1	0	1
+s_14153	CTIF	0	1
+s_45763	RAB6A	0	1
+s_54099	ST3GAL3	0	1
+s_38431	NUSAP1	0	2
+s_25692	HNF1B	0	1
+s_22608	GEMIN8	0	1
+s_51729	SLC35B3	0	1
+s_52255	SLC8A2	0	1
+s_49069	SASS6	0	1
+s_50123	SETD6	0	1
+s_9507	CCDC121	0	1
+s_59539	TTC21A	0	1
+s_33319	MECP2	0	1
+s_30738	LDHD	0	1
+s_9077	CAPSL	0	1
+s_61662	WDR16	0	1
+s_14996	DAXX	0	1
+s_12875	COL14A1	0	1
+s_50284	SGCB	0	1
+s_47946	RP11-428C6.1	0	1
+s_57531	TMEM231	0	1
+s_61531	VWA5A	0	1
+s_9646	CCDC170	0	1
+s_45601	RAB15	0	1
+s_62759	ZC3H7A	0	1
+s_3650	ARMCX4	0	1
+s_29387	KIF13A	0	1
+s_23608	GPM6B	0	1
+s_44746	PSMB9	0	1
+s_15182	DCLRE1A	0	1
+s_32837	4-Mar	0	1
+s_56509	THNSL1	0	1
+s_35480	MXD3	0	1
+s_31338	LOX	0	1
+s_57087	TMEM107	0	1
+s_55509	TBC1D10C	0	1
+s_3173	ARAP2	0	1
+s_55187	TACO1	0	1
+s_12856	COG8	0	1
+s_22595	GEMIN5	0	1
+s_26064	HRC	0	1
+s_20116	FAM71E1	0	1
+s_63923	ZNF442	0	1
+s_34909	MRRF	0	1
+s_42839	PNN	0	1
+s_37326	NME7	0	1
+s_28215	IYD	0	1
+s_3813	ASAP1	0	1
+s_45296	PUM1	0	1
+s_32315	MACROD2	0	1
+s_57173	TMEM132B	0	1
+s_15320	DDI1	0	1
+s_16294	DMXL2	0	1
+s_53830	SREK1	0	1
+s_44298	PRPF18	0	1
+s_8141	C6orf162	0	2
+s_17168	DYNC2LI1	0	1
+s_4703	AXIN1	0	1
+s_27760	IQCF1	0	1
+s_747	ACSL1	0	1
+s_63228	ZMYM3	0	1
+s_45729	RAB3IP	0	1
+s_59107	TRMT1L	0	1
+s_42292	PLA2G5	0	1
+s_20007	FAM53A	0	1
+s_45165	PTPN7	0	1
+s_56826	TLR3	0	1
+s_19674	FAM186A	0	1
+s_54639	SUCLG1	0	1
+s_38602	ODAM	0	1
+s_50684	SIGLEC1	0	1
+s_64638	ZNF776	0	1
+s_6736	C17orf39	0	1
+s_781	ACSS1	0	1
+s_31160	LIPJ	0	1
+s_27046	IL13	0	1
+s_1779	AKAP4	0	1
+s_15472	DDX58	0	1
+s_54588	STX5	0	1
+s_58180	TNIP1	0	1
+s_45604	RAB17	0	1
+s_52435	SLMO1	0	1
+s_18365	EPB41L1	0	2
+s_25988	HPD	0	1
+s_42446	PLEC	0	1
+s_338	ABI1	0	1
+s_32555	MANSC1	0	1
+s_46672	RDH13	0	1
+s_62171	WTAP	0	1
+s_14369	CWH43	0	1
+s_50391	SH2D3C	0	1
+s_20077	FAM65B	0	1
+s_63114	ZFYVE28	0	1
+s_60237	UBE2V2	0	1
+s_8281	C7orf59	0	1
+s_47554	RNF130	0	1
+s_48013	RP4-697K14.7	0	1
+s_6071	C10orf128	0	1
+s_10200	CCT7	0	1
+s_27995	ITGA11	0	1
+s_2807	AP2A1	0	1
+s_24199	GRM8	0	1
+s_6100	C10orf53	0	1
+s_21504	FOXP1	0	1
+s_16506	DNALI1	0	1
+s_17224	DZIP1L	0	1
+s_32656	MAP3K7	0	1
+s_37572	NOX1	0	1
+s_56684	TIMM8B	0	1
+s_42081	PITPNC1	0	1
+s_6862	C18orf34	0	1
+s_49775	SEMA4F	0	2
+s_7692	C2orf63	0	1
+s_50652	SI	0	1
+s_33885	MICAL3	0	1
+s_28725	KCNK10	0	1
+s_51660	SLC30A6	0	1
+s_31223	LMBRD2	0	1
+s_63107	ZFYVE27	0	1
+s_20176	FAM83B	0	1
+s_57873	TMF1	0	1
+s_16505	DNALI1	0	1
+s_42055	PIP5KL1	0	1
+s_8073	C5orf51	0	1
+s_45960	RAI14	0	1
+s_62975	ZFC3H1	0	1
+s_4868	BACE1	0	1
+s_2580	ANKRD44	0	1
+s_23423	GOLT1B	0	1
+s_874	ACTR8	0	1
+s_13937	CSNK2A1	0	1
+s_3791	ARV1	0	1
+s_7053	C1QTNF7	0	1
+s_53476	SPERT	0	1
+s_42932	PODXL2	0	1
+s_41620	PHF13	0	1
+s_11598	CHD3	0	1
+s_63104	ZFYVE27	0	1
+s_55131	SZT2	0	1
+s_1357	ADRB1	0	1
+s_25914	HOXC6	0	1
+s_12019	CIZ1	0	1
+s_7940	C4orf26	0	1
+s_32271	LZIC	0	1
+s_29312	KIAA1598	0	1
+s_28510	KCNA10	0	1
+s_61149	VAV2	0	1
+s_11218	CENPL	0	1
+s_31733	LRRC42	0	1
+s_24201	GRN	0	1
+s_60373	UBXN6	0	1
+s_18018	ELOF1	0	1
+s_62019	WISP1	0	1
+s_36286	NCKIPSD	0	1
+s_62862	ZDHHC16	0	1
+s_45908	RAD51C	0	1
+s_34464	MPDZ	0	1
+s_59050	TRIO	0	1
+s_13220	COX4I2	0	1
+s_53	AAK1	0	1
+s_45627	RAB24	0	1
+s_42519	PLEKHG6	0	1
+s_56099	TERF1	0	1
+s_52642	SMPD4	0	1
+s_1992	ALG1	0	1
+s_4339	ATP2C1	0	1
+s_39237	OR4X2	0	1
+s_54758	SUPT4H1	0	1
+s_51715	SLC35A4	0	1
+s_6376	C12orf74	0	1
+s_57082	TMEM106C	0	1
+s_26805	IGDCC3	0	1
+s_7681	C2orf62	0	1
+s_49651	SEC24D	0	1
+s_41701	PHKG2	0	1
+s_24383	GTF2A2	0	1
+s_18965	EXOC3L4	0	1
+s_23969	GPX2	0	1
+s_8954	CAMSAP1	0	1
+s_60649	UNC5B	0	1
+s_55528	TBC1D15	0	1
+s_21342	FNDC5	0	1
+s_30378	LACE1	0	1
+s_12203	CLDND1	0	1
+s_40316	PARP3	0	1
+s_16341	DNAH9	0	1
+s_9171	CASD1	0	1
+s_13287	CPA5	0	2
+s_30551	LAS1L	0	1
+s_54327	STC2	0	1
+s_33017	MBD4	0	1
+s_57181	TMEM132E	0	1
+s_30357	L3MBTL1	0	1
+s_62567	ZBTB1	0	1
+s_61623	WDFY1	0	1
+s_43016	POLK	0	1
+s_15405	DDX31	0	1
+s_37384	NMUR1	0	1
+s_48201	RPL6	0	1
+s_6409	C14orf105	0	1
+s_38305	NUDT7	0	1
+s_35596	MYH11	0	1
+s_41141	PDLIM7	0	1
+s_1549	AGPS	0	1
+s_34624	MRI1	0	1
+s_6728	C17orf112	0	1
+s_49278	SCIN	0	1
+s_14099	CTCFL	0	1
+s_10563	CD99L2	0	1
+s_44162	PRKRA	0	1
+s_58612	TPSG1	0	1
+s_55845	TCF4	0	1
+s_15566	DEFB119	0	1
+s_1177	ADCY3	0	1
+s_57189	TMEM134	0	1
+s_59654	TTC9C	0	1
+s_50388	SH2D3C	0	1
+s_35973	NADK	0	1
+s_57568	TMEM245	0	1
+s_13879	CSHL1	0	1
+s_44260	PROKR1	0	2
+s_64419	ZNF668	0	1
+s_1393	AEN	0	2
+s_42243	PLA2G16	0	1
+s_41185	PDYN	0	1
+s_976	ADAM21	0	1
+s_40397	PAX3	0	1
+s_24448	GTF3C5	0	1
+s_13718	CRTAM	0	1
+s_33812	MGAT4B	0	1
+s_8470	C9orf24	0	1
+s_46634	RCOR2	0	1
+s_40395	PAX3	0	1
+s_49934	SERINC5	0	1
+s_26556	ICT1	0	1
+s_13755	CRYBA1	0	1
+s_30825	LEPRE1	0	1
+s_53512	SPI1	0	1
+s_40269	PARK2	0	1
+s_45249	PTPRU	0	1
+s_34310	MOB1B	0	1
+s_36273	NCKAP1L	0	1
+s_50780	SIRPB1	0	2
+s_55913	TCP11	0	1
+s_6707	C17orf102	0	1
+s_41439	PFN4	0	1
+s_26388	HTR3D	0	1
+s_6906	C19orf38	0	1
+s_14586	CYBA	0	1
+s_15520	DEF8	0	1
+s_2837	AP3S1	0	1
+s_60925	USP4	0	1
+s_37407	NOA1	0	1
+s_50722	SIGLEC9	0	1
+s_37103	NKAIN4	0	1
+s_60423	UEVLD	0	1
+s_12057	CKMT2	0	1
+s_1179	ADCY4	0	1
+s_6859	C18orf32	0	1
+s_33561	METTL1	0	1
+s_53740	SPTA1	0	1
+s_200	ABCC2	0	1
+s_3437	ARHGEF3	0	1
+s_59196	TRPM1	0	1
+s_871	ACTR8	0	1
+s_11025	CDSN	0	1
+s_18170	EMR1	0	1
+s_19499	FAM159A	0	1
+s_57299	TMEM167B	0	1
+s_14670	CYP26A1	0	1
+s_2205	AMELX	0	1
+s_12209	CLDND2	0	1
+s_24741	HAT1	0	1
+s_316	ABHD2	0	1
+s_22006	GABRG2	0	1
+s_52787	SNIP1	0	1
+s_60250	UBE3B	0	1
+s_24922	HDAC9	0	1
+s_42536	PLEKHM1	0	1
+s_25264	HHLA3	0	1
+s_30745	LDLRAD1	0	1
+s_49246	SCGB1D1	0	1
+s_47915	RP11-178D12.1	0	1
+s_29843	KLHL9	0	1
+s_10658	CDC42SE2	0	1
+s_44935	PTCHD4	0	1
+s_7162	C1orf144	0	1
+s_12708	CNP	0	1
+s_17229	E2F1	0	1
+s_52383	SLFN13	0	1
+s_2053	ALKBH4	0	1
+s_38022	NSFL1C	0	1
+s_50342	SGPP2	0	1
+s_12425	CLPX	0	1
+s_15438	DDX46	0	1
+s_54704	SULT2B1	0	1
+s_45290	PUF60	0	1
+s_31657	LRRC25	0	1
+s_48933	SALL3	0	1
+s_19614	FAM175B	0	1
+s_5026	BBC3	0	1
+s_14286	CTU2	0	1
+s_76	AARS2	0	1
+s_45894	RAD51AP1	0	1
+s_54019	SSPN	0	1
+s_45566	RAB11FIP1	0	1
+s_59204	TRPM3	0	1
+s_59133	TRMT61B	0	2
+s_42162	PKHD1L1	0	1
+s_43834	PRAMEF13	0	1
+s_10402	CD37	0	1
+s_9109	CARD17	0	1
+s_60839	USP15	0	1
+s_39972	PABPC4	0	1
+s_27236	IL24	0	1
+s_46265	RASSF4	0	1
+s_16554	DNM2	0	1
+s_35935	NAALADL2	0	1
+s_51276	SLC22A5	0	1
+s_42560	PLEKHS1	0	1
+s_57992	TMUB1	0	1
+s_49625	SEC22A	0	1
+s_13389	CPO	0	1
+s_2828	AP3B2	0	1
+s_13328	CPED1	0	1
+s_53048	SON	0	1
+s_10541	CD8B	0	1
+s_1971	ALDH8A1	0	1
+s_19126	F7	0	1
+s_25027	HECW2	0	1
+s_47005	RGL2	0	1
+s_18920	EVX2	0	1
+s_54314	STAU2	0	1
+s_52093	SLC5A5	0	1
+s_53993	SSBP1	0	1
+s_9285	CATSPER3	0	1
+s_31206	LMAN2	0	1
+s_35569	MYD88	0	1
+s_37035	NINJ1	0	1
+s_36342	NCR3	0	1
+s_42261	PLA2G2E	0	1
+s_14520	CXorf61	0	1
+s_51179	SLC1A2	0	1
+s_17762	EIF2B4	0	1
+s_55911	TCP10L2	0	1
+s_38429	NUSAP1	0	1
+s_39964	PABPC1	0	1
+s_20106	FAM71B	0	1
+s_43533	PPP1R13B	0	1
+s_41145	PDP1	0	1
+s_60396	UCKL1	0	1
+s_22715	GGPS1	0	1
+s_47777	RNF44	0	1
+s_48179	RPL36	0	1
+s_28436	KAT8	0	1
+s_35497	MXRA7	0	1
+s_51312	SLC24A4	0	1
+s_38336	NUMB	0	1
+s_59340	TSHZ2	0	1
+s_17942	ELF1	0	1
+s_13309	CPE	0	1
+s_44319	PRPF39	0	1
+s_10943	CDKL5	0	1
+s_8000	C4orf52	0	1
+s_54801	SUSD4	0	1
+s_60603	UMODL1	0	1
+s_13512	CRB1	0	1
+s_11317	CEP63	0	1
+s_64878	ZPLD1	0	1
+s_3670	ARPC1A	0	1
+s_17214	DYX1C1	0	1
+s_41077	PDIA2	0	1
+s_61529	VWA5A	0	1
+s_7234	C1orf198	0	1
+s_25696	HNF4A	0	1
+s_59602	TTC39A	0	1
+s_10437	CD46	0	1
+s_38683	OGG1	0	1
+s_13026	COLEC12	0	1
+s_56621	TIFA	0	1
+s_39865	OXSM	0	1
+s_16190	DLX3	0	2
+s_14995	DAXX	0	1
+s_8705	CACNA1I	0	1
+s_37286	NMB	0	1
+s_15700	DERL1	0	1
+s_55147	TAAR8	0	1
+s_77	AARSD1	0	1
+s_28834	KCNQ4	0	1
+s_18171	EMR1	0	1
+s_54403	STK3	0	1
+s_60248	UBE3A	0	1
+s_41879	PIGR	0	1
+s_53691	SPRR3	0	1
+s_40457	PCBD1	0	1
+s_46821	RERG	0	1
+s_30162	KRT8	0	1
+s_18409	EPHA10	0	1
+s_42181	PKM	0	1
+s_53151	SOX30	0	1
+s_18106	EMCN	0	1
+s_32504	MAN1A2	0	1
+s_33723	MFNG	0	1
+s_14338	CUTA	0	1
+s_56207	TEX9	0	1
+s_6292	C12orf23	0	1
+s_36482	NDUFAF3	0	1
+s_30741	LDLR	0	3
+s_13035	COMMD1	0	1
+s_14463	CXXC4	0	1
+s_37274	NLRP7	0	1
+s_51774	SLC35F3	0	1
+s_33625	METTL23	0	1
+s_29554	KIRREL3	0	1
+s_3312	ARHGAP30	0	1
+s_42554	PLEKHO1	0	1
+s_30215	KRTAP12-3	0	1
+s_38679	OGG1	0	1
+s_22810	GIMAP8	0	1
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+s_39737	OTOA	0	1
+s_47413	RLBP1	0	1
+s_2037	ALG9	0	1
+s_39802	OTUD7A	0	1
+s_46298	RAVER2	0	1
+s_54380	STK17A	0	1
+s_2226	AMIGO2	0	1
+s_31115	LIN9	0	1
+s_3051	APOF	0	1
+s_5503	BMF	0	1
+s_19215	FAIM	0	1
+s_56492	THEM4	0	1
+s_7128	C1orf122	0	1
+s_18445	EPHA8	0	1
+s_56014	TEAD4	0	1
+s_10425	CD40	0	1
+s_64479	ZNF688	0	1
+s_45139	PTPN22	0	1
+s_32474	MAMDC4	0	1
+s_21927	GAB1	0	1
+s_38901	OR10W1	0	1
+s_58633	TRA2B	0	1
+s_19633	FAM178A	0	1
+s_35406	MUC4	0	1
+s_49881	5-Sep	0	1
+s_63487	ZNF223	0	1
+s_19859	FAM213B	0	1
+s_44065	PRKACB	0	1
+s_26987	IKBKG	0	1
+s_18273	ENPP3	0	1
+s_18362	EPB41L1	0	1
+s_786	ACSS2	0	1
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+s_4025	ASS1	0	1
+s_44910	PTCH1	0	1
+s_13662	CRK	0	1
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+s_43122	POLR3G	0	1
+s_5268	BDH1	0	1
+s_54609	STXBP4	0	1
+s_25732	HNRNPCL1	0	1
+s_32962	MATN3	0	1
+s_15113	DCAF6	0	1
+s_40597	PCDHB2	0	1
+s_43158	POMT1	0	1
+s_29627	KLF15	0	1
+s_46321	RBBP5	0	1
+s_636	ACO1	0	1
+s_22316	GATAD2A	0	1
+s_18782	ESYT1	0	1
+s_17442	EDNRB	0	1
+s_49844	SEPP1	0	1
+s_37945	NRL	0	1
+s_1663	AIF1L	0	1
+s_12049	CKLF-CMTM1	0	1
+s_47791	RNF8	0	1
+s_49957	SERPINA3	0	1
+s_36386	NDOR1	0	1
+s_46355	RBFOX3	0	1
+s_38592	OCM2	0	1
+s_54679	SULT1B1	0	1
+s_62114	WNT8A	0	1
+s_64791	ZNF85	0	1
+s_47594	RNF145	0	1
+s_38124	NTM	0	1
+s_12906	COL22A1	0	1
+s_24644	HAAO	0	1
+s_28135	ITM2A	0	1
+s_47786	RNF7	0	1
+s_15988	DIO1	0	1
+s_6200	C11orf49	0	1
+s_37801	NR1H4	0	1
+s_43430	PPIL4	0	1
+s_1661	AIF1	0	1
+s_22033	GAD1	0	1
+s_53153	SOX30	0	1
+s_14364	CWF19L1	0	1
+s_20616	FBXO7	0	1
+s_20861	FGD1	0	1
+s_20325	FAS	0	1
+s_64851	ZNRF3	0	1
+s_13405	CPS1	0	1
+s_10657	CDC42SE2	0	1
+s_27332	IL4I1	0	1
+s_39620	OSBP2	0	1
+s_7970	C4orf37	0	1
+s_2376	ANGPTL6	0	1
+s_9732	CCDC48	0	1
+s_38832	OPTC	0	1
+s_11928	CHUK	0	1
+s_52833	SNRPB2	0	1
Binary file test-data/out.countsummary.pdf has changed
--- a/test-data/out.countsummary.txt	Sat Feb 17 10:40:59 2018 -0500
+++ b/test-data/out.countsummary.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -1,2 +1,2 @@
 File	Label	Reads	Mapped	Percentage	TotalsgRNAs	Zerocounts	GiniIndex	NegSelQC	NegSelQCPval	NegSelQCPvalPermutation	NegSelQCPvalPermutationFDR	NegSelQCGene
-input.gz	sample1	2500	1453	0.5812	2550	1276	0.5267	0	1	1	1	0.0
+input_0.gz	test1_fastq_gz	2500	1453	0.5812	2550	1276	0.5267	0	1	1	1	0.0
Binary file test-data/out.countsummary_multi.pdf has changed
--- a/test-data/out.mle.log.txt	Sat Feb 17 10:40:59 2018 -0500
+++ b/test-data/out.mle.log.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -1,749 +1,57 @@
-INFO  @ Mon, 12 Feb 2018 21:46:26: Parameters: /home/maria/miniconda3/envs/mulled-v1-b1e6893952d2d7e4d51a13d040adcd7bea052bfdc57a24d59056014db875e749/bin/mageck mle -k /tmp/tmpRFR3vr/files/000/dataset_1.dat -d /tmp/tmpRFR3vr/files/000/dataset_2.dat -n output --norm-method median --genes-varmodeling 1000 --permutation-round 10 --adjust-method fdr --threads 1
-INFO  @ Mon, 12 Feb 2018 21:46:27: Cannot parse design matrix as a string; try to parse it as a file name ...
-INFO  @ Mon, 12 Feb 2018 21:46:27: Design matrix:
-INFO  @ Mon, 12 Feb 2018 21:46:27: [[1. 0. 0.]
-INFO  @ Mon, 12 Feb 2018 21:46:27:  [1. 0. 0.]
-INFO  @ Mon, 12 Feb 2018 21:46:27:  [1. 1. 0.]
-INFO  @ Mon, 12 Feb 2018 21:46:27:  [1. 0. 1.]]
-INFO  @ Mon, 12 Feb 2018 21:46:27: Beta labels:baseline,HL60,KBM7
-INFO  @ Mon, 12 Feb 2018 21:46:27: Included samples:HL60.initial,KBM7.initial,HL60.final,KBM7.final
-INFO  @ Mon, 12 Feb 2018 21:46:27: Loaded samples:HL60.initial;KBM7.initial;HL60.final;KBM7.final
-INFO  @ Mon, 12 Feb 2018 21:46:27: Sample index: 0;1;2;3
-INFO  @ Mon, 12 Feb 2018 21:46:27: Loaded 100 genes.
-DEBUG @ Mon, 12 Feb 2018 21:46:27: Initial (total) size factor: 1.6654412961322171 2.025116092944715 0.720025234995028 0.6592307725342162
-DEBUG @ Mon, 12 Feb 2018 21:46:27: Median factor: 1.4705915949061357 1.773663484525946 0.6311218804203026 0.5731039100868989
-INFO  @ Mon, 12 Feb 2018 21:46:27: Final size factor: 1.4705915949061357 1.773663484525946 0.6311218804203026 0.5731039100868989
-INFO  @ Mon, 12 Feb 2018 21:46:27: size factor: 0.6799984465189518,0.5638048078028025,1.5844800046134337,1.744884273862957
-INFO  @ Mon, 12 Feb 2018 21:46:27: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:46:27: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:46:27: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:46:27: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:46:27: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:46:27: Modeling the mean and variance ...
-INFO  @ Mon, 12 Feb 2018 21:46:27: Linear regression: y=-0.902175602829449x+14.539230037913281
-INFO  @ Mon, 12 Feb 2018 21:46:27: Run the algorithm for the second time ...
-WARNING @ Mon, 12 Feb 2018 21:46:27: A1CF: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:27: A1CF: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:28: A1CF: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:28: A1CF: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:29: A1CF: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:29: A1CF: alpha: 0.09
-INFO  @ Mon, 12 Feb 2018 21:46:29: Calculating AAAS (1) ...
-WARNING @ Mon, 12 Feb 2018 21:46:29: AAAS: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:29: AAAS: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:30: AAAS: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:30: AAAS: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:31: AAAS: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:31: AAAS: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:31: AAK1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:31: AAK1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:31: AAK1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:31: AAK1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:32: AAK1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:32: AAK1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:32: AATF: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:32: AATF: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:33: AATF: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:33: AATF: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:33: AATF: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:33: AATF: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:33: AATK: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:33: AATK: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:34: AATK: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:34: AATK: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:35: AATK: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:35: AATK: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:35: ABCB8: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:35: ABCB8: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:36: ABCB8: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:36: ABCB8: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:37: ABCB8: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:37: ABCB8: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:37: ABCC1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:37: ABCC1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:38: ABCC1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:38: ABCC1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:38: ABCC1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:38: ABCC1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:38: ABCF1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:38: ABCF1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:39: ABCF1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:39: ABCF1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:40: ABCF1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:40: ABCF1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:40: ABHD14B: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:40: ABHD14B: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:41: ABHD14B: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:41: ABHD14B: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:42: ABHD14B: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:42: ABHD14B: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:42: ABI1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:42: ABI1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:43: ABI1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:43: ABI1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:44: ABI1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:44: ABI1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:44: ABL1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:44: ABL1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:44: ABL1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:44: ABL1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:45: ABL1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:45: ABL1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:45: ABL2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:45: ABL2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:46: ABL2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:46: ABL2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:47: ABL2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:47: ABL2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:47: ABLIM2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:47: ABLIM2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:48: ABLIM2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:48: ABLIM2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:49: ABLIM2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:49: ABLIM2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:49: ABT1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:49: ABT1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:50: ABT1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:50: ABT1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:50: ABTB1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:50: ABTB1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:51: ABTB1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:51: ABTB1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:52: ABTB1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:52: ABTB1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:52: ACAD11: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:52: ACAD11: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:53: ACAD11: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:53: ACAD11: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:54: ACAD11: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:54: ACAD11: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:54: ACAD9: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:54: ACAD9: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:55: ACAD9: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:55: ACAD9: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:55: ACAD9: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:55: ACAD9: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:56: ACAT2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:56: ACAT2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:56: ACAT2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:56: ACAT2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:57: ACAT2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:57: ACAT2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:57: ACBD6: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:57: ACBD6: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:46:58: ACBD6: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:58: ACBD6: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:46:59: ACBD6: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:46:59: ACBD6: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:46:59: ACD: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:46:59: ACD: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:00: ACD: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:00: ACD: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:00: ACD: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:00: ACD: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:00: ACHE: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:00: ACHE: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:01: ACHE: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:01: ACHE: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:02: