>log-odds matrix ABF1: alength= 4 w= 13 n= 0 bayes= 0 E= 0 107 -137 54 -386 -10000 -10000 -213 192 -140 186 -10000 -10000 134 -201 -25 -141 -385 139 -10000 39 -98 -16 -4 70 61 -57 -101 38 -41 24 -75 56 62 0 -41 -49 -7 -12 -17 30 197 -10000 -385 -10000 -10000 200 -10000 -10000 -569 -10000 197 -386 >log-odds matrix ABF2: alength= 4 w= 6 n= 0 bayes= 0 E= 0 -147 -147 -364 168 -10000 200 -10000 -10000 -10000 -10000 -10000 200 200 -10000 -10000 -10000 -10000 -10000 200 -10000 191 -366 -366 -366 >log-odds matrix ACE2: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -10000 -608 199 -10000 -494 199 -10000 -701 -10000 -10000 -226 192 -436 -10000 198 -10000 -568 -305 194 -568 -229 -34 -59 123 -192 -83 -37 126 >log-odds matrix ADR1: alength= 4 w= 8 n= 0 bayes= 0 E= 0 155 -206 -206 -74 -10000 200 -10000 -10000 -10000 131 -10000 61 -10000 195 -292 -10000 -10000 187 -10000 -149 167 -213 -77 -10000 129 43 -332 -332 -10000 126 -10000 68 >log-odds matrix AFT1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -87 -167 -81 136 152 -331 -299 -14 -78 -301 21 110 -287 -238 -267 181 -64 -463 170 -390 -451 195 -448 -452 194 -477 -401 -414 -492 196 -479 -458 -332 194 -679 -390 -367 157 -418 -15 >log-odds matrix AFT2: alength= 4 w= 6 n= 0 bayes= 0 E= 0 149 -10000 26 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 >log-odds matrix ARO80: alength= 4 w= 8 n= 0 bayes= 0 E= 0 -263 157 -304 -43 -543 -11 -481 159 -564 198 -774 -541 -732 -349 196 -794 -718 -547 199 -674 -404 52 24 40 142 -592 -529 35 147 -187 -205 -47 >log-odds matrix ASG1: alength= 4 w= 15 n= 0 bayes= 0 E= 0 -226 177 -337 -181 -372 183 -161 -506 -499 -138 181 -368 -238 -177 175 -263 -10 75 19 -203 8 101 -201 -56 -263 -201 138 -2 95 -192 -20 -10 -209 -177 137 -17 72 -317 -259 106 -219 -6 -97 121 -363 188 -277 -338 -468 191 -238 -599 -606 -261 192 -472 -68 -437 169 -326 >log-odds matrix AZF1: alength= 4 w= 9 n= 0 bayes= 0 E= 0 130 -97 -97 -97 200 -10000 -10000 -10000 200 -10000 -10000 -10000 180 -96 -10000 -10000 158 -10000 0 -10000 -10000 -10000 200 -10000 164 -64 -306 -306 171 -204 -204 -204 130 -97 -97 -97 >log-odds matrix BAS1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -1 -285 142 -244 -134 154 -81 -291 -224 188 -500 -360 65 -10 26 -178 -349 -721 196 -621 198 -662 -443 -669 -421 -628 197 -687 -578 -559 -666 198 -339 195 -611 -503 184 -256 -395 -235 >log-odds matrix CAD1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 187 -249 -252 -10000 -250 -10000 -10000 193 -10000 -10000 -10000 200 181 -246 -10000 -165 8 -142 136 -10000 -10000 -10000 -10000 200 185 -138 -10000 -10000 200 -10000 -10000 -10000 -10000 -10000 136 53 -10000 193 -10000 -249 >log-odds matrix CAT8: alength= 4 w= 5 n= 0 bayes= 0 E= 0 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 140 -94 -25 -10000 >log-odds matrix CBF1: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -198 -148 -26 135 -455 198 -867 -773 199 -679 -575 -633 -993 195 -560 -323 -249 -591 193 -994 -633 -546 -679 198 -449 -443 194 -360 >log-odds matrix CEP3: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -291 90 -193 80 -674 -432 -509 197 -580 197 -481 -582 -671 -82 177 -681 -686 -511 198 -630 176 -327 -171 -228 185 -358 -316 -236 >log-odds matrix CHA4: alength= 4 w= 9 n= 0 bayes= 0 E= 0 148 -234 -192 -42 55 -156 -190 95 -217 140 -273 -1 -679 -17 -440 161 -671 199 -706 -662 -718 199 -572 -747 -436 -585 197 -712 -562 197 -484 -474 -125 149 -290 -66 >log-odds matrix CIN5: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -10000 -370 -248 190 -194 -283 -111 165 193 -10000 -241 -10000 -218 131 -240 16 58 -120 82 -172 -549 -549 -10000 198 185 -143 -551 -10000 200 -10000 -10000 -10000 -466 -92 46 104 -12 122 -266 -76 >log-odds matrix CRZ1: alength= 4 w= 6 n= 0 bayes= 0 E= 0 132 51 -466 -466 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 75 26 -184 -25 -182 162 -163 -163 >log-odds matrix CST6: alength= 4 w= 6 n= 0 bayes= 0 E= 0 -463 -463 -463 196 -464 -464 186 -184 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -232 -10000 193 -10000 -10000 -10000 -10000 200 >log-odds matrix CUP2: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -10000 164 -10000 -17 200 -10000 -10000 -10000 -10000 -10000 200 -10000 -17 164 -10000 -10000 142 -10000 42 -10000 83 -117 83 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 164 -10000 -17 -10000 83 -10000 -10000 115 -17 -10000 164 -10000 >log-odds matrix CUP9: alength= 4 w= 9 n= 0 bayes= 0 E= 0 75 -311 -90 73 155 -774 -640 7 -194 -676 -170 178 -76 -220 167 -947 -692 -210 -864 191 -732 -715 199 -539 -240 -230 -856 185 -794 199 -764 -703 182 -385 -216 -253 >log-odds matrix DAL80: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -407 181 -140 -407 -283 -566 -566 193 -149 -10000 -10000 187 200 -10000 -10000 -10000 -10000 -10000 -10000 200 -358 197 -10000 -10000 -57 -208 141 -120 >log-odds matrix DAL82: alength= 4 w= 14 n= 0 bayes= 0 E= 0 -10000 126 68 -10000 126 -32 -32 -10000 126 -10000 68 -10000 -70 -70 135 -219 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 200 -10000 -10000 162 -10000 -94 -132 101 -25 -218 -12 14 -112 -112 99 -65 -333 -219 161 -183 -183 -183 166 -10000 -32 -10000 168 -10000 126 68 -10000 >log-odds matrix ECM22: alength= 4 w= 13 n= 0 bayes= 0 E= 0 -204 107 -97 19 -522 165 -32 -490 -421 -300 192 -458 -258 -474 190 -428 -4 -352 151 -343 -83 6 -64 81 4 38 -26 -27 -43 -174 -2 98 -51 150 -220 -201 -486 195 -523 -376 -630 -147 186 -812 -468 -499 187 -182 189 -632 -205 -497 >log-odds matrix ECM23: alength= 4 w= 6 n= 0 bayes= 0 E= 0 153 -118 -132 -184 -132 -364 178 -364 200 -10000 -10000 -10000 -306 -10000 -10000 196 -466 183 -307 -185 -84 -40 -84 108 >log-odds matrix EDS1: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -82 107 -82 -38 -10000 -10000 200 -10000 -10000 -10000 200 -10000 200 -10000 -10000 -10000 160 -10000 -10000 -6 93 -7 -134 -41 200 -10000 -10000 -10000 173 -463 -463 -72 -74 -32 -118 111 >log-odds matrix FHL1: alength= 4 w= 8 n= 0 bayes= 0 E= 0 -146 -165 172 -540 194 -672 -358 -412 -782 185 -837 -133 -540 -421 194 -366 -660 179 -821 -94 153 -534 -12 -264 116 -4 -115 -154 108 -109 -137 4 >log-odds matrix FKH1: alength= 4 w= 13 n= 0 bayes= 0 E= 0 128 -147 -129 -34 128 -103 -135 -54 85 -150 -88 39 -9 -79 -38 78 