ACHE: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:02: ACHE: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:02: ACIN1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:02: ACIN1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:03: ACIN1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:03: ACIN1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:04: ACIN1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:04: ACIN1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:04: ACLY: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:04: ACLY: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:05: ACLY: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:05: ACLY: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:05: ACO2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:05: ACO2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:06: ACO2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:06: ACO2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:07: ACO2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:07: ACO2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:07: ACP1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:07: ACP1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:08: ACP1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:08: ACP1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:08: ACP1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:08: ACP1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:08: ACRC: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:08: ACRC: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:09: ACRC: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:09: ACRC: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:10: ACRC: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:10: ACRC: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:10: ACSL6: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:10: ACSL6: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:11: ACSL6: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:11: ACSL6: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:11: ACSL6: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:11: ACSL6: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:11: ACSS2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:11: ACSS2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:12: ACSS2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:12: ACSS2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:13: ACSS2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:13: ACSS2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:13: ACTL6A: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:13: ACTL6A: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:13: ACTL6A: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:13: ACTL6A: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:14: ACTL6A: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:14: ACTL6A: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:14: ACTL6B: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:14: ACTL6B: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:15: ACTL6B: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:15: ACTL6B: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:16: ACTL6B: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:16: ACTL6B: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:16: ACTL7A: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:16: ACTL7A: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:16: ACTL7A: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:16: ACTL7A: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:17: ACTL7A: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:17: ACTL7A: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:17: ACTN1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:17: ACTN1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:18: ACTN1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:18: ACTN1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:19: ACTN1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:19: ACTN1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:19: ACTN4: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:19: ACTN4: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:19: ACTN4: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:19: ACTN4: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:20: ACTN4: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:20: ACTN4: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:20: ACTR1A: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:20: ACTR1A: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:21: ACTR1A: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:21: ACTR1A: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:22: ACTR1A: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:22: ACTR1A: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:22: ACTR3: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:22: ACTR3: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:22: ACTR3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:22: ACTR3: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:23: ACTR3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:23: ACTR3: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:23: ACTR5: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:23: ACTR5: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:24: ACTR5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:24: ACTR5: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:25: ACTR5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:25: ACTR5: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:25: ACTR8: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:25: ACTR8: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:25: ACTR8: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:25: ACTR8: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:26: ACTR8: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:26: ACTR8: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:26: ACTRT3: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:26: ACTRT3: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:27: ACTRT3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:27: ACTRT3: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:28: ACTRT3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:28: ACTRT3: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:28: ACVR1B: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:28: ACVR1B: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:28: ACVR1B: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:28: ACVR1B: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:29: ACVR1B: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:29: ACVR1B: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:29: ACVR1C: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:29: ACVR1C: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:30: ACVR1C: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:30: ACVR1C: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:30: ACVR1C: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:30: ACVR1C: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:30: ACVR1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:30: ACVR1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:31: ACVR1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:31: ACVR1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:32: ACVR1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:32: ACVR1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:32: ACVR2A: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:32: ACVR2A: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:33: ACVR2A: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:33: ACVR2A: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:33: ACVR2A: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:33: ACVR2A: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:33: ACVR2B: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:33: ACVR2B: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:34: ACVR2B: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:34: ACVR2B: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:35: ACVR2B: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:35: ACVR2B: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:35: ACVRL1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:35: ACVRL1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:36: ACVRL1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:36: ACVRL1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:36: ACVRL1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:36: ACVRL1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:36: ADAD1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:36: ADAD1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:37: ADAD1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:37: ADAD1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:38: ADAD1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:38: ADAD1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:38: ADAM10: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:38: ADAM10: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:38: ADAM10: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:38: ADAM10: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:39: ADAM10: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:39: ADAM10: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:39: ADAM12: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:39: ADAM12: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:40: ADAM12: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:40: ADAM12: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:41: ADAM12: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:41: ADAM12: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:41: ADAMTS5: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:41: ADAMTS5: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:41: ADAMTS5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:41: ADAMTS5: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:42: ADAMTS5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:42: ADAMTS5: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:42: ADAP1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:42: ADAP1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:43: ADAP1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:43: ADAP1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:44: ADAP1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:44: ADAP1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:44: ADARB1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:44: ADARB1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:44: ADARB1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:44: ADARB1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:45: ADARB1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:45: ADARB1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:45: ADARB2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:45: ADARB2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:46: ADARB2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:46: ADARB2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:47: ADARB2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:47: ADARB2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:47: ADAR: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:47: ADAR: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:48: ADAR: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:48: ADAR: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:48: ADAR: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:48: ADAR: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:48: ADCK1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:48: ADCK1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:49: ADCK1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:49: ADCK1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:50: ADCK1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:50: ADCK1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:50: ADCK2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:50: ADCK2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:51: ADCK2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:51: ADCK2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:51: ADCK2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:51: ADCK2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:51: ADCK3: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:51: ADCK3: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:52: ADCK3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:52: ADCK3: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:53: ADCK3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:53: ADCK3: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:53: ADCK4: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:53: ADCK4: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:54: ADCK4: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:54: ADCK4: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:54: ADCK4: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:54: ADCK4: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:54: ADCK5: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:54: ADCK5: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:55: ADCK5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:55: ADCK5: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:56: ADCK5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:56: ADCK5: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:56: ADCY1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:56: ADCY1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:57: ADCY1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:57: ADCY1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:57: ADCY1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:57: ADCY1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:57: ADD1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:57: ADD1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:47:58: ADD1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:58: ADD1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:47:59: ADD1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:47:59: ADD1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:47:59: ADD3: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:47:59: ADD3: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:00: ADD3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:00: ADD3: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:00: ADD3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:00: ADD3: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:00: ADH5: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:00: ADH5: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:01: ADH5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:01: ADH5: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:02: ADH5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:02: ADH5: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:02: ADH7: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:02: ADH7: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:03: ADH7: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:03: ADH7: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:04: ADH7: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:04: ADH7: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:04: ADI1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:04: ADI1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:04: ADI1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:04: ADI1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:05: ADI1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:05: ADI1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:06: ADIRF: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:06: ADIRF: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:06: ADIRF: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:06: ADIRF: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:07: ADIRF: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:07: ADIRF: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:07: ADK: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:07: ADK: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:08: ADK: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:08: ADK: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:08: ADK: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:08: ADK: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:09: ADNP2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:09: ADNP2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:09: ADNP2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:09: ADNP2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:10: ADNP2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:10: ADNP2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:10: ADNP: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:10: ADNP: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:11: ADNP: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:11: ADNP: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:12: ADNP: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:12: ADNP: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:12: ADPRHL2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:12: ADPRHL2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:12: ADPRHL2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:12: ADPRHL2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:13: ADPRHL2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:13: ADPRHL2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:13: ADRA1A: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:13: ADRA1A: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:14: ADRA1A: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:14: ADRA1A: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:14: ADRA1A: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:14: ADRA1A: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:14: ADRA1B: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:14: ADRA1B: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:15: ADRA1B: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:15: ADRA1B: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:16: ADRA1B: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:16: ADRA1B: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:16: ADRB1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:16: ADRB1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:17: ADRB1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:17: ADRB1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:18: ADRB1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:18: ADRB1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:18: ADRB2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:18: ADRB2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:19: ADRB2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:19: ADRB2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:20: ADRB2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:20: ADRB2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:20: ADRB3: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:20: ADRB3: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:21: ADRB3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:21: ADRB3: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:21: ADRB3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:21: ADRB3: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:21: ADRBK1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:21: ADRBK1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:22: ADRBK1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:22: ADRBK1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:23: ADRBK1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:23: ADRBK1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:23: ADRBK2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:23: ADRBK2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:24: ADRBK2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:24: ADRBK2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:25: ADRBK2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:25: ADRBK2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:25: ADRM1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:25: ADRM1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:26: ADRM1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:26: ADRM1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:26: ADRM1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:26: ADRM1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:27: AEBP1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:27: AEBP1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:27: AEBP1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:27: AEBP1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:28: AEBP1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:28: AEBP1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:28: AEBP2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:28: AEBP2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:29: AEBP2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:29: AEBP2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:30: AEBP2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:30: AEBP2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:30: AEN: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:30: AEN: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:31: AEN: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:31: AEN: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:31: AEN: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:31: AEN: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:31: AES: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:31: AES: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:32: AES: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:32: AES: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:33: AES: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:33: AES: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:33: AFAP1L2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:33: AFAP1L2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:34: AFAP1L2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:34: AFAP1L2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:34: AFAP1L2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:34: AFAP1L2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:34: AFF1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:34: AFF1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:35: AFF1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:35: AFF1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:36: AFF1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:36: AFF1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:36: AFF2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:36: AFF2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:37: AFF2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:37: AFF2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:37: AFF2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:37: AFF2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:37: AFF3: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:37: AFF3: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:38: AFF3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:38: AFF3: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:39: AFF3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:39: AFF3: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:39: AFF4: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:39: AFF4: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:40: AFF4: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:40: AFF4: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:40: AFF4: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:40: AFF4: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:40: AFMID: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:40: AFMID: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:41: AFMID: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:41: AFMID: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:42: AFMID: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:42: AFMID: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:42: AFTPH: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:42: AFTPH: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:43: AFTPH: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:43: AFTPH: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:43: AFTPH: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:43: AFTPH: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:43: AGAP2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:43: AGAP2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:44: AGAP2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:44: AGAP2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:45: AGAP2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:45: AGAP2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:45: AGAP3: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:45: AGAP3: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:45: AGAP3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:45: AGAP3: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:46: AGAP3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:46: AGAP3: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:46: AGBL5: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:46: AGBL5: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:47: AGBL5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:47: AGBL5: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:48: AGBL5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:48: AGBL5: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:48: AGFG1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:48: AGFG1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:48: AGFG1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:48: AGFG1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:49: AGFG1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:49: AGFG1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:50: AGL: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:50: AGL: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:51: AGL: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:51: AGL: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:51: AGPAT3: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:51: AGPAT3: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:52: AGPAT3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:52: AGPAT3: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:52: AGPAT3: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:52: AGPAT3: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:52: AGPAT5: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:52: AGPAT5: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:53: AGPAT5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:53: AGPAT5: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:54: AGPAT5: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:54: AGPAT5: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:54: AGTPBP1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:54: AGTPBP1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:55: AGTPBP1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:55: AGTPBP1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:55: AGTPBP1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:55: AGTPBP1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:55: AHCTF1: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:55: AHCTF1: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:56: AHCTF1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:56: AHCTF1: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:57: AHCTF1: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:57: AHCTF1: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:57: AHCY: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:57: AHCY: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:58: AHCY: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:58: AHCY: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:48:58: AHCY: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:58: AHCY: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:48:58: AHNAK2: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:48:58: AHNAK2: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:48:59: AHNAK2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:48:59: AHNAK2: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:49:00: AHNAK2: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:49:00: AHNAK2: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:49:01: AHNAK: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:49:01: AHNAK: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:49:01: AHNAK: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:49:01: AHNAK: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:49:02: AHNAK: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:49:02: AHNAK: alpha: 0.09
-WARNING @ Mon, 12 Feb 2018 21:49:02: AHRR: beta value does not converge. Try to increase the value of alpha ..
-WARNING @ Mon, 12 Feb 2018 21:49:02: AHRR: alpha: 0.01
-WARNING @ Mon, 12 Feb 2018 21:49:03: AHRR: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:49:03: AHRR: alpha: 0.03
-WARNING @ Mon, 12 Feb 2018 21:49:04: AHRR: reaches the maximum number of iterations.
-WARNING @ Mon, 12 Feb 2018 21:49:04: AHRR: alpha: 0.09
-INFO  @ Mon, 12 Feb 2018 21:49:04: Permuting groups of gene with 9 sgRNAs per gene. Group progress: 1/2
-INFO  @ Mon, 12 Feb 2018 21:49:04: Start permuting 10 rounds ...
-INFO  @ Mon, 12 Feb 2018 21:49:04: Collecting 999 sgRNAs from 100 genes.
-INFO  @ Mon, 12 Feb 2018 21:49:04: Permuting round 0 ...
-INFO  @ Mon, 12 Feb 2018 21:49:04: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:04: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:04: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:04: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:04: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:04: Permuting round 1 ...
-INFO  @ Mon, 12 Feb 2018 21:49:05: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:05: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:05: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:05: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:05: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:05: Permuting round 2 ...
-INFO  @ Mon, 12 Feb 2018 21:49:05: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:05: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:05: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:06: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:06: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:06: Permuting round 3 ...
-INFO  @ Mon, 12 Feb 2018 21:49:06: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:06: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:06: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:07: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:07: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:07: Permuting round 4 ...
-INFO  @ Mon, 12 Feb 2018 21:49:07: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:07: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:07: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:08: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:08: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:08: Permuting round 5 ...
-INFO  @ Mon, 12 Feb 2018 21:49:08: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:08: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:08: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:09: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:09: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:09: Permuting round 6 ...
-INFO  @ Mon, 12 Feb 2018 21:49:09: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:09: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:09: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:09: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:09: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:10: Permuting round 7 ...
-INFO  @ Mon, 12 Feb 2018 21:49:10: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:10: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:10: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:10: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:10: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:10: Permuting round 8 ...
-INFO  @ Mon, 12 Feb 2018 21:49:10: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:10: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:10: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:11: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:11: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:11: Permuting round 9 ...
-INFO  @ Mon, 12 Feb 2018 21:49:11: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:11: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:11: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:12: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:12: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:12: Assigning p values...
-INFO  @ Mon, 12 Feb 2018 21:49:12: Permuting groups of gene with 10 sgRNAs per gene. Group progress: 2/2
-INFO  @ Mon, 12 Feb 2018 21:49:12: Start permuting 10 rounds ...
-INFO  @ Mon, 12 Feb 2018 21:49:12: Collecting 999 sgRNAs from 100 genes.
-INFO  @ Mon, 12 Feb 2018 21:49:12: Permuting round 0 ...
-INFO  @ Mon, 12 Feb 2018 21:49:12: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:12: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:12: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:13: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:13: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:13: Permuting round 1 ...
-INFO  @ Mon, 12 Feb 2018 21:49:13: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:13: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:13: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:14: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:14: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:14: Permuting round 2 ...
-INFO  @ Mon, 12 Feb 2018 21:49:14: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:14: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:14: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:15: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:15: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:15: Permuting round 3 ...
-INFO  @ Mon, 12 Feb 2018 21:49:15: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:15: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:15: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:16: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:16: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:16: Permuting round 4 ...
-INFO  @ Mon, 12 Feb 2018 21:49:16: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:16: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:16: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:16: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:16: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:17: Permuting round 5 ...
-INFO  @ Mon, 12 Feb 2018 21:49:17: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:17: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:17: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:17: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:17: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:18: Permuting round 6 ...
-INFO  @ Mon, 12 Feb 2018 21:49:18: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:18: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:18: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:19: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:19: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:19: Permuting round 7 ...
-INFO  @ Mon, 12 Feb 2018 21:49:19: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:19: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:19: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:20: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:20: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:20: Permuting round 8 ...
-INFO  @ Mon, 12 Feb 2018 21:49:20: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:20: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:20: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:21: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:21: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:21: Permuting round 9 ...
-INFO  @ Mon, 12 Feb 2018 21:49:21: Thread 0 started.
-INFO  @ Mon, 12 Feb 2018 21:49:21: Thread 0: total 100 instances.
-INFO  @ Mon, 12 Feb 2018 21:49:21: Thread 0: Calculating AAAS (1) ...
-INFO  @ Mon, 12 Feb 2018 21:49:21: Thread 0 completed.
-INFO  @ Mon, 12 Feb 2018 21:49:21: All threads completed.
-INFO  @ Mon, 12 Feb 2018 21:49:22: Assigning p values...
-INFO  @ Mon, 12 Feb 2018 21:49:22: Writing gene results to output.gene_summary.txt
-INFO  @ Mon, 12 Feb 2018 21:49:22: Writing sgRNA results to output.sgrna_summary.txt
+INFO  @ Sun, 25 Mar 2018 22:27:41: Parameters: /Users/doylemaria/miniconda3/envs/mulled-v1-9ee130591ca78526e74a59d8d6dc03cb7db20645470975762936caeac62972dc/bin/mageck mle -k /private/var/folders/zn/m_qvr9zd7tq0wdtsbq255f8xypj_zg/T/tmpELNsjE/files/000/dataset_28.dat -d /private/var/folders/zn/m_qvr9zd7tq0wdtsbq255f8xypj_zg/T/tmpELNsjE/files/000/dataset_29.dat -n output --norm-method median --threads 1
+INFO  @ Sun, 25 Mar 2018 22:27:42: Cannot parse design matrix as a string; try to parse it as a file name ...
+INFO  @ Sun, 25 Mar 2018 22:27:42: Design matrix:
+INFO  @ Sun, 25 Mar 2018 22:27:42: [[1. 0. 0.]
+INFO  @ Sun, 25 Mar 2018 22:27:42:  [1. 0. 0.]
+INFO  @ Sun, 25 Mar 2018 22:27:42:  [1. 1. 0.]
+INFO  @ Sun, 25 Mar 2018 22:27:42:  [1. 0. 1.]]
+INFO  @ Sun, 25 Mar 2018 22:27:42: Beta labels:baseline,HL60,KBM7
+INFO  @ Sun, 25 Mar 2018 22:27:42: Included samples:HL60.initial,KBM7.initial,HL60.final,KBM7.final
+INFO  @ Sun, 25 Mar 2018 22:27:42: Loaded samples:HL60.initial;KBM7.initial;HL60.final;KBM7.final
+INFO  @ Sun, 25 Mar 2018 22:27:42: Sample index: 0;1;2;3
+INFO  @ Sun, 25 Mar 2018 22:27:42: Loaded 100 genes.
+DEBUG @ Sun, 25 Mar 2018 22:27:42: Initial (total) size factor: 1.6654412961322171 2.025116092944715 0.720025234995028 0.6592307725342162
+DEBUG @ Sun, 25 Mar 2018 22:27:42: Median factor: 1.4705915949061357 1.773663484525946 0.6311218804203026 0.5731039100868989
+INFO  @ Sun, 25 Mar 2018 22:27:42: Final size factor: 1.4705915949061357 1.773663484525946 0.6311218804203026 0.5731039100868989
+INFO  @ Sun, 25 Mar 2018 22:27:42: size factor: 0.6799984465189518,0.5638048078028025,1.5844800046134337,1.744884273862957
+INFO  @ Sun, 25 Mar 2018 22:27:42: Thread 0 started.
+INFO  @ Sun, 25 Mar 2018 22:27:42: Thread 0: total 1 instances.
+INFO  @ Sun, 25 Mar 2018 22:27:42: Thread 0 completed.
+INFO  @ Sun, 25 Mar 2018 22:27:42: All threads completed.
+INFO  @ Sun, 25 Mar 2018 22:27:42: Modeling the mean and variance ...
+INFO  @ Sun, 25 Mar 2018 22:27:42: Run the algorithm for the second time ...
+INFO  @ Sun, 25 Mar 2018 22:27:42: Calculating AAAS (1) ...
+INFO  @ Sun, 25 Mar 2018 22:27:43: Permuting groups of gene with 9 sgRNAs per gene. Group progress: 1/2
+INFO  @ Sun, 25 Mar 2018 22:27:43: Start permuting 2 rounds ...
+INFO  @ Sun, 25 Mar 2018 22:27:43: Collecting 999 sgRNAs from 100 genes.
+INFO  @ Sun, 25 Mar 2018 22:27:43: Permuting round 0 ...
+INFO  @ Sun, 25 Mar 2018 22:27:43: Thread 0 started.
+INFO  @ Sun, 25 Mar 2018 22:27:43: Thread 0: total 100 instances.
+INFO  @ Sun, 25 Mar 2018 22:27:43: Thread 0: Calculating AAAS (1) ...
+INFO  @ Sun, 25 Mar 2018 22:27:45: Thread 0 completed.
+INFO  @ Sun, 25 Mar 2018 22:27:45: All threads completed.
+INFO  @ Sun, 25 Mar 2018 22:27:45: Permuting round 1 ...
+INFO  @ Sun, 25 Mar 2018 22:27:45: Thread 0 started.
+INFO  @ Sun, 25 Mar 2018 22:27:45: Thread 0: total 100 instances.
+INFO  @ Sun, 25 Mar 2018 22:27:45: Thread 0: Calculating AAAS (1) ...
+INFO  @ Sun, 25 Mar 2018 22:27:46: Thread 0 completed.
+INFO  @ Sun, 25 Mar 2018 22:27:46: All threads completed.
+INFO  @ Sun, 25 Mar 2018 22:27:46: Assigning p values...
+INFO  @ Sun, 25 Mar 2018 22:27:46: Permuting groups of gene with 10 sgRNAs per gene. Group progress: 2/2
+INFO  @ Sun, 25 Mar 2018 22:27:46: Start permuting 2 rounds ...
+INFO  @ Sun, 25 Mar 2018 22:27:46: Collecting 999 sgRNAs from 100 genes.
+INFO  @ Sun, 25 Mar 2018 22:27:46: Permuting round 0 ...
+INFO  @ Sun, 25 Mar 2018 22:27:47: Thread 0 started.
+INFO  @ Sun, 25 Mar 2018 22:27:47: Thread 0: total 100 instances.