11 -684 153 -599 -602 -201 -362 187 197 -370 -917 -811 197 -539 -613 -495 199 -858 -751 -537 -875 180 -842 -99 195 -853 -310 -672 173 -347 -179 -169 115 -133 -93 -22 >log-odds matrix FKH2: alength= 4 w= 13 n= 0 bayes= 0 E= 0 113 -100 -76 -46 129 -115 -102 -72 105 -102 -72 -28 62 -83 -52 27 -22 -606 164 -850 -568 -379 -965 197 197 -369 -995 -895 198 -603 -592 -655 198 -593 -564 -561 -876 180 -920 -99 197 -926 -358 -710 162 -226 -207 -108 145 -332 -123 -44 >log-odds matrix FZF1: alength= 4 w= 6 n= 0 bayes= 0 E= 0 -10000 200 -10000 -10000 -10000 -10000 -10000 200 200 -10000 -10000 -10000 -10000 -10000 -10000 200 -10000 200 -10000 -10000 200 -10000 -10000 -10000 >log-odds matrix GAL4: alength= 4 w= 19 n= 0 bayes= 0 E= 0 -421 76 -418 114 -679 199 -690 -579 -690 -493 198 -658 -597 -169 184 -350 -12 -61 90 -84 -55 31 32 -29 19 0 17 -45 105 -100 -22 -82 -16 48 9 -64 84 -47 -100 -1 -14 -21 69 -70 -87 -2 -31 73 31 -29 26 -43 -101 55 -2 7 -62 -41 -37 87 -553 198 -749 -596 -658 194 -275 -690 -579 -690 199 -679 114 -418 76 -421 >log-odds matrix GAL80: alength= 4 w= 17 n= 0 bayes= 0 E= 0 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 113 -1 -29 -10000 56 -151 112 -10000 -46 -44 62 -1 133 -8 -92 -10000 -10000 63 -154 108 -10000 -10000 -70 176 -10000 77 120 -10000 -10000 -6 -10000 160 -123 118 39 -10000 60 4 53 -10000 -10000 -32 -163 153 -10000 168 -32 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 >log-odds matrix GAT1: alength= 4 w= 8 n= 0 bayes= 0 E= 0 -501 87 -3 22 -460 173 -147 -184 -785 -270 -855 194 -463 -1054 -995 198 200 -922 -729 -873 -874 -838 -387 197 -822 200 -896 -796 20 -369 64 29 >log-odds matrix GAT3: alength= 4 w= 8 n= 0 bayes= 0 E= 0 145 -231 -10 -284 -228 -446 190 -551 192 -1065 -812 -218 -83 -856 -559 177 -404 194 -535 -385 -304 -55 -361 164 157 -133 -135 -203 -48 129 -111 -137 >log-odds matrix GAT4: alength= 4 w= 8 n= 0 bayes= 0 E= 0 -62 -35 -125 110 173 -353 -96 -358 -341 -783 196 -747 193 -906 -794 -249 -285 -794 -905 195 -747 198 -783 -489 -327 -26 -391 158 128 -111 -45 -141 >log-odds matrix GCN4: alength= 4 w= 9 n= 0 bayes= 0 E= 0 110 -282 73 -399 -449 -488 -529 196 -466 -311 174 -100 188 -305 -680 -234 -531 -17 162 -661 -518 -680 -518 198 -208 191 -656 -740 198 -629 -538 -548 -339 47 -215 120 >log-odds matrix GCR1: alength= 4 w= 8 n= 0 bayes= 0 E= 0 12 -442 -310 146 -10000 -211 191 -10000 -10000 -481 199 -10000 200 -10000 -10000 -10000 181 -594 -10000 -107 -610 -557 191 -235 -17 145 -10000 -138 -10000 157 -544 0 >log-odds matrix GIS1: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -10000 196 -10000 -306 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 180 -10000 -94 -10000 -10000 -10000 200 97 -264 -74 36 88 -118 -64 11 >log-odds matrix GLN3: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -133 107 -163 23 47 -64 -745 97 -690 -934 199 -757 200 -861 -823 -784 -834 -750 -868 200 177 -750 -1012 -78 170 -700 -82 -244 -126 -124 156 -228 37 -84 99 -263 -27 40 6 -32 -172 146 -219 -45 >log-odds matrix GSM1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 118 -347 -383 66 176 -475 -360 -105 68 -60 -45 1 -609 187 -458 -185 -571 -49 -269 164 -632 198 -756 -467 -806 196 -329 -806 -832 -303 195 -764 -87 -592 176 -466 150 -204 -34 -294 >log-odds matrix GZF3: alength= 4 w= 13 n= 0 bayes= 0 E= 0 135 -101 -113 -103 -102 -217 -56 138 -211 116 -157 25 -199 -4 116 -90 -771 195 -318 -590 -771 -712 -771 199 5 -10000 -871 157 200 -871 -771 -771 -871 -771 -871 200 -771 200 -871 -871 147 -613 10 -271 -117 -271 153 -93 -55 80 -175 36 >log-odds matrix HAC1: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -7 -207 115 -75 144 36 -10000 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 -10000 200 >log-odds matrix HAL9: alength= 4 w= 18 n= 0 bayes= 0 E= 0 -460 -214 -42 158 -253 186 -269 -449 -556 175 -148 -199 -506 -288 184 -199 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -98 31 79 -93 -199 184 -288 -506 -199 -148 175 -556 -449 -269 186 -253 158 -42 -214 -460 >log-odds matrix HAP1: alength= 4 w= 12 n= 0 bayes= 0 E= 0 -317 114 76 -10000 -10000 200 -10000 -10000 -433 -10000 198 -10000 118 -105 -75 -61 -30 -189 -218 143 186 -271 -279 -364 63 -201 -366 109 -103 77 -82 31 -366 -115 -109 159 -10000 198 -10000 -456 -10000 200 -10000 -10000 -223 -133 157 -125 >log-odds matrix HAP2: alength= 4 w= 5 n= 0 bayes= 0 E= 0 -10000 -10000 -10000 200 -10000 -10000 -462 199 -549 -10000 199 -10000 -10000 -10000 200 -714 -66 60 -303 79 >log-odds matrix HAP3: alength= 4 w= 15 n= 0 bayes= 0 E= 0 -10000 -46 -40 133 -105 144 -136 -123 -10000 -62 -10000 174 -291 28 100 -61 200 -10000 -10000 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 97 -10000 103 -292 67 -85 78 5 59 41 -299 97 -149 30 -114 51 -152 83 -117 101 -39 -141 -24 >log-odds matrix HAP4: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -10000 -10000 -10000 200 -206 -541 190 -10000 200 -10000 -10000 -10000 -10000 -10000 -746 200 -769 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 189 -178 -288 83 -167 83 -228 135 -283 15 >log-odds matrix HAP5: alength= 4 w= 14 n= 0 bayes= 0 E= 0 -243 83 96 -348 -332 41 113 -139 -47 -1 92 -133 63 30 -142 -23 -312 -80 20 111 -355 148 -76 -88 -10000 -66 -10000 175 -108 20 75 -52 200 -10000 -10000 -10000 -10000 -10000 -10000 200 -10000 -10000 -215 192 -143 -10000 186 -10000 -156 -109 156 -202 -10000 61 -10000 131 >log-odds matrix HCM1: alength= 4 w= 8 n= 0 bayes= 0 E= 0 103 -64 0 -164 11 -164 -264 129 141 34 -466 -466 193 -232 -10000 -10000 200 -10000 -10000 -10000 -464 178 -10000 -94 191 -366 -366 -366 121 -56 -118 -84 >log-odds matrix HMRA2: alength= 4 w= 8 n= 0 bayes= 0 E= 0 -206 142 -206 -25 111 -10000 88 -10000 -264 -10000 -10000 194 -10000 -10000 200 -10000 -10000 -10000 -10000 200 190 -10000 -10000 -184 180 -366 -366 -149 68 -164 -164 82 >log-odds matrix HSF1: alength= 4 w= 14 n= 0 bayes= 0 E= 0 94 -129 74 -10000 -426 -10000 198 -10000 199 -10000 -499 -10000 187 -553 -221 -307 -89 75 -74 25 -43 58 6 -48 -269 -44 -150 146 -196 1 -701 145 94 46 -91 -249 -221 -125 -394 172 61 -223 118 -10000 -10000 -884 200 -10000 200 -949 -898 -10000 198 -10000 -415 -10000 >log-odds matrix INO2: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -3 -25 104 -300 -694 200 -10000 -10000 181 -213 -402 -234 -10000 -407 -10000 198 -202 -10000 191 -10000 -212 -527 -363 187 -10000 -10000 200 -10000 180 -235 -162 -10000 193 -10000 -241 -10000 175 -10000 -105 -260 142 -10000 -99 -30 >log-odds matrix INO4: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -3 -25 104 -300 -694 200 -10000 -10000 181 -213 -402 -234 -10000 -407 -10000 198 -202 -10000 191 -10000 -212 -527 -363 187 -10000 -10000 200 -10000 180 -235 -162 -10000 193 -10000 -241 -10000 175 -10000 -105 -260 142 -10000 -99 -30 >log-odds matrix LEU3: alength= 4 w= 14 n= 0 bayes= 0 E= 0 -161 161 -182 -158 -112 163 -282 -170 -47 -242 121 -37 -30 -187 76 29 -42 -83 -172 125 108 -66 -163 -10 -322 174 -90 -562 -315 195 -671 -996 -750 -679 199 -864 -937 -8 161 -764 -5 138 -233 -214 -107 -242 162 -198 101 -218 -146 49 125 -148 -158 -10 >log-odds matrix LYS14: alength= 4 w= 10 n= 0 bayes= 0 E= 0 165 -452 -233 -69 170 -282 -183 -157 191 -964 -825 -208 -629 -840 -884 199 -874 -343 -906 196 -819 199 -572 -906 -764 200 -819 -784 -349 -224 185 -349 -210 -36 85 25 -46 -131 87 5 >log-odds matrix MAC1: alength= 4 w= 8 n= 0 bayes= 0 E= 0 -201 -10000 -10000 191 -230 -10000 -101 172 -10000 -10000 -10000 200 -189 -10000 190 -10000 -10000 200 -10000 -10000 -10000 -10000 -10000 200 -10000 200 -10000 -10000 115 -10000 60 -192 >log-odds matrix MATALPHA2: alength= 4 w= 9 n= 0 bayes= 0 E= 0 200 -10000 -10000 -10000 126 -10000 -10000 68 -132 -10000 -132 168 -10000 -10000 -10000 200 200 -10000 -10000 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 -10000 -32 -10000 168 -132 -10000 185 -10000 >log-odds matrix MBP1: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -218 -28 -369 153 -242 -20 141 -179 154 -288 -186 -57 -743 198 -546 -621 -180 -638 189 -875 -843 184 -634 -131 -652 -454 198 -875 -81 -158 -224 153 -57 70 -142 40 >log-odds matrix MCM1: alength= 4 w= 16 n= 0 bayes= 0 E= 0 -82 -37 -176 124 -77 -180 7 106 -102 -139 -124 143 -114 174 -500 -252 -476 174 -539 -74 -106 28 70 -56 124 -178 -55 -58 141 -457 -268 20 29 -307 -457 139 -58 -72 -161 126 44 -30 45 -112 -78 -539 175 -476 -252 -500 175 -121 145 -115 -258 -64 149 -79 -183 -158 123 -155 -47 -74 >log-odds matrix MET31: alength= 4 w= 10 n= 0 bayes= 0 E= 0 200 -10000 -10000 -10000 145 -232 -40 -174 -77 119 -74 -91 -184 -184 -143 162 -454 -10000 198 -10000 -403 -10000 -10000 198 -10000 -10000 196 -331 -378 -10000 196 -530 -530 171 -10000 -53 -131 -10000 148 -31 >log-odds matrix MET32: alength= 4 w= 12 n= 0 bayes= 0 E= 0 74 -31 -32 -47 129 -102 -135 -59 178 -456 -140 -269 -166 135 -12 -217 -459 -356 -546 195 -472 -343 195 -836 -620 -453 -646 198 -778 -736 199 -736 -178 -679 188 -579 -529 198 -705 -529 -344 -637 172 -73 -529 129 -213 39 >log-odds matrix MGA1: alength= 4 w= 9 n= 0 bayes= 0 E= 0 166 -636 -34 -448 -38 -118 -59 109 149 -34 -135 -656 -540 -684 198 -660 199 -689 -600 -640 199 -694 -700 -545 -438 171 -399 -67 176 -265 -160 -293 -187 102 -183 51 >log-odds matrix MIG1: alength= 4 w= 14 n= 0 bayes= 0 E= 0 -218 84 -274 88 31 94 -161 -94 -245 192 -606 -553 -258 191 -10000 -387 -923 200 -823 -823 -764 200 -764 -923 79 -453 103 -243 -380 125 54 -332 