+INFO  @ Sun, 25 Mar 2018 22:27:47: Thread 0: Calculating AAAS (1) ...
+INFO  @ Sun, 25 Mar 2018 22:27:48: Thread 0 completed.
+INFO  @ Sun, 25 Mar 2018 22:27:48: All threads completed.
+INFO  @ Sun, 25 Mar 2018 22:27:49: Permuting round 1 ...
+INFO  @ Sun, 25 Mar 2018 22:27:49: Thread 0 started.
+INFO  @ Sun, 25 Mar 2018 22:27:49: Thread 0: total 100 instances.
+INFO  @ Sun, 25 Mar 2018 22:27:49: Thread 0: Calculating AAAS (1) ...
+INFO  @ Sun, 25 Mar 2018 22:27:50: Thread 0 completed.
+INFO  @ Sun, 25 Mar 2018 22:27:50: All threads completed.
+INFO  @ Sun, 25 Mar 2018 22:27:50: Assigning p values...
+INFO  @ Sun, 25 Mar 2018 22:27:50: Writing gene results to output.gene_summary.txt
+INFO  @ Sun, 25 Mar 2018 22:27:50: Writing sgRNA results to output.sgrna_summary.txt
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out.normcounts.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -0,0 +1,2551 @@
+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
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+s_35478	MXD1	0
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+s_35569	MYD88	0
+s_35596	MYH11	0
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+s_35836	MYPOP	0
+s_35923	NAA60	0
+s_35935	NAALADL2	0
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+s_36273	NCKAP1L	0
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+s_3668	ARNTL2	0
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+s_36703	NELF	0
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+s_36825	NFATC2	0
+s_37035	NINJ1	0
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+s_37384	NMUR1	0
+s_37407	NOA1	0
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+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
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+s_38516	NYX	0
+s_38525	OAS1	0
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+s_38592	OCM2	0
+s_38602	ODAM	0
+s_38679	OGG1	0
+s_38683	OGG1	0
+s_38747	OLR1	0
+s_3881	ASB4	0
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+s_38825	OPRM1	0
+s_38832	OPTC	0
+s_3888	ASB6	0
+s_38901	OR10W1	0
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+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
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+s_39802	OTUD7A	0
+s_39865	OXSM	0
+s_39964	PABPC1	0
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+s_39987	PACRGL	0
+s_40004	PACSIN2	0
+s_40016	PADI2	0
+s_40055	PAGE2B	0
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+s_40156	PANK1	0
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+s_40182	PAOX	0
+s_40184	PAPD4	0
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+s_4025	ASS1	0
+s_40261	PARD6B	0
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+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
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+s_40925	PDE2A	0
+s_40936	PDE4A	0
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+s_41138	PDLIM5	0
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+s_41185	PDYN	0
+s_41279	PELP1	0
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+s_41347	PEX19	0
+s_41439	PFN4	0
+s_41474	PGBD2	0
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+s_41701	PHKG2	0
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+s_41807	PIAS1	0
+s_41879	PIGR	0
+s_41955	PIK3CD	0
+s_42051	PIP5KL1	0
+s_42055	PIP5KL1	0
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+s_4224	ATN1	0
+s_42243	PLA2G16	0
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+s_42305	PLA2R1	0
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+s_42446	PLEC	0
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+s_42519	PLEKHG6	0
+s_42536	PLEKHM1	0
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+s_42554	PLEKHO1	0
+s_42560	PLEKHS1	0
+s_42616	PLOD1	0
+s_42663	PLSCR5	0
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+s_42932	PODXL2	0
+s_43016	POLK	0
+s_43060	POLR2C	0
+s_43122	POLR3G	0
+s_43155	POMT1	0
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+s_43253	POU6F2	0
+s_43302	PPAPDC1B	0
+s_43354	PPFIA1	0
+s_4339	ATP2C1	0
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+s_43533	PPP1R13B	0
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+s_43629	PPP1R42	0
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+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
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+s_4457	ATP6V0E2	0
+s_44634	PSG11	0
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+s_44726	PSMB5	0
+s_44739	PSMB8	0
+s_44746	PSMB9	0
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+s_44808	PSMD8	0
+s_44910	PTCH1	0
+s_44935	PTCHD4	0
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+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
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+s_45601	RAB15	0
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+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
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+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
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+s_51043	SLC15A1	0
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+s_51344	SLC25A13	0
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+s_51528	SLC26A9	0
+s_51555	SLC28A1	0
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+s_51715	SLC35A4	0
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+s_51872	SLC39A14	0
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+s_52017	SLC4A2	0
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+s_52364	SLCO4C1	0
+s_52383	SLFN13	0
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+s_5253	BCO2	0
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+s_52617	SMO	0
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+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
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+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
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+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
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+s_54480	STON1	0
+s_54588	STX5	0
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+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
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+s_55464	TAS2R8	0
+s_55509	TBC1D10C	0
+s_55520	TBC1D14	0
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+s_55577	TBC1D30	0
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+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
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+s_55946	TCTN1	0
+s_56006	TEAD2	0
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+s_56118	TES	0
+s_56167	TEX13B	0
+s_5618	BOK	0
+s_56207	TEX9	0
+s_56284	TFEC	0
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+s_56361	TGFBR2	0
+s_56373	TGIF1	0
+s_56415	TGS1	0
+s_56492	THEM4	0
+s_56509	THNSL1	0
+s_5655	BPIFA1	0
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+s_56646	TIMD4	0
+s_56684	TIMM8B	0
+s_56805	TLL1	0
+s_56819	TLR10	0
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+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/out.test.R	Sat Feb 17 10:40:59 2018 -0500
+++ b/test-data/out.test.R	Wed Apr 04 11:02:50 2018 -0400
@@ -10,7 +10,7 @@
 # outputfile='__OUTPUT_FILE__'
 targetgenelist=c("ACIN1","ACTR8","AHCY","ACLY","AATF","AGBL5","AHCTF1","ABT1","ADIRF","ABCF1")
 # samplelabel=sub('.\\w+.\\w+$','',colnames(gstable)[startindex]);
-samplelabel='HL60.final,KBM7.final_vs_HL60.initial,KBM7.initial neg.'
+samplelabel='HL60_final,KBM7_final_vs_HL60_initial,KBM7_initial neg.'


 # You need to write some codes in front of this code:
@@ -116,7 +116,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(561.4907165816957,824.0396348113272,428.37415340969943,579.047491896501),c(3424.79939695118,3818.2871009576584,1992.3498917052,690.0506672205338),c(846.6456878299913,985.6508562937211,335.0024675413113,415.97581680707134),c(2432.636481525409,2122.257249136931,1067.465489792653,155.6333179800872),c(1308.1851773762019,2186.1913587343615,1482.5909580453515,997.3120339679854),c(405.68439208520414,268.16807081144486,170.34023773287015,109.85881269182627),c(640.8637498157573,559.4234589775174,711.6436598617687,632.2603542941043),c(946.5969148654764,470.6260845366416,663.0651476194316,457.74505288260946),c(246.9383256170808,177.59474888175154,28.39003962214503,0.0),c(568.8400715107754,612.7018836420428,564.0154538266146,270.64176251684285))
 targetgene="ACIN1"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -151,7 +151,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(2484.0819660289676,2349.578527705573,2172.7843657481662,910.9126552363929),c(992.1629154257711,1005.1862786707138,743.8190381001997,200.26346063614164),c(1267.0287897733551,1156.1418152202027,251.09412821363824,42.34141739164138),c(1500.738276518092,1315.977089213779,800.5991173444897,1476.2277955464156),c(1925.5309914189038,2054.7712445618654,194.94493873872918,235.16652091844063),c(351.29916561001374,781.4168950797068,227.75120674654121,624.2498158686586),c(1719.74905340467,1006.9622261595313,356.45271970026533,222.0063506480656),c(903.9706562768137,1445.6212558974576,1482.5909580453515,1055.1023468944147),c(651.152846716469,1081.552020689867,576.0023594448536,1072.2677863775127),c(285.1549712482957,408.46792242802854,99.0496937928171,44.630142656054424))
 targetgene="ACTR8"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -186,7 +186,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(301.3235520922712,657.1005708624807,228.38209651592223,137.32351586478285),c(1142.0897559789987,1099.311495578042,112.92926871919911,100.70391163417409),c(789.3207193831689,671.3081507730209,723.6305654800077,588.7745742702564),c(392.45555321286054,412.0198174056636,334.37157777193033,213.99581222261992),c(2009.3136376104133,2235.917888421252,2437.1271791188055,1937.9781176417478),c(1071.5359486598327,406.69197493921104,645.4002340767636,349.602784139093),c(61.7345814042702,218.44154112455442,614.4866353770946,452.5954210376801),c(651.152846716469,879.0940069646701,237.21455328725622,18.88198343140764),c(1625.6773103124485,1410.1023061211074,2146.286995434164,1986.613529510525),c(1053.8974968300413,882.6459019423052,106.6203710253891,105.85354347910344))
 targetgene="AHCY"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -221,7 +221,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(1268.498660759171,1411.8782536099247,1136.2324746551822,603.6512884889412),c(327.78122983695846,454.642557137284,51.73296108924205,24.031615276336996),c(132.28838872343613,241.5288584791821,123.02350502929512,65.80085135187511),c(495.34652221997754,586.0626713097802,279.4841678357833,243.74924065998954),c(1009.8013672555626,1102.8633905556771,1237.174837756142,1004.7503910773278),c(877.5129785321263,715.7068379934587,538.1489732819936,594.496387431289),c(1594.8100196103135,1108.1912330221296,605.6541786057605,127.59643349102738),c(314.5523909646148,252.1845434120872,88.95545748272109,359.9020478289517),c(512.984974049769,269.94401830026237,205.67006481820619,126.45207085882086),c(761.3931706526657,475.9539270030942,559.5992254409475,596.7851126957021))
 targetgene="ACLY"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -256,7 +256,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(659.9720726313648,809.832054900787,880.7221180558769,802.1982051767731),c(724.6463960072668,1086.8798631563195,695.2405258578626,307.26136674745163),c(836.3565909292796,1289.3378768815162,468.75109865008346,177.94838930811443),c(367.46774645398926,571.85509139924,300.30353022535627,116.72498848506541),c(518.8644579930328,632.2373060190355,627.7353205340956,308.9779106957614),c(405.68439208520414,259.28833336735727,324.27734146183434,166.5047629860492),c(2096.0360257735547,1960.6460276545372,1573.4390848362154,629.9716290296913),c(277.8056163192159,435.1071347602913,182.32714335110919,0.0),c(995.1026573974029,477.7298744919117,728.0467938656747,275.21921304566894),c(2185.6981559083283,1482.9161531626255,1741.8866532609427,1862.4501839161173))
 targetgene="AATF"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -291,7 +291,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(640.8637498157573,602.0461987091378,307.2433176885473,192.82510352679924),c(354.23890758164566,280.5997032331675,204.4082852794442,275.79139436177223),c(779.0316224824572,932.3724316291956,778.5179754161547,905.1908420753603),c(624.6951689717818,554.0956165110648,370.96318439602834,558.4489645167836),c(1133.270530064103,1394.1187787217498,639.0913363829536,1131.2024619361487),c(423.32284391499564,412.0198174056636,224.59675789963623,426.84726181303336),c(296.91393913482335,829.3674772777797,489.5704610396565,1233.0507362025292),c(684.959879390236,546.9918265557948,394.30610586312537,566.4595029422292),c(440.96129574478715,630.461358530218,434.6830511035094,457.1728715665062),c(1108.2827233052317,1969.5257650986248,1066.2037102538911,1333.7546478367033))
 targetgene="AGBL5"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -326,7 +326,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(196.96271209933826,301.9110730989776,423.9579250240324,34.33087896619571),c(1106.8128523194157,1056.6887558464218,1743.1484327997048,807.3478370217025),c(748.1643317803222,488.3855594248168,239.73811236478022,477.77139894622366),c(1095.053884432888,882.6459019423052,837.8216137379688,365.05167967388104),c(677.6105244611563,316.11865300951774,613.8557456077136,819.3636446598709),c(1078.8853035889126,1609.008424868669,348.88204246769334,193.96946615900578),c(1437.533824128006,1095.759600600407,320.4920028455483,161.35513114111984),c(845.1758168441753,660.6524658401157,541.3034221288985,640.8430740356532),c(551.2016196809839,740.570102836904,1103.42620664737,622.5332719203489),c(601.1772331987264,900.4053768304803,735.6174710982467,754.1349746240991))
 targetgene="AHCTF1"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -361,7 +361,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(487.9971672908978,367.6211301852257,312.2904358435953,441.15179471561487),c(358.6485205390935,394.2603425174884,593.0363832181406,268.35303725242983),c(1743.266989177725,1980.1814500315297,837.1907239685878,281.5132075228048),c(1597.7497615819454,1465.1566782744503,1065.57282048451,992.7345834391593),c(119.05954985109253,378.2768151181308,185.48159219801417,128.7407961232339),c(986.2834314825072,745.8979453033566,328.0626800781203,302.11173490252224),c(523.2740709504807,694.3954681276485,336.89513684945433,597.9294753279087),c(1562.4728579223624,763.6574201915316,422.0652557158894,220.28980669975581),c(30.8672907021351,179.37069637056908,238.47633282601822,184.81456510135357),c(339.5401977234861,447.5387671820139,310.3977665354523,205.98527379717427))
 targetgene="ABT1"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -396,7 +396,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(492.4067802483456,221.99343610218943,309.7668767660713,102.99263689858714),c(243.9985836454489,239.7529109903646,130.59418226186713,174.51530141149487),c(734.9354929079785,673.0840982618383,620.7955330709046,470.9052231529845),c(1074.4756906314647,950.1319065173708,1100.902647569846,743.8357109342404),c(702.5983312200275,1010.5141211371663,1291.4313579229083,1017.3383800315995),c(1647.7253750996879,760.1055252138966,685.7771793171477,608.2287390177673),c(951.0065278229242,864.8864270541301,606.9159581445226,769.0116888427839),c(435.0818118015233,435.1071347602913,275.69882921949727,339.8757017653375),c(89.66213013477338,209.56180368046682,208.8245136651112,304.4004601669353),c(1328.7633711776252,1571.7135276035012,1122.983789498181,1356.6419004808338))
 targetgene="ADIRF"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -431,7 +431,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(216.0710349149457,289.479440677255,192.42137966120518,498.36992632594104),c(1127.391046120839,1198.764554951823,371.5940741654094,370.2013115188104),c(1111.2224652768637,1038.9292809582466,948.227323379644,922.3562815584581),c(1164.137820766238,1204.0923974182756,1686.9992433247955,2089.033985093009),c(48.505742531926586,248.63264843445216,665.5887066969557,248.8988725049189),c(501.2260061632414,387.1565525622184,436.5757204116524,314.69972385679404),c(1975.5066049366465,1797.2588586833258,1628.3264947723626,1289.6966864967521),c(213.13129294331378,376.5008676293133,404.4003421732214,482.921030791153),c(2012.2533795820452,1989.0611874756173,1064.3110409457481,431.9968936579627),c(264.57677744687226,353.4135502746856,442.25372833608145,191.6807408945927))
 targetgene="ABCF1"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -471,7 +471,7 @@
 # outputfile='__OUTPUT_FILE__'
 targetgenelist=c("ACRC","AGAP3","ADCK4","AHRR","ADRBK1","ADK","ADCK1","ADARB2","ACSS2","ADNP")
 # samplelabel=sub('.\\w+.\\w+$','',colnames(gstable)[startindex]);
-samplelabel='HL60.final,KBM7.final_vs_HL60.initial,KBM7.initial pos.'
+samplelabel='HL60_final,KBM7_final_vs_HL60_initial,KBM7_initial pos.'


 # You need to write some codes in front of this code:
@@ -577,7 +577,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(461.5394895462105,502.5931393353569,445.40817718298644,889.1697652244688),c(76.43329126242978,90.5733219296933,447.30084649112945,357.0411412484354),c(258.6972935036084,685.515730683561,533.7327448963265,560.7376897811967),c(232.23961575892122,681.9638357059259,275.69882921949727,467.47213525636494),c(1393.4376945535273,1472.2604682297203,1039.706339939889,532.7008052921368),c(2395.88970688001,2441.927797124084,2462.9936596634266,2461.5240218762324),c(495.34652221997754,605.5980936867728,1159.575396122279,1617.5565806239213),c(682.0201374186041,822.2636873225097,1572.1773052974536,1333.7546478367033),c(961.2956247236359,1097.5355480892247,959.5833392285019,905.1908420753603),c(1940.2297012770634,1289.3378768815162,942.5493154552149,1103.737758763192))
 targetgene="ACRC"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -612,7 +612,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(1387.5582106102636,1120.6228654438523,1214.4628060584262,1111.1761158725344),c(388.0459402554127,509.69692929062694,933.0859689144999,750.1297054113762),c(326.3113588511425,635.7892009966705,960.8451187672639,615.6670961271097),c(1328.7633711776252,1038.9292809582466,1346.3187678590552,1596.3858719281006),c(352.7690365958297,234.42506852391205,310.3977665354523,429.1359870774464),c(693.7791053051318,678.4119407282909,784.1959833405838,895.4637597016048),c(837.8264619150956,719.2587329710938,374.74852301231437,993.8789460713658),c(365.99787546817333,369.3970776740432,333.74068800254935,746.6966175147567),c(707.0079441774753,635.7892009966705,837.1907239685878,1465.3563505404536),c(486.5272963050818,673.0840982618383,784.8268731099647,734.6808098765882))
 targetgene="AGAP3"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -647,7 +647,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(830.4771069860158,864.8864270541301,1349.4732167059603,740.974804353724),c(1481.6299537024847,1994.38902994207,2044.082852794442,1810.9538654668238),c(1234.6916280854039,1299.9935618144214,1357.6747837079133,2232.6514954349277),c(224.89026082984142,188.25043381465665,700.2876440129107,81.24974688666317),c(812.8386551562243,845.3510046771374,946.334654071501,999.6007592323984),c(1978.4463469082782,1751.0842239740703,2659.2003779409174,2851.1794981425537),c(565.9003295391435,776.0890526132542,878.1985589783528,445.72924524444096),c(680.5502664327881,534.5601941340722,550.7667686696135,1025.9210997731484),c(161.68580843975528,333.87812789769293,275.0679394501163,465.18340999195186),c(2523.768482645998,2445.4796921017187,2153.226782897355,1516.8526689897471))
 targetgene="ADCK4"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -682,7 +682,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(345.4196816667499,163.38716897121142,474.42910657451245,481.2044868428432),c(415.9734889859159,372.9489726516783,212.6098522813972,349.03060282298975),c(1.469870985815957,83.46953197442323,0.0,62.9399447713588),c(351.29916561001374,150.9555365494888,288.9475143764983,416.54799812317464),c(561.4907165816957,170.49095892648148,199.3611671243962,411.97054759434855),c(251.34793857452865,221.99343610218943,1564.6066280648815,1502.5481360871656),c(736.4053638937945,893.3015868752103,1114.782222496228,459.46159683091923),c(338.07032673767014,607.3740411755903,378.5338616286004,65.22867003577186),c(1230.2820151279561,525.6804566899846,837.1907239685878,945.2435342025885))
 targetgene="AHRR"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -717,7 +717,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(371.87735941143717,877.3180594758527,2395.4884543396593,1564.9158995424211),c(1109.7525942910477,1138.3823403320275,970.308465307979,999.0285779162951),c(1462.5216308868773,1209.420239884728,1537.4783679814984,1519.14139425416),c(586.4785233405669,987.4268037825386,743.8190381001997,1312.0117578247794),c(1018.6205931704583,717.4827854822763,1070.619938639558,1144.3626322065236),c(1269.9685317449869,1212.9721348623632,1591.1039983788835,1624.9949377332637),c(1321.4140162485455,1795.4829111945082,1478.8056194290655,1237.056005415252),c(908.3802692342615,832.9193722554148,1639.6825106212207,1268.5259778009315),c(923.078979092421,758.3295777250792,1479.4365091984464,1275.964334910274),c(680.5502664327881,634.013253507853,318.5993335374053,631.1159916618979))
 targetgene="ADRBK1"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -752,7 +752,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(1472.810727787589,1829.225913482041,1263.0413183007631,1315.444845721399),c(208.7216799858659,65.71005708624807,292.1019632234033,350.17496545519623),c(1011.2712382413785,1166.7975001531076,652.9709113093356,860.5606994193058),c(557.0811036242477,685.515730683561,875.0441101314478,1019.6271052960126),c(363.0581334965414,825.8155823001447,736.8792506370087,349.602784139093),c(1505.14788947554,451.09066215964896,653.6018010787167,991.0180394908496),c(198.43258308515422,28.41515982108025,249.83234867487624,114.43626322065236),c(438.02155377315523,74.58979453033565,254.87946682992424,231.16125170571777),c(804.0194292413286,472.4020320254591,1336.2245315489592,1203.2973077651598),c(454.19013461713075,490.1615069136343,896.4943622904019,685.4732166917076))
 targetgene="ADK"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -787,7 +787,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(662.9118146029966,1008.7381736483488,1101.533537339227,1694.8010582978616),c(1547.7741480642028,1965.9738701209897,1869.9572764452857,2353.9539344488194),c(1459.5818889152454,1179.2291325748304,1296.4784760779562,1222.1792911965672),c(1193.5352404825571,1355.0479339677643,1622.0175970785526,1905.9359639399652),c(868.6937526172306,701.4992580829187,720.4761166331027,603.6512884889412),c(798.1399452980647,768.9852626579842,1478.8056194290655,1756.0244591209105),c(1168.5474337236858,907.5091667857504,879.4603385171149,977.8578692204745),c(809.8989131845924,687.2916781723785,678.8373918539567,865.7103312642352),c(1246.4505959719315,753.0017352586266,1301.5255942330043,1264.5207085882087),c(826.0674940285679,797.4004224790644,977.8791425405509,2066.7189137649816))
 targetgene="ADCK1"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -822,7 +822,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(1863.7964100146337,1585.9211075140413,1761.4442361117538,1464.211987908247),c(742.2848478370584,598.4943037315028,943.8110949939769,820.5080072920774),c(1568.3523418656262,2083.1864043829455,1810.6536381234716,1887.6261618246608),c(1018.6205931704583,513.248824268262,679.4682816233377,824.5132765048003),c(1140.6198849931827,1191.6607649965529,880.0912282864958,977.8578692204745),c(135.22813069506805,118.98848175077354,351.40560154521734,399.95473995618005),c(665.8515565746286,701.4992580829187,986.7115993118849,746.6966175147567),c(418.9132309575478,300.1351256101601,376.6411923204574,645.4205245644794),c(561.4907165816957,543.4399315781598,881.9838975946388,580.7640358448108),c(442.4311667306031,229.0972260574595,395.5678854018874,651.142337725512))
 targetgene="ADARB2"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -857,7 +857,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(734.9354929079785,358.74139274113816,541.9343118982795,378.7840312603593),c(595.2977492554626,591.3905137762326,1061.787481868224,887.4532212761591),c(1655.0747300287676,943.0281165621008,1069.358159100796,2038.1098479598186),c(626.1650399575977,884.4218494311227,517.3296108924205,858.2719741548927),c(680.5502664327881,747.673892792174,533.1018551269456,1016.194017399393),c(662.9118146029966,777.8650001020718,864.9498738213518,787.3214909580882),c(880.4527205037583,621.5816210861304,671.8976043907657,1040.7978139918332),c(94.07174309222125,447.5387671820139,711.6436598617687,927.5059134033875),c(399.80490814194036,806.280159923152,1147.58849050404,1059.1076161071376),c(698.1887182625796,531.0082991564371,504.0809257354195,347.8862401907832))
 targetgene="ACSS2"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
@@ -892,7 +892,7 @@
 # Do not modify the variables beginning with "__"
 targetmat=list(c(408.62413405683606,523.9045092011671,483.89245311522745,701.494293542599),c(1805.0015705819953,1434.9655709645526,1712.2348341000356,2152.546111180471),c(3017.64513388016,2642.609863360463,1834.6274493599499,3573.2723190648703),c(1649.1952460855039,783.1928425685244,773.4708572611067,1332.0381038883936),c(959.82575373782,1397.6706736993847,1429.5962174173474,2811.126806015325),c(495.34652221997754,301.9110730989776,336.89513684945433,555.015876620164),c(1491.9190506031964,1331.9606166131366,2087.614246881731,1983.1804416139055),c(429.2023278582595,889.7496918975753,567.8007924429005,1132.9190058844583),c(427.7324568724435,573.6310388880576,655.4944703868597,899.4690289143276),c(690.8393633334998,767.2093151691668,1040.33722970927,993.3067647552625))
 targetgene="ADNP"
-collabel=c("HL60.initial","KBM7.initial","HL60.final","KBM7.final")
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")

 # set up color using RColorBrewer
 #library(RColorBrewer)
--- a/test-data/out.test.log.txt	Sat Feb 17 10:40:59 2018 -0500
+++ b/test-data/out.test.log.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -1,112 +1,109 @@
-INFO  @ Mon, 12 Feb 2018 03:40:01: Parameters: /home/maria/miniconda3/envs/mulled-v1-b1e6893952d2d7e4d51a13d040adcd7bea052bfdc57a24d59056014db875e749/bin/mageck test -k /tmp/tmp0xS0Jl/files/000/dataset_21.dat -t HL60.final,KBM7.final -c HL60.initial,KBM7.initial -n output --normcounts-to-file --pdf-report --norm-method median --gene-test-fdr-threshold 0.25 --adjust-method fdr --sort-criteria neg --remove-zero none --gene-lfc-method median
-INFO  @ Mon, 12 Feb 2018 03:40:01: Welcome to MAGeCK v0.5.7. Command: test
-INFO  @ Mon, 12 Feb 2018 03:40:01: Loading count table from /tmp/tmp0xS0Jl/files/000/dataset_21.dat
-INFO  @ Mon, 12 Feb 2018 03:40:01: Processing 1 lines..
-DEBUG @ Mon, 12 Feb 2018 03:40:01: Parsing error in line 1 (usually the header line). Skip this line.
-INFO  @ Mon, 12 Feb 2018 03:40:01: Loaded 999 records.
-INFO  @ Mon, 12 Feb 2018 03:40:01: Loading R template file: /home/maria/miniconda3/envs/mulled-v1-b1e6893952d2d7e4d51a13d040adcd7bea052bfdc57a24d59056014db875e749/lib/python3.6/site-packages/mageck/plot_template.RTemplate.
-INFO  @ Mon, 12 Feb 2018 03:40:01: Loading R template file: /home/maria/miniconda3/envs/mulled-v1-b1e6893952d2d7e4d51a13d040adcd7bea052bfdc57a24d59056014db875e749/lib/python3.6/site-packages/mageck/plot_template_indvgene.RTemplate.
-INFO  @ Mon, 12 Feb 2018 03:40:01: Loading Rnw template file: /home/maria/miniconda3/envs/mulled-v1-b1e6893952d2d7e4d51a13d040adcd7bea052bfdc57a24d59056014db875e749/lib/python3.6/site-packages/mageck/plot_template.Rnw.
-DEBUG @ Mon, 12 Feb 2018 03:40:01: Setting up the visualization module...
-DEBUG @ Mon, 12 Feb 2018 03:40:01: Given sample labels: HL60.final,KBM7.final
-DEBUG @ Mon, 12 Feb 2018 03:40:01: Converted index: 2 3
-INFO  @ Mon, 12 Feb 2018 03:40:01: Treatment samples:HL60.final,KBM7.final
-INFO  @ Mon, 12 Feb 2018 03:40:01: Treatment sample index:2,3
-DEBUG @ Mon, 12 Feb 2018 03:40:01: Given sample labels: HL60.initial,KBM7.initial
-DEBUG @ Mon, 12 Feb 2018 03:40:01: Converted index: 0 1
-INFO  @ Mon, 12 Feb 2018 03:40:01: Control samples:HL60.initial,KBM7.initial
-INFO  @ Mon, 12 Feb 2018 03:40:01: Control sample index:0,1
-DEBUG @ Mon, 12 Feb 2018 03:40:01: Initial (total) size factor: 1.6666455325878438 2.027372749328462 0.7198064117880387 0.6589869375844738
-DEBUG @ Mon, 12 Feb 2018 03:40:01: Median factor: 1.469870985815957 1.7759474888175155 0.6308897693810006 0.5721813161032618
-INFO  @ Mon, 12 Feb 2018 03:40:01: Final size factor: 1.469870985815957 1.7759474888175155 0.6308897693810006 0.5721813161032618
-INFO  @ Mon, 12 Feb 2018 03:40:01: Writing normalized read counts to output.normalized.txt
-DEBUG @ Mon, 12 Feb 2018 03:40:01: Adjusted model: 1.1175084644498339	3.4299551007579927
-INFO  @ Mon, 12 Feb 2018 03:40:01: Raw variance calculation: 0.5 for control, 0.5 for treatment
-INFO  @ Mon, 12 Feb 2018 03:40:01: Adjusted variance calculation: 0.3333333333333333 for raw variance, 0.6666666666666667 for modeling
-INFO  @ Mon, 12 Feb 2018 03:40:01: Use qnorm to reversely calculate sgRNA scores ...
-DEBUG @ Mon, 12 Feb 2018 03:40:01: lower test FDR cutoff: 0.3283283283283283
-DEBUG @ Mon, 12 Feb 2018 03:40:01: higher test FDR cutoff: 0.34534534534534533
-INFO  @ Mon, 12 Feb 2018 03:40:01: Running command: RRA -i output.plow.txt -o output.gene.low.txt -p 0.3283283283283283 --skip-gene NA --skip-gene na
-INFO  @ Mon, 12 Feb 2018 03:40:02: Command message:
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Welcome to RRA v 0.5.7.
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Skipping gene NA for permutation ...
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Skipping gene na for permutation ...
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Reading input file...
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Summary: 999 sgRNAs, 100 genes, 1 lists; skipped sgRNAs:0
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Computing lo-values for each group...
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Computing false discovery rate...
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Increase the number of permutations to 1001 to get precise p values. To avoid this, use the --permutation option.
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Permuting genes with 9 sgRNAs...
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Permuting genes with 10 sgRNAs...
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Number of genes under FDR adjustment: 100
-INFO  @ Mon, 12 Feb 2018 03:40:02:   Saving to output file...
-INFO  @ Mon, 12 Feb 2018 03:40:02:   RRA completed.
-INFO  @ Mon, 12 Feb 2018 03:40:02:
-INFO  @ Mon, 12 Feb 2018 03:40:02: End command message.
-INFO  @ Mon, 12 Feb 2018 03:40:02: Running command: RRA -i output.phigh.txt -o output.gene.high.txt -p 0.34534534534534533 --skip-gene NA --skip-gene na
-INFO  @ Mon, 12 Feb 2018 03:40:03: Command message:
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Welcome to RRA v 0.5.7.
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Skipping gene NA for permutation ...
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Skipping gene na for permutation ...
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Reading input file...
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Summary: 999 sgRNAs, 100 genes, 1 lists; skipped sgRNAs:0
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Computing lo-values for each group...
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Computing false discovery rate...
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Increase the number of permutations to 1001 to get precise p values. To avoid this, use the --permutation option.
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Permuting genes with 9 sgRNAs...
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Permuting genes with 10 sgRNAs...
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Number of genes under FDR adjustment: 100
-INFO  @ Mon, 12 Feb 2018 03:40:03:   Saving to output file...
-INFO  @ Mon, 12 Feb 2018 03:40:03:   RRA completed.
-INFO  @ Mon, 12 Feb 2018 03:40:03:
-INFO  @ Mon, 12 Feb 2018 03:40:03: End command message.
-DEBUG @ Mon, 12 Feb 2018 03:40:03: Sorting the merged items by negative selection...
-INFO  @ Mon, 12 Feb 2018 03:40:03: Loading top 10 genes from output.gene.low.txt: ACIN1,ACTR8,AHCY,ACLY,AATF,AGBL5,AHCTF1,ABT1,ADIRF,ABCF1
-DEBUG @ Mon, 12 Feb 2018 03:40:03: Column index:3
-INFO  @ Mon, 12 Feb 2018 03:40:03: Loading top 10 genes from output.gene.high.txt: ACRC,AGAP3,ADCK4,AHRR,ADRBK1,ADK,ADCK1,ADARB2,ACSS2,ADNP
-DEBUG @ Mon, 12 Feb 2018 03:40:03: Column index:9
-INFO  @ Mon, 12 Feb 2018 03:40:03: Running command: rm output.plow.txt
-INFO  @ Mon, 12 Feb 2018 03:40:03: Running command: rm output.phigh.txt
-INFO  @ Mon, 12 Feb 2018 03:40:03: Running command: rm output.gene.low.txt
-INFO  @ Mon, 12 Feb 2018 03:40:03: Running command: rm output.gene.high.txt
-INFO  @ Mon, 12 Feb 2018 03:40:03: Running command: cd ./; Rscript output.R
-INFO  @ Mon, 12 Feb 2018 03:40:04: Command message:
-INFO  @ Mon, 12 Feb 2018 03:40:04:   null device
-INFO  @ Mon, 12 Feb 2018 03:40:04:             1
-INFO  @ Mon, 12 Feb 2018 03:40:04:   Writing to file output_summary.tex
-INFO  @ Mon, 12 Feb 2018 03:40:04:   Processing code chunks with options ...
-INFO  @ Mon, 12 Feb 2018 03:40:04:    1 : keep.source term verbatim (label = funcdef, output_summary.Rnw:27)
-INFO  @ Mon, 12 Feb 2018 03:40:04:    2 : keep.source term tex (label = tab1, output_summary.Rnw:37)
-INFO  @ Mon, 12 Feb 2018 03:40:04:    3 : keep.source term verbatim (output_summary.Rnw:77)
-INFO  @ Mon, 12 Feb 2018 03:40:04:    4 : keep.source term verbatim pdf  (output_summary.Rnw:83)
-INFO  @ Mon, 12 Feb 2018 03:40:04:    5 : keep.source term verbatim pdf  (output_summary.Rnw:201)
-INFO  @ Mon, 12 Feb 2018 03:40:04:    6 : keep.source term verbatim pdf  (output_summary.Rnw:345)
-INFO  @ Mon, 12 Feb 2018 03:40:04:    7 : keep.source term verbatim pdf  (output_summary.Rnw:489)
-INFO  @ Mon, 12 Feb 2018 03:40:04:    8 : keep.source term verbatim (output_summary.Rnw:567)
-INFO  @ Mon, 12 Feb 2018 03:40:04:    9 : keep.source term verbatim pdf  (output_summary.Rnw:573)
-INFO  @ Mon, 12 Feb 2018 03:40:04:   10 : keep.source term verbatim pdf  (output_summary.Rnw:691)
-INFO  @ Mon, 12 Feb 2018 03:40:04:   11 : keep.source term verbatim pdf  (output_summary.Rnw:835)
-INFO  @ Mon, 12 Feb 2018 03:40:04:   12 : keep.source term verbatim pdf  (output_summary.Rnw:979)
-INFO  @ Mon, 12 Feb 2018 03:40:04:
-INFO  @ Mon, 12 Feb 2018 03:40:04:   You can now run (pdf)latex on ‘output_summary.tex’
-INFO  @ Mon, 12 Feb 2018 03:40:04:   Error in texi2dvi("output_summary.tex", pdf = TRUE) :
-INFO  @ Mon, 12 Feb 2018 03:40:04:     pdflatex is not available
-INFO  @ Mon, 12 Feb 2018 03:40:04:   Execution halted
-INFO  @ Mon, 12 Feb 2018 03:40:04:
-INFO  @ Mon, 12 Feb 2018 03:40:04: End command message.
-INFO  @ Mon, 12 Feb 2018 03:40:04: Running command: cd ./; rm -rf output_summary-*.pdf
-INFO  @ Mon, 12 Feb 2018 03:40:04: Command message:
-INFO  @ Mon, 12 Feb 2018 03:40:04:
-INFO  @ Mon, 12 Feb 2018 03:40:04: End command message.
-INFO  @ Mon, 12 Feb 2018 03:40:04: Running command: cd ./; rm -rf output_summary.aux
-INFO  @ Mon, 12 Feb 2018 03:40:04: Command message:
-INFO  @ Mon, 12 Feb 2018 03:40:04:
-INFO  @ Mon, 12 Feb 2018 03:40:04: End command message.
-INFO  @ Mon, 12 Feb 2018 03:40:04: Running command: cd ./; rm -rf output_summary.tex
-INFO  @ Mon, 12 Feb 2018 03:40:04: Command message:
-INFO  @ Mon, 12 Feb 2018 03:40:04:
-INFO  @ Mon, 12 Feb 2018 03:40:04: End command message.
-INFO  @ Mon, 12 Feb 2018 03:40:04: Running command: cd ./; rm -rf output_summary.toc
-INFO  @ Mon, 12 Feb 2018 03:40:04: Command message:
-INFO  @ Mon, 12 Feb 2018 03:40:04:
-INFO  @ Mon, 12 Feb 2018 03:40:04: End command message.
+INFO  @ Mon, 26 Mar 2018 08:37:53: Parameters: /Users/doylemaria/miniconda3/envs/mulled-v1-9ee130591ca78526e74a59d8d6dc03cb7db20645470975762936caeac62972dc/bin/mageck test -k /private/var/folders/zn/m_qvr9zd7tq0wdtsbq255f8xypj_zg/T/tmpTX65kA/files/000/dataset_4.dat -t HL60_final,KBM7_final -c HL60_initial,KBM7_initial -n output --normcounts-to-file --pdf-report --norm-method median --adjust-method fdr --sort-criteria neg --remove-zero both --gene-lfc-method median
+INFO  @ Mon, 26 Mar 2018 08:37:53: Welcome to MAGeCK v0.5.7. Command: test
+INFO  @ Mon, 26 Mar 2018 08:37:53: Loading count table from /private/var/folders/zn/m_qvr9zd7tq0wdtsbq255f8xypj_zg/T/tmpTX65kA/files/000/dataset_4.dat
+INFO  @ Mon, 26 Mar 2018 08:37:53: Processing 1 lines..
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Parsing error in line 1 (usually the header line). Skip this line.
+INFO  @ Mon, 26 Mar 2018 08:37:53: Loaded 999 records.
+INFO  @ Mon, 26 Mar 2018 08:37:53: Loading R template file: /Users/doylemaria/miniconda3/envs/mulled-v1-9ee130591ca78526e74a59d8d6dc03cb7db20645470975762936caeac62972dc/lib/python3.6/site-packages/mageck/plot_template.RTemplate.
+INFO  @ Mon, 26 Mar 2018 08:37:53: Loading R template file: /Users/doylemaria/miniconda3/envs/mulled-v1-9ee130591ca78526e74a59d8d6dc03cb7db20645470975762936caeac62972dc/lib/python3.6/site-packages/mageck/plot_template_indvgene.RTemplate.
+INFO  @ Mon, 26 Mar 2018 08:37:53: Loading Rnw template file: /Users/doylemaria/miniconda3/envs/mulled-v1-9ee130591ca78526e74a59d8d6dc03cb7db20645470975762936caeac62972dc/lib/python3.6/site-packages/mageck/plot_template.Rnw.
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Setting up the visualization module...
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Given sample labels: HL60_final,KBM7_final
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Converted index: 2 3
+INFO  @ Mon, 26 Mar 2018 08:37:53: Treatment samples:HL60_final,KBM7_final
+INFO  @ Mon, 26 Mar 2018 08:37:53: Treatment sample index:2,3
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Given sample labels: HL60_initial,KBM7_initial
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Converted index: 0 1
+INFO  @ Mon, 26 Mar 2018 08:37:53: Control samples:HL60_initial,KBM7_initial
+INFO  @ Mon, 26 Mar 2018 08:37:53: Control sample index:0,1
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Initial (total) size factor: 1.6666455325878438 2.027372749328462 0.7198064117880387 0.6589869375844738
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Median factor: 1.469870985815957 1.7759474888175155 0.6308897693810006 0.5721813161032618
+INFO  @ Mon, 26 Mar 2018 08:37:53: Final size factor: 1.469870985815957 1.7759474888175155 0.6308897693810006 0.5721813161032618
+INFO  @ Mon, 26 Mar 2018 08:37:53: Writing normalized read counts to output.normalized.txt
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Adjusted model: 1.1175084644498339	3.4299551007579927
+INFO  @ Mon, 26 Mar 2018 08:37:53: Raw variance calculation: 0.5 for control, 0.5 for treatment
+INFO  @ Mon, 26 Mar 2018 08:37:53: Adjusted variance calculation: 0.3333333333333333 for raw variance, 0.6666666666666667 for modeling
+INFO  @ Mon, 26 Mar 2018 08:37:53: Use qnorm to reversely calculate sgRNA scores ...
+DEBUG @ Mon, 26 Mar 2018 08:37:53: lower test FDR cutoff: 0.3283283283283283
+DEBUG @ Mon, 26 Mar 2018 08:37:53: higher test FDR cutoff: 0.34534534534534533
+INFO  @ Mon, 26 Mar 2018 08:37:53: Running command: RRA -i output.plow.txt -o output.gene.low.txt -p 0.3283283283283283 --skip-gene NA --skip-gene na
+INFO  @ Mon, 26 Mar 2018 08:37:53: Command message:
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Welcome to RRA v 0.5.7.
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Skipping gene NA for permutation ...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Skipping gene na for permutation ...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Reading input file...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Summary: 999 sgRNAs, 100 genes, 1 lists; skipped sgRNAs:0
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Computing lo-values for each group...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Computing false discovery rate...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Increase the number of permutations to 1001 to get precise p values. To avoid this, use the --permutation option.
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Permuting genes with 9 sgRNAs...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Permuting genes with 10 sgRNAs...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Number of genes under FDR adjustment: 100
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Saving to output file...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   RRA completed.
+INFO  @ Mon, 26 Mar 2018 08:37:53:
+INFO  @ Mon, 26 Mar 2018 08:37:53: End command message.
+INFO  @ Mon, 26 Mar 2018 08:37:53: Running command: RRA -i output.phigh.txt -o output.gene.high.txt -p 0.34534534534534533 --skip-gene NA --skip-gene na
+INFO  @ Mon, 26 Mar 2018 08:37:53: Command message:
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Welcome to RRA v 0.5.7.
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Skipping gene NA for permutation ...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Skipping gene na for permutation ...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Reading input file...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Summary: 999 sgRNAs, 100 genes, 1 lists; skipped sgRNAs:0
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Computing lo-values for each group...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Computing false discovery rate...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Increase the number of permutations to 1001 to get precise p values. To avoid this, use the --permutation option.
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Permuting genes with 9 sgRNAs...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Permuting genes with 10 sgRNAs...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Number of genes under FDR adjustment: 100
+INFO  @ Mon, 26 Mar 2018 08:37:53:   Saving to output file...
+INFO  @ Mon, 26 Mar 2018 08:37:53:   RRA completed.
+INFO  @ Mon, 26 Mar 2018 08:37:53:
+INFO  @ Mon, 26 Mar 2018 08:37:53: End command message.
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Sorting the merged items by negative selection...
+INFO  @ Mon, 26 Mar 2018 08:37:53: Loading top 10 genes from output.gene.low.txt: ACIN1,ACTR8,AHCY,ACLY,AATF,AGBL5,AHCTF1,ABT1,ADIRF,ABCF1
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Column index:3
+INFO  @ Mon, 26 Mar 2018 08:37:53: Loading top 10 genes from output.gene.high.txt: ACRC,AGAP3,ADCK4,AHRR,ADRBK1,ADK,ADCK1,ADARB2,ACSS2,ADNP
+DEBUG @ Mon, 26 Mar 2018 08:37:53: Column index:9
+INFO  @ Mon, 26 Mar 2018 08:37:53: Running command: rm output.plow.txt
+INFO  @ Mon, 26 Mar 2018 08:37:53: Running command: rm output.phigh.txt
+INFO  @ Mon, 26 Mar 2018 08:37:54: Running command: rm output.gene.low.txt
+INFO  @ Mon, 26 Mar 2018 08:37:54: Running command: rm output.gene.high.txt
+INFO  @ Mon, 26 Mar 2018 08:37:54: Running command: cd ./; Rscript output.R
+INFO  @ Mon, 26 Mar 2018 08:37:59: Command message:
+INFO  @ Mon, 26 Mar 2018 08:37:59:   null device
+INFO  @ Mon, 26 Mar 2018 08:37:59:             1
+INFO  @ Mon, 26 Mar 2018 08:37:59:   Writing to file output_summary.tex
+INFO  @ Mon, 26 Mar 2018 08:37:59:   Processing code chunks with options ...
+INFO  @ Mon, 26 Mar 2018 08:37:59:    1 : keep.source term verbatim (label = funcdef, output_summary.Rnw:27)
+INFO  @ Mon, 26 Mar 2018 08:37:59:    2 : keep.source term tex (label = tab1, output_summary.Rnw:37)
+INFO  @ Mon, 26 Mar 2018 08:37:59:    3 : keep.source term verbatim (output_summary.Rnw:77)
+INFO  @ Mon, 26 Mar 2018 08:37:59:    4 : keep.source term verbatim pdf  (output_summary.Rnw:83)
+INFO  @ Mon, 26 Mar 2018 08:37:59:    5 : keep.source term verbatim pdf  (output_summary.Rnw:201)
+INFO  @ Mon, 26 Mar 2018 08:37:59:    6 : keep.source term verbatim pdf  (output_summary.Rnw:345)
+INFO  @ Mon, 26 Mar 2018 08:37:59:    7 : keep.source term verbatim pdf  (output_summary.Rnw:489)
+INFO  @ Mon, 26 Mar 2018 08:37:59:    8 : keep.source term verbatim (output_summary.Rnw:567)
+INFO  @ Mon, 26 Mar 2018 08:37:59:    9 : keep.source term verbatim pdf  (output_summary.Rnw:573)
+INFO  @ Mon, 26 Mar 2018 08:37:59:   10 : keep.source term verbatim pdf  (output_summary.Rnw:691)
+INFO  @ Mon, 26 Mar 2018 08:37:59:   11 : keep.source term verbatim pdf  (output_summary.Rnw:835)
+INFO  @ Mon, 26 Mar 2018 08:37:59:   12 : keep.source term verbatim pdf  (output_summary.Rnw:979)
+INFO  @ Mon, 26 Mar 2018 08:37:59:
+INFO  @ Mon, 26 Mar 2018 08:37:59:   You can now run (pdf)latex on ‘output_summary.tex’
+INFO  @ Mon, 26 Mar 2018 08:37:59:
+INFO  @ Mon, 26 Mar 2018 08:37:59: End command message.
+INFO  @ Mon, 26 Mar 2018 08:37:59: Running command: cd ./; rm -rf output_summary-*.pdf
+INFO  @ Mon, 26 Mar 2018 08:37:59: Command message:
+INFO  @ Mon, 26 Mar 2018 08:37:59:
+INFO  @ Mon, 26 Mar 2018 08:37:59: End command message.
+INFO  @ Mon, 26 Mar 2018 08:37:59: Running command: cd ./; rm -rf output_summary.aux
+INFO  @ Mon, 26 Mar 2018 08:37:59: Command message:
+INFO  @ Mon, 26 Mar 2018 08:37:59:
+INFO  @ Mon, 26 Mar 2018 08:37:59: End command message.
+INFO  @ Mon, 26 Mar 2018 08:37:59: Running command: cd ./; rm -rf output_summary.tex
+INFO  @ Mon, 26 Mar 2018 08:37:59: Command message:
+INFO  @ Mon, 26 Mar 2018 08:37:59:
+INFO  @ Mon, 26 Mar 2018 08:37:59: End command message.
+INFO  @ Mon, 26 Mar 2018 08:37:59: Running command: cd ./; rm -rf output_summary.toc
+INFO  @ Mon, 26 Mar 2018 08:37:59: Command message:
+INFO  @ Mon, 26 Mar 2018 08:37:59:
+INFO  @ Mon, 26 Mar 2018 08:37:59: End command message.
--- a/test-data/out.test.normalized.txt	Sat Feb 17 10:40:59 2018 -0500
+++ b/test-data/out.test.normalized.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -1,4 +1,4 @@
-sgRNA	Gene	HL60.initial	KBM7.initial	HL60.final	KBM7.final
+sgRNA	Gene	HL60_initial	KBM7_initial	HL60_final	KBM7_final
 A1CF_m52595977	A1CF	313.08251997879887	486.6096119359992	557.0756663634236	100.13173031807082
 A1CF_m52596017	A1CF	432.1420698298914	731.6903653928164	980.402701618075	1081.994868751268
 A1CF_m52596056	A1CF	618.8156850285179	653.5486758848457	357.0836094696463	434.28561892237576
Binary file test-data/out.test.pdf has changed
Binary file test-data/out.test.plots.pdf has changed
Binary file test-data/out.test.report.pdf has changed
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/output.count_normalized.txt	Wed Apr 04 11:02:50 2018 -0400
@@ -0,0 +1,2551 @@
+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
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/output_countsummary.Rnw	Wed Apr 04 11:02:50 2018 -0400
@@ -0,0 +1,237 @@
+% 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}
+
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/output_summary.Rnw	Wed Apr 04 11:02:50 2018 -0400
@@ -0,0 +1,1063 @@
+% 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}
+
+\begin{document}
+\setkeys{Gin}{width=0.9\textwidth}
+
+\title{MAGeCK Comparison Report}
+\author{Wei Li}
+
+\maketitle
+
+
+\tableofcontents
+
+\section{Summary}
+
+%Function definition
+<<label=funcdef,include=FALSE,echo=FALSE>>=
+genreporttable<-function(comparisons,ngenes,direction,fdr1,fdr5,fdr25){
+  xtb=data.frame(Comparison=comparisons,Genes=ngenes,Selection=direction,FDR1=fdr1,FDR5=fdr5,FDR25=fdr25);
+  colnames(xtb)=c("Comparison","Genes","Selection","FDR1%","FDR5%","FDR25%");
+  return (xtb);
+}
+@
+
+The statistics of comparisons is as indicated in the following table.
+
+<<label=tab1,echo=FALSE,results=tex>>=
+library(xtable)
+comparisons=c("HL60_final,KBM7_final_vs_HL60_initial,KBM7_initial neg.","HL60_final,KBM7_final_vs_HL60_initial,KBM7_initial pos.");
+ngenes=c(100,100);
+direction=c("negative","positive");
+fdr1=c(0,0);
+fdr5=c(2,0);
+fdr25=c(9,1);
+
+cptable=genreporttable(comparisons,ngenes,direction,fdr1,fdr5,fdr25);
+print(xtable(cptable, caption = "Summary of comparisons", label = "tab:one",
+    digits = c(0, 0, 0, 0, 0, 0, 0),
+    table.placement = "tbp",
+    caption.placement = "top"))
+@
+
+The meanings of the columns are as follows.
+
+\begin{itemize}
+\item \textbf{Comparison}: The label for comparisons;
+\item \textbf{Genes}: The number of genes in the library;
+\item \textbf{Selection}: The direction of selection, either positive selection or negative selection;
+\item \textbf{FDR1\%}: The number of genes with FDR $<$ 1\%;
+\item \textbf{FDR5\%}: The number of genes with FDR $<$ 5\%;
+\item \textbf{FDR25\%}: The number of genes with FDR $<$ 25\%;
+\end{itemize}
+
+The following figures show:
+
+\begin{itemize}
+\item Individual sgRNA read counts of selected genes in selected samples;
+\item The distribution of RRA scores and p values of all genes; and
+\item The RRA scores and p values of selected genes.
+\end{itemize}
+
+
+\newpage\section{Comparison results of HL60 final,KBM7 final vs HL60 initial,KBM7 initial neg.}
+
+The following figure shows the distribution of RRA score in the comparison HL60 final,KBM7 final vs HL60 initial,KBM7 initial neg., and the RRA scores of 10 genes.
+
+<<echo=FALSE>>=
+gstable=read.table('output.gene_summary.txt',header=T)
+@
+%
+
+
+<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=#
+#
+# parameters
+# Do not modify the variables beginning with "__"
+
+# gstablename='__GENE_SUMMARY_FILE__'
+startindex=3
+# outputfile='__OUTPUT_FILE__'
+targetgenelist=c("ACIN1","ACTR8","AHCY","ACLY","AATF","AGBL5","AHCTF1","ABT1","ADIRF","ABCF1")
+# samplelabel=sub('.\w+.\w+$','',colnames(gstable)[startindex]);
+samplelabel='HL60_final,KBM7_final_vs_HL60_initial,KBM7_initial neg.'
+
+
+# You need to write some codes in front of this code:
+# gstable=read.table(gstablename,header=T)
+# pdf(file=outputfile,width=6,height=6)
+
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+######
+# function definition
+
+plotrankedvalues<-function(val, tglist, ...){
+
+  plot(val,log='y',ylim=c(max(val),min(val)),type='l',lwd=2, ...)
+  if(length(tglist)>0){
+    for(i in 1:length(tglist)){
+      targetgene=tglist[i];
+      tx=which(names(val)==targetgene);ty=val[targetgene];
+      points(tx,ty,col=colors[(i %% length(colors)) ],cex=2,pch=20)
+      # text(tx+50,ty,targetgene,col=colors[i])
+    }
+    legend('topright',tglist,pch=20,pt.cex = 2,cex=1,col=colors)
+  }
+}
+
+
+
+plotrandvalues<-function(val,targetgenelist, ...){
+  # choose the one with the best distance distribution
+
+  mindiffvalue=0;
+  randval=val;
+  for(i in 1:20){
+    randval0=sample(val)
+    vindex=sort(which(names(randval0) %in% targetgenelist))
+    if(max(vindex)>0.9*length(val)){
+      # print('pass...')
+      next;
+    }
+    mindiffind=min(diff(vindex));
+    if (mindiffind > mindiffvalue){
+      mindiffvalue=mindiffind;
+      randval=randval0;
+      # print(paste('Diff: ',mindiffvalue))
+    }
+  }
+  plot(randval,log='y',ylim=c(max(randval),min(randval)),pch=20,col='grey', ...)
+
+  if(length(targetgenelist)>0){
+    for(i in 1:length(targetgenelist)){
+      targetgene=targetgenelist[i];
+      tx=which(names(randval)==targetgene);ty=randval[targetgene];
+      points(tx,ty,col=colors[(i %% length(colors)) ],cex=2,pch=20)
+      text(tx+50,ty,targetgene,col=colors[i])
+    }
+  }
+
+}
+
+
+
+
+# set.seed(1235)
+
+
+
+pvec=gstable[,startindex]
+names(pvec)=gstable[,'id']
+pvec=sort(pvec);
+
+plotrankedvalues(pvec,targetgenelist,xlab='Genes',ylab='RRA score',main=paste('Distribution of RRA scores in \n',samplelabel))
+
+# plotrandvalues(pvec,targetgenelist,xlab='Genes',ylab='RRA score',main=paste('Distribution of RRA scores in \n',samplelabel))
+
+
+pvec=gstable[,startindex+1]
+names(pvec)=gstable[,'id']
+pvec=sort(pvec);
+
+plotrankedvalues(pvec,targetgenelist,xlab='Genes',ylab='p value',main=paste('Distribution of p values in \n',samplelabel))
+
+# plotrandvalues(pvec,targetgenelist,xlab='Genes',ylab='p value',main=paste('Distribution of p values in \n',samplelabel))
+
+
+
+# you need to write after this code:
+# dev.off()
+
+
+
+
+@
+%%
+\clearpage
+\newpage
+The following figures show the distribution of sgRNA read counts (normalized) of selected genes in selected samples.
+%
+
+
+<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=
+par(mfrow=c(2,2));
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(561.4907165816957,824.0396348113272,428.37415340969943,579.047491896501),c(3424.79939695118,3818.2871009576584,1992.3498917052,690.0506672205338),c(846.6456878299913,985.6508562937211,335.0024675413113,415.97581680707134),c(2432.636481525409,2122.257249136931,1067.465489792653,155.6333179800872),c(1308.1851773762019,2186.1913587343615,1482.5909580453515,997.3120339679854),c(405.68439208520414,268.16807081144486,170.34023773287015,109.85881269182627),c(640.8637498157573,559.4234589775174,711.6436598617687,632.2603542941043),c(946.5969148654764,470.6260845366416,663.0651476194316,457.74505288260946),c(246.9383256170808,177.59474888175154,28.39003962214503,0.0),c(568.8400715107754,612.7018836420428,564.0154538266146,270.64176251684285))
+targetgene="ACIN1"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(2484.0819660289676,2349.578527705573,2172.7843657481662,910.9126552363929),c(992.1629154257711,1005.1862786707138,743.8190381001997,200.26346063614164),c(1267.0287897733551,1156.1418152202027,251.09412821363824,42.34141739164138),c(1500.738276518092,1315.977089213779,800.5991173444897,1476.2277955464156),c(1925.5309914189038,2054.7712445618654,194.94493873872918,235.16652091844063),c(351.29916561001374,781.4168950797068,227.75120674654121,624.2498158686586),c(1719.74905340467,1006.9622261595313,356.45271970026533,222.0063506480656),c(903.9706562768137,1445.6212558974576,1482.5909580453515,1055.1023468944147),c(651.152846716469,1081.552020689867,576.0023594448536,1072.2677863775127),c(285.1549712482957,408.46792242802854,99.0496937928171,44.630142656054424))
+targetgene="ACTR8"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(301.3235520922712,657.1005708624807,228.38209651592223,137.32351586478285),c(1142.0897559789987,1099.311495578042,112.92926871919911,100.70391163417409),c(789.3207193831689,671.3081507730209,723.6305654800077,588.7745742702564),c(392.45555321286054,412.0198174056636,334.37157777193033,213.99581222261992),c(2009.3136376104133,2235.917888421252,2437.1271791188055,1937.9781176417478),c(1071.5359486598327,406.69197493921104,645.4002340767636,349.602784139093),c(61.7345814042702,218.44154112455442,614.4866353770946,452.5954210376801),c(651.152846716469,879.0940069646701,237.21455328725622,18.88198343140764),c(1625.6773103124485,1410.1023061211074,2146.286995434164,1986.613529510525),c(1053.8974968300413,882.6459019423052,106.6203710253891,105.85354347910344))
+targetgene="AHCY"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(1268.498660759171,1411.8782536099247,1136.2324746551822,603.6512884889412),c(327.78122983695846,454.642557137284,51.73296108924205,24.031615276336996),c(132.28838872343613,241.5288584791821,123.02350502929512,65.80085135187511),c(495.34652221997754,586.0626713097802,279.4841678357833,243.74924065998954),c(1009.8013672555626,1102.8633905556771,1237.174837756142,1004.7503910773278),c(877.5129785321263,715.7068379934587,538.1489732819936,594.496387431289),c(1594.8100196103135,1108.1912330221296,605.6541786057605,127.59643349102738),c(314.5523909646148,252.1845434120872,88.95545748272109,359.9020478289517),c(512.984974049769,269.94401830026237,205.67006481820619,126.45207085882086),c(761.3931706526657,475.9539270030942,559.5992254409475,596.7851126957021))
+targetgene="ACLY"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+par(mfrow=c(1,1));
+@
+%
+
+
+<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=
+par(mfrow=c(2,2));
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(659.9720726313648,809.832054900787,880.7221180558769,802.1982051767731),c(724.6463960072668,1086.8798631563195,695.2405258578626,307.26136674745163),c(836.3565909292796,1289.3378768815162,468.75109865008346,177.94838930811443),c(367.46774645398926,571.85509139924,300.30353022535627,116.72498848506541),c(518.8644579930328,632.2373060190355,627.7353205340956,308.9779106957614),c(405.68439208520414,259.28833336735727,324.27734146183434,166.5047629860492),c(2096.0360257735547,1960.6460276545372,1573.4390848362154,629.9716290296913),c(277.8056163192159,435.1071347602913,182.32714335110919,0.0),c(995.1026573974029,477.7298744919117,728.0467938656747,275.21921304566894),c(2185.6981559083283,1482.9161531626255,1741.8866532609427,1862.4501839161173))
+targetgene="AATF"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(640.8637498157573,602.0461987091378,307.2433176885473,192.82510352679924),c(354.23890758164566,280.5997032331675,204.4082852794442,275.79139436177223),c(779.0316224824572,932.3724316291956,778.5179754161547,905.1908420753603),c(624.6951689717818,554.0956165110648,370.96318439602834,558.4489645167836),c(1133.270530064103,1394.1187787217498,639.0913363829536,1131.2024619361487),c(423.32284391499564,412.0198174056636,224.59675789963623,426.84726181303336),c(296.91393913482335,829.3674772777797,489.5704610396565,1233.0507362025292),c(684.959879390236,546.9918265557948,394.30610586312537,566.4595029422292),c(440.96129574478715,630.461358530218,434.6830511035094,457.1728715665062),c(1108.2827233052317,1969.5257650986248,1066.2037102538911,1333.7546478367033))
+targetgene="AGBL5"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(196.96271209933826,301.9110730989776,423.9579250240324,34.33087896619571),c(1106.8128523194157,1056.6887558464218,1743.1484327997048,807.3478370217025),c(748.1643317803222,488.3855594248168,239.73811236478022,477.77139894622366),c(1095.053884432888,882.6459019423052,837.8216137379688,365.05167967388104),c(677.6105244611563,316.11865300951774,613.8557456077136,819.3636446598709),c(1078.8853035889126,1609.008424868669,348.88204246769334,193.96946615900578),c(1437.533824128006,1095.759600600407,320.4920028455483,161.35513114111984),c(845.1758168441753,660.6524658401157,541.3034221288985,640.8430740356532),c(551.2016196809839,740.570102836904,1103.42620664737,622.5332719203489),c(601.1772331987264,900.4053768304803,735.6174710982467,754.1349746240991))
+targetgene="AHCTF1"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(487.9971672908978,367.6211301852257,312.2904358435953,441.15179471561487),c(358.6485205390935,394.2603425174884,593.0363832181406,268.35303725242983),c(1743.266989177725,1980.1814500315297,837.1907239685878,281.5132075228048),c(1597.7497615819454,1465.1566782744503,1065.57282048451,992.7345834391593),c(119.05954985109253,378.2768151181308,185.48159219801417,128.7407961232339),c(986.2834314825072,745.8979453033566,328.0626800781203,302.11173490252224),c(523.2740709504807,694.3954681276485,336.89513684945433,597.9294753279087),c(1562.4728579223624,763.6574201915316,422.0652557158894,220.28980669975581),c(30.8672907021351,179.37069637056908,238.47633282601822,184.81456510135357),c(339.5401977234861,447.5387671820139,310.3977665354523,205.98527379717427))
+targetgene="ABT1"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+par(mfrow=c(1,1));
+@
+%
+
+
+<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=
+par(mfrow=c(2,2));
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(492.4067802483456,221.99343610218943,309.7668767660713,102.99263689858714),c(243.9985836454489,239.7529109903646,130.59418226186713,174.51530141149487),c(734.9354929079785,673.0840982618383,620.7955330709046,470.9052231529845),c(1074.4756906314647,950.1319065173708,1100.902647569846,743.8357109342404),c(702.5983312200275,1010.5141211371663,1291.4313579229083,1017.3383800315995),c(1647.7253750996879,760.1055252138966,685.7771793171477,608.2287390177673),c(951.0065278229242,864.8864270541301,606.9159581445226,769.0116888427839),c(435.0818118015233,435.1071347602913,275.69882921949727,339.8757017653375),c(89.66213013477338,209.56180368046682,208.8245136651112,304.4004601669353),c(1328.7633711776252,1571.7135276035012,1122.983789498181,1356.6419004808338))
+targetgene="ADIRF"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(216.0710349149457,289.479440677255,192.42137966120518,498.36992632594104),c(1127.391046120839,1198.764554951823,371.5940741654094,370.2013115188104),c(1111.2224652768637,1038.9292809582466,948.227323379644,922.3562815584581),c(1164.137820766238,1204.0923974182756,1686.9992433247955,2089.033985093009),c(48.505742531926586,248.63264843445216,665.5887066969557,248.8988725049189),c(501.2260061632414,387.1565525622184,436.5757204116524,314.69972385679404),c(1975.5066049366465,1797.2588586833258,1628.3264947723626,1289.6966864967521),c(213.13129294331378,376.5008676293133,404.4003421732214,482.921030791153),c(2012.2533795820452,1989.0611874756173,1064.3110409457481,431.9968936579627),c(264.57677744687226,353.4135502746856,442.25372833608145,191.6807408945927))
+targetgene="ABCF1"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+par(mfrow=c(1,1));
+@
+
+\newpage\section{Comparison results of HL60 final,KBM7 final vs HL60 initial,KBM7 initial pos.}
+
+The following figure shows the distribution of RRA score in the comparison HL60 final,KBM7 final vs HL60 initial,KBM7 initial pos., and the RRA scores of 10 genes.
+
+<<echo=FALSE>>=
+gstable=read.table('output.gene_summary.txt',header=T)
+@
+%
+
+
+<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=#
+#
+# parameters
+# Do not modify the variables beginning with "__"
+
+# gstablename='__GENE_SUMMARY_FILE__'
+startindex=9
+# outputfile='__OUTPUT_FILE__'
+targetgenelist=c("ACRC","AGAP3","ADCK4","AHRR","ADRBK1","ADK","ADCK1","ADARB2","ACSS2","ADNP")
+# samplelabel=sub('.\w+.\w+$','',colnames(gstable)[startindex]);
+samplelabel='HL60_final,KBM7_final_vs_HL60_initial,KBM7_initial pos.'
+
+
+# You need to write some codes in front of this code:
+# gstable=read.table(gstablename,header=T)
+# pdf(file=outputfile,width=6,height=6)
+
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+######
+# function definition
+
+plotrankedvalues<-function(val, tglist, ...){
+
+  plot(val,log='y',ylim=c(max(val),min(val)),type='l',lwd=2, ...)
+  if(length(tglist)>0){
+    for(i in 1:length(tglist)){
+      targetgene=tglist[i];
+      tx=which(names(val)==targetgene);ty=val[targetgene];
+      points(tx,ty,col=colors[(i %% length(colors)) ],cex=2,pch=20)
+      # text(tx+50,ty,targetgene,col=colors[i])
+    }
+    legend('topright',tglist,pch=20,pt.cex = 2,cex=1,col=colors)
+  }
+}
+
+
+
+plotrandvalues<-function(val,targetgenelist, ...){
+  # choose the one with the best distance distribution
+
+  mindiffvalue=0;
+  randval=val;
+  for(i in 1:20){
+    randval0=sample(val)
+    vindex=sort(which(names(randval0) %in% targetgenelist))
+    if(max(vindex)>0.9*length(val)){
+      # print('pass...')
+      next;
+    }
+    mindiffind=min(diff(vindex));
+    if (mindiffind > mindiffvalue){
+      mindiffvalue=mindiffind;
+      randval=randval0;
+      # print(paste('Diff: ',mindiffvalue))
+    }
+  }
+  plot(randval,log='y',ylim=c(max(randval),min(randval)),pch=20,col='grey', ...)
+
+  if(length(targetgenelist)>0){
+    for(i in 1:length(targetgenelist)){
+      targetgene=targetgenelist[i];
+      tx=which(names(randval)==targetgene);ty=randval[targetgene];
+      points(tx,ty,col=colors[(i %% length(colors)) ],cex=2,pch=20)
+      text(tx+50,ty,targetgene,col=colors[i])
+    }
+  }
+
+}
+
+
+
+
+# set.seed(1235)
+
+
+
+pvec=gstable[,startindex]
+names(pvec)=gstable[,'id']
+pvec=sort(pvec);
+
+plotrankedvalues(pvec,targetgenelist,xlab='Genes',ylab='RRA score',main=paste('Distribution of RRA scores in \n',samplelabel))
+
+# plotrandvalues(pvec,targetgenelist,xlab='Genes',ylab='RRA score',main=paste('Distribution of RRA scores in \n',samplelabel))
+
+
+pvec=gstable[,startindex+1]
+names(pvec)=gstable[,'id']
+pvec=sort(pvec);
+
+plotrankedvalues(pvec,targetgenelist,xlab='Genes',ylab='p value',main=paste('Distribution of p values in \n',samplelabel))
+
+# plotrandvalues(pvec,targetgenelist,xlab='Genes',ylab='p value',main=paste('Distribution of p values in \n',samplelabel))
+
+
+
+# you need to write after this code:
+# dev.off()
+
+
+
+
+@
+%%
+\clearpage
+\newpage
+The following figures show the distribution of sgRNA read counts (normalized) of selected genes in selected samples.
+%
+
+
+<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=
+par(mfrow=c(2,2));
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(461.5394895462105,502.5931393353569,445.40817718298644,889.1697652244688),c(76.43329126242978,90.5733219296933,447.30084649112945,357.0411412484354),c(258.6972935036084,685.515730683561,533.7327448963265,560.7376897811967),c(232.23961575892122,681.9638357059259,275.69882921949727,467.47213525636494),c(1393.4376945535273,1472.2604682297203,1039.706339939889,532.7008052921368),c(2395.88970688001,2441.927797124084,2462.9936596634266,2461.5240218762324),c(495.34652221997754,605.5980936867728,1159.575396122279,1617.5565806239213),c(682.0201374186041,822.2636873225097,1572.1773052974536,1333.7546478367033),c(961.2956247236359,1097.5355480892247,959.5833392285019,905.1908420753603),c(1940.2297012770634,1289.3378768815162,942.5493154552149,1103.737758763192))
+targetgene="ACRC"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(1387.5582106102636,1120.6228654438523,1214.4628060584262,1111.1761158725344),c(388.0459402554127,509.69692929062694,933.0859689144999,750.1297054113762),c(326.3113588511425,635.7892009966705,960.8451187672639,615.6670961271097),c(1328.7633711776252,1038.9292809582466,1346.3187678590552,1596.3858719281006),c(352.7690365958297,234.42506852391205,310.3977665354523,429.1359870774464),c(693.7791053051318,678.4119407282909,784.1959833405838,895.4637597016048),c(837.8264619150956,719.2587329710938,374.74852301231437,993.8789460713658),c(365.99787546817333,369.3970776740432,333.74068800254935,746.6966175147567),c(707.0079441774753,635.7892009966705,837.1907239685878,1465.3563505404536),c(486.5272963050818,673.0840982618383,784.8268731099647,734.6808098765882))
+targetgene="AGAP3"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(830.4771069860158,864.8864270541301,1349.4732167059603,740.974804353724),c(1481.6299537024847,1994.38902994207,2044.082852794442,1810.9538654668238),c(1234.6916280854039,1299.9935618144214,1357.6747837079133,2232.6514954349277),c(224.89026082984142,188.25043381465665,700.2876440129107,81.24974688666317),c(812.8386551562243,845.3510046771374,946.334654071501,999.6007592323984),c(1978.4463469082782,1751.0842239740703,2659.2003779409174,2851.1794981425537),c(565.9003295391435,776.0890526132542,878.1985589783528,445.72924524444096),c(680.5502664327881,534.5601941340722,550.7667686696135,1025.9210997731484),c(161.68580843975528,333.87812789769293,275.0679394501163,465.18340999195186),c(2523.768482645998,2445.4796921017187,2153.226782897355,1516.8526689897471))
+targetgene="ADCK4"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(345.4196816667499,163.38716897121142,474.42910657451245,481.2044868428432),c(415.9734889859159,372.9489726516783,212.6098522813972,349.03060282298975),c(1.469870985815957,83.46953197442323,0.0,62.9399447713588),c(351.29916561001374,150.9555365494888,288.9475143764983,416.54799812317464),c(561.4907165816957,170.49095892648148,199.3611671243962,411.97054759434855),c(251.34793857452865,221.99343610218943,1564.6066280648815,1502.5481360871656),c(736.4053638937945,893.3015868752103,1114.782222496228,459.46159683091923),c(338.07032673767014,607.3740411755903,378.5338616286004,65.22867003577186),c(1230.2820151279561,525.6804566899846,837.1907239685878,945.2435342025885))
+targetgene="AHRR"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+par(mfrow=c(1,1));
+@
+%
+
+
+<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=
+par(mfrow=c(2,2));
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(371.87735941143717,877.3180594758527,2395.4884543396593,1564.9158995424211),c(1109.7525942910477,1138.3823403320275,970.308465307979,999.0285779162951),c(1462.5216308868773,1209.420239884728,1537.4783679814984,1519.14139425416),c(586.4785233405669,987.4268037825386,743.8190381001997,1312.0117578247794),c(1018.6205931704583,717.4827854822763,1070.619938639558,1144.3626322065236),c(1269.9685317449869,1212.9721348623632,1591.1039983788835,1624.9949377332637),c(1321.4140162485455,1795.4829111945082,1478.8056194290655,1237.056005415252),c(908.3802692342615,832.9193722554148,1639.6825106212207,1268.5259778009315),c(923.078979092421,758.3295777250792,1479.4365091984464,1275.964334910274),c(680.5502664327881,634.013253507853,318.5993335374053,631.1159916618979))
+targetgene="ADRBK1"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(1472.810727787589,1829.225913482041,1263.0413183007631,1315.444845721399),c(208.7216799858659,65.71005708624807,292.1019632234033,350.17496545519623),c(1011.2712382413785,1166.7975001531076,652.9709113093356,860.5606994193058),c(557.0811036242477,685.515730683561,875.0441101314478,1019.6271052960126),c(363.0581334965414,825.8155823001447,736.8792506370087,349.602784139093),c(1505.14788947554,451.09066215964896,653.6018010787167,991.0180394908496),c(198.43258308515422,28.41515982108025,249.83234867487624,114.43626322065236),c(438.02155377315523,74.58979453033565,254.87946682992424,231.16125170571777),c(804.0194292413286,472.4020320254591,1336.2245315489592,1203.2973077651598),c(454.19013461713075,490.1615069136343,896.4943622904019,685.4732166917076))
+targetgene="ADK"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(662.9118146029966,1008.7381736483488,1101.533537339227,1694.8010582978616),c(1547.7741480642028,1965.9738701209897,1869.9572764452857,2353.9539344488194),c(1459.5818889152454,1179.2291325748304,1296.4784760779562,1222.1792911965672),c(1193.5352404825571,1355.0479339677643,1622.0175970785526,1905.9359639399652),c(868.6937526172306,701.4992580829187,720.4761166331027,603.6512884889412),c(798.1399452980647,768.9852626579842,1478.8056194290655,1756.0244591209105),c(1168.5474337236858,907.5091667857504,879.4603385171149,977.8578692204745),c(809.8989131845924,687.2916781723785,678.8373918539567,865.7103312642352),c(1246.4505959719315,753.0017352586266,1301.5255942330043,1264.5207085882087),c(826.0674940285679,797.4004224790644,977.8791425405509,2066.7189137649816))
+targetgene="ADCK1"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(1863.7964100146337,1585.9211075140413,1761.4442361117538,1464.211987908247),c(742.2848478370584,598.4943037315028,943.8110949939769,820.5080072920774),c(1568.3523418656262,2083.1864043829455,1810.6536381234716,1887.6261618246608),c(1018.6205931704583,513.248824268262,679.4682816233377,824.5132765048003),c(1140.6198849931827,1191.6607649965529,880.0912282864958,977.8578692204745),c(135.22813069506805,118.98848175077354,351.40560154521734,399.95473995618005),c(665.8515565746286,701.4992580829187,986.7115993118849,746.6966175147567),c(418.9132309575478,300.1351256101601,376.6411923204574,645.4205245644794),c(561.4907165816957,543.4399315781598,881.9838975946388,580.7640358448108),c(442.4311667306031,229.0972260574595,395.5678854018874,651.142337725512))
+targetgene="ADARB2"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+par(mfrow=c(1,1));
+@
+%
+
+
+<<fig=TRUE,echo=FALSE,width=4.5,height=4.5>>=
+par(mfrow=c(2,2));
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(734.9354929079785,358.74139274113816,541.9343118982795,378.7840312603593),c(595.2977492554626,591.3905137762326,1061.787481868224,887.4532212761591),c(1655.0747300287676,943.0281165621008,1069.358159100796,2038.1098479598186),c(626.1650399575977,884.4218494311227,517.3296108924205,858.2719741548927),c(680.5502664327881,747.673892792174,533.1018551269456,1016.194017399393),c(662.9118146029966,777.8650001020718,864.9498738213518,787.3214909580882),c(880.4527205037583,621.5816210861304,671.8976043907657,1040.7978139918332),c(94.07174309222125,447.5387671820139,711.6436598617687,927.5059134033875),c(399.80490814194036,806.280159923152,1147.58849050404,1059.1076161071376),c(698.1887182625796,531.0082991564371,504.0809257354195,347.8862401907832))
+targetgene="ACSS2"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+# parameters
+# Do not modify the variables beginning with "__"
+targetmat=list(c(408.62413405683606,523.9045092011671,483.89245311522745,701.494293542599),c(1805.0015705819953,1434.9655709645526,1712.2348341000356,2152.546111180471),c(3017.64513388016,2642.609863360463,1834.6274493599499,3573.2723190648703),c(1649.1952460855039,783.1928425685244,773.4708572611067,1332.0381038883936),c(959.82575373782,1397.6706736993847,1429.5962174173474,2811.126806015325),c(495.34652221997754,301.9110730989776,336.89513684945433,555.015876620164),c(1491.9190506031964,1331.9606166131366,2087.614246881731,1983.1804416139055),c(429.2023278582595,889.7496918975753,567.8007924429005,1132.9190058844583),c(427.7324568724435,573.6310388880576,655.4944703868597,899.4690289143276),c(690.8393633334998,767.2093151691668,1040.33722970927,993.3067647552625))
+targetgene="ADNP"
+collabel=c("HL60_initial","KBM7_initial","HL60_final","KBM7_final")
+
+# set up color using RColorBrewer
+#library(RColorBrewer)
+#colors <- brewer.pal(length(targetgenelist), "Set1")
+
+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")
+
+
+## code
+
+targetmatvec=unlist(targetmat)+1
+yrange=range(targetmatvec[targetmatvec>0]);
+# yrange[1]=1; # set the minimum value to 1
+for(i in 1:length(targetmat)){
+  vali=targetmat[[i]]+1;
+  if(i==1){
+    plot(1:length(vali),vali,type='b',las=1,pch=20,main=paste('sgRNAs in',targetgene),ylab='Read counts',xlab='Samples',xlim=c(0.7,length(vali)+0.3),ylim = yrange,col=colors[(i %% length(colors))],xaxt='n',log='y')
+    axis(1,at=1:length(vali),labels=(collabel),las=2)
+    # lines(0:100,rep(1,101),col='black');
+  }else{
+    lines(1:length(vali),vali,type='b',pch=20,col=colors[(i %% length(colors))])
+  }
+}
+
+
+
+par(mfrow=c(1,1));
+@
+%__INDIVIDUAL_PAGE__
+
+
+
+
+
+
+
+
+
+\end{document}
+
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