145 -312 -96 -64 -142 -98 -360 160 -13 -182 -292 142 60 -148 -234 95 9 2 -235 79 4 -86 -273 118 >log-odds matrix MIG2: alength= 4 w= 13 n= 0 bayes= 0 E= 0 38 -113 76 -88 -69 50 -189 76 -73 -192 -187 151 152 -198 -48 -270 -485 196 -462 -524 -1032 197 -947 -359 -819 200 -715 -847 -856 199 -660 -847 26 -216 136 -551 -332 178 -153 -303 133 -98 -61 -165 69 -64 -244 64 -27 -189 -349 149 >log-odds matrix MIG3: alength= 4 w= 13 n= 0 bayes= 0 E= 0 18 -112 98 -119 -49 27 -198 87 -22 -119 -206 130 159 -132 -123 -262 -491 197 -552 -524 -947 193 -864 -254 -884 200 -740 -751 -864 199 -617 -856 33 -445 142 -546 -326 170 -108 -246 132 -106 -46 -172 38 -124 -209 103 1 -135 -338 133 >log-odds matrix MSN2: alength= 4 w= 7 n= 0 bayes= 0 E= 0 45 -118 -314 106 168 -76 -702 -237 145 -278 17 -10000 -690 -438 198 -10000 -493 -10000 199 -10000 -10000 -10000 200 -10000 -764 -10000 200 -10000 >log-odds matrix MSN4: alength= 4 w= 7 n= 0 bayes= 0 E= 0 45 -118 -314 106 168 -76 -702 -237 168 -10000 -34 -10000 -689 -437 198 -10000 -492 -10000 199 -10000 -10000 -10000 200 -10000 -764 -10000 199 -560 >log-odds matrix NDT80: alength= 4 w= 13 n= 0 bayes= 0 E= 0 -133 -113 99 22 -41 -363 143 -111 83 95 -257 -306 -436 192 -579 -287 191 -501 -246 -529 -376 195 -517 -518 195 -594 -471 -359 196 -564 -398 -482 192 -615 -414 -276 151 -333 -8 -335 99 -48 -160 -5 -101 134 -139 -74 -97 40 82 -129 >log-odds matrix NHP10: alength= 4 w= 8 n= 0 bayes= 0 E= 0 -32 -132 126 -132 -167 161 -167 -167 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 142 -167 -50 -167 >log-odds matrix NHP6A: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -125 105 -235 40 44 -94 -180 87 97 0 -196 -37 -113 -338 -529 177 185 -455 -323 -209 -98 -308 -490 174 176 -394 -251 -144 -213 -255 -313 180 158 -390 -359 -21 138 -305 -71 -59 >log-odds matrix NHP6B: alength= 4 w= 11 n= 0 bayes= 0 E= 0 66 -184 -326 103 121 -148 -227 16 -56 -193 -396 158 169 -293 -190 -144 -144 -190 -293 169 158 -396 -193 -56 16 -227 -148 121 103 -326 -184 66 88 -137 -104 36 58 -123 -116 71 90 -157 43 -114 >log-odds matrix NRG1: alength= 4 w= 9 n= 0 bayes= 0 E= 0 67 -165 -82 61 -6 -550 159 -716 -279 -766 182 -163 174 -789 -95 -281 -394 197 -952 -543 -752 194 -828 -278 -691 199 -564 -761 -921 -279 -628 194 -243 -478 97 87 >log-odds matrix OAF1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 29 -124 -116 93 -96 -151 -154 148 165 -258 -267 -92 55 -299 -255 116 2 108 -156 -92 -522 29 -256 137 -751 199 -586 -641 -679 197 -407 -669 -597 -654 199 -671 115 -196 21 -147 >log-odds matrix ORC1: alength= 4 w= 17 n= 0 bayes= 0 E= 0 28 -72 -10000 113 -24 -10000 -146 148 -146 -10000 -10000 186 -24 -10000 -146 148 -304 -10000 -10000 196 -304 -10000 -10000 196 -304 -204 -10000 186 181 -10000 -10000 -104 -146 -104 -10000 166 42 -304 76 -24 -10000 -304 -10000 196 -146 -304 -10000 181 -10000 -10000 -10000 200 113 -10000 -10000 86 -10000 -72 113 28 -10000 -10000 -24 166 -204 -104 -10000 171 >log-odds matrix PBF1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 138 -230 -137 -30 -188 67 80 -134 -359 165 -37 -725 -689 -307 -243 188 -684 199 -674 -609 196 -847 -718 -353 -732 -784 -375 197 -818 197 -732 -375 -225 -365 180 -212 -88 139 -42 -348 >log-odds matrix PBF2: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -82 94 -78 -11 105 -207 -85 19 -165 75 65 -122 -311 162 -34 -629 -538 -226 -158 178 -756 199 -567 -640 196 -884 -756 -329 -725 -818 -317 196 -819 195 -756 -311 -279 -475 181 -167 -16 120 -49 -345 >log-odds matrix PDR1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -10000 -91 -91 155 -10000 42 -10000 142 -264 -83 -173 157 -10000 200 -10000 -10000 -10000 200 -10000 -10000 8 -10000 156 -10000 -464 191 -264 -464 -264 -464 191 -464 -231 -237 183 -408 164 -264 -80 -264 >log-odds matrix PDR3: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -10000 -91 -91 155 -10000 42 -10000 142 -10000 -10000 -10000 200 -10000 200 -10000 -10000 -10000 200 -10000 -10000 68 -10000 126 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -191 190 -10000 190 -10000 -191 -10000 >log-odds matrix PDR8: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 200 -10000 -10000 -10000 -166 -166 175 -10000 200 -10000 -10000 -10000 -94 -206 -206 158 >log-odds matrix PHD1: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -192 117 22 -162 97 40 -100 -217 -683 -188 -751 189 -509 -649 198 -699 -664 197 -779 -400 191 -520 -245 -477 -241 -102 17 113 5 92 -57 -130 92 -46 -70 -38 >log-odds matrix PHO2: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -37 -6 -184 99 -76 -242 -723 169 167 -514 -591 -39 150 -764 -823 22 -48 -823 -764 171 35 -591 -514 142 104 -39 -91 -63 155 -97 -117 -300 119 -281 -378 59 -68 -49 -129 117 >log-odds matrix PHO4: alength= 4 w= 8 n= 0 bayes= 0 E= 0 -220 25 126 -232 -225 181 -463 -203 165 -362 -35 -804 -1195 180 -877 -94 -103 -778 181 -1195 -499 -59 -296 167 -376 -778 179 -109 -572 102 65 -141 >log-odds matrix PUT3: alength= 4 w= 10 n= 0 bayes= 0 E= 0 74 -78 -92 29 -129 -70 -115 134 -432 185 -581 -162 -613 194 -532 -300 -813 190 -194 -813 -813 -164 188 -10000 -84 -281 168 -354 -79 -166 146 -146 123 -135 -83 -51 97 -90 -98 0 >log-odds matrix RAP1: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -47 146 -106 -465 184 -291 -196 -496 -557 173 -10000 -60 -535 197 -532 -548 -563 192 -10000 -245 161 -523 -19 -464 -36 -60 -112 107 150 -379 -66 -110 -556 197 -673 -404 162 -21 -456 -554 -417 94 -773 102 >log-odds matrix RDR1: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -12 -101 -108 108 -488 -237 186 -280 -760 199 -660 -589 -718 -638 199 -722 -725 -684 199 -729 186 -471 -165 -586 126 -622 -432 62 108 12 -104 -166 -60 -68 -25 91 >log-odds matrix RDS1: alength= 4 w= 8 n= 0 bayes= 0 E= 0 -583 -566 -43 169 -589 193 -513 -268 -594 -222 191 -1040 -939 -417 198 -781 -781 191 -203 -939 -1042 185 -142 -596 -376 -261 191 -808 123 2 -117 -240 >log-odds matrix RDS2: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -27 -80 98 -68 142 -204 -84 -92 163 -292 -132 -139 168 -208 -289 -127 35 64 -212 -10 -511 155 -467 1 -729 198 -477 -751 -794 197 -393 -715 -684 -789 199 -679 197 -505 -568 -458 >log-odds matrix REB1: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -94 -154 47 81 -85 108 -39 -82 5 154 -493 -497 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -785 -10000 -684 -10000 200 194 -545 -344 -460 196 -786 -366 -550 -177 100 -153 44 79 -36 8 -119 >log-odds matrix REI1: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -10000 193 -10000 -232 -232 193 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 -10000 -10000 200 -10000 -10000 193 -232 116 -164 -12 -94 >log-odds matrix RFX1: alength= 4 w= 13 n= 0 bayes= 0 E= 0 -10000 -10000 -10000 200 -10000 -89 -10000 179 -76 -298 153 -138 -10000 171 -302 -75 -10000 129 -10000 64 155 -10000 9 -10000 -364 -131 -257 174 23 -464 146 -464 3 -422 155 -10000 -10000 171 -397 -59 196 -10000 -308 -10000 200 -10000 -10000 -10000 -492 198 -601 -10000 >log-odds matrix RGM1: alength= 4 w= 5 n= 0 bayes= 0 E= 0 200 -10000 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -118 -106 162 -10000 >log-odds matrix RGT1: alength= 4 w= 13 n= 0 bayes= 0 E= 0 -68 -236 -109 144 -175 -21 -117 126 -95 -49 -182 132 -108 -97 -89 131 -112 130 -183 -33 -313 192 -441 -391 -424 -575 197 -956 -856 -513 199 -856 189 -756 -190 -675 119 -348 -108 21 106 -75 -133 -11 179 -825 -450 -99 151 -956 -686 19 >log-odds matrix RIM101: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -147 78 -147 64 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 -10000 -10000 200 -10000 >log-odds matrix RLM1: alength= 4 w= 14 n= 0 bayes= 0 E= 0 130 -10000 63 -10000 -10000 -101 153 -72 -145 88 -24 -8 107 -10000 -10000 92 192 -10000 -219 -10000 200 -10000 -10000 -10000 74 -10000 55 -21 31 -55 -10000 105 -115 -10000 -10000 183 -10000 -45 -10000 171 183 -10000 -115 -10000 107 -10000 92 -10000 200 -10000 -10000 -10000 139 -10000 -10000 46 >log-odds matrix ROX1: alength= 4 w= 12 n= 0 bayes= 0 E= 0 -136 71 -10000 98 -10000 183 -10000 -120 -10000 113 -10000 85 188 -10000 -10000 -165 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -118 -84 -140 139 -97 89 -51 -10 -108 -76 -19 104 -10000 114 -10000 85 >log-odds matrix RPH1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 119 -226 -91 -4 95 -296 -105 54 -75 -236 -253 160 -4 -206 -461 146 197 -516 -504 -647 -116 -794 182 -732 -599 -751 199 -671 -632 -740 199 -656 -460 -667 196 -390 -72 -148 5 100 >log-odds matrix RPN4: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -107 -10000 182 -10000 -10000 -10000 200 -10000 -10000 -250 -10000 193 -10000 -10000 200 -10000 -484 -10000 199 -10000 -10000 200 -10000 -10000 170 -10000 -77 -258 200 -10000 -10000 -10000 189 -267 -363 -424 133 -113 -298 -15 >log-odds matrix RSC3: alength= 4 w= 10 n= 0 bayes= 0 E= 0 132 -96 -70 -142 -22 28 38 -67 -149 123 -35 -94 -106 -113 153 -253 -747 199 -621 -783 -747 -498 199 -855 -643 199 -688 -618 -328 -310 192 -729 -164 156 -122 -174 -249 -39 17 95 >log-odds matrix RSC30: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -114 148 -197 -102 -130 -5 132 -291 -498 166 -53 -304 -466 -106 179 -517 -525 197 -447 -544 -544 -229 191 -525 -517 185 -156 -466 -304 -211 185 -498 -426 109 47 -118 -104 -98 126 -72 >log-odds matrix RTG3: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -47 -166 141 -170 -389 -418 42 135 -468 197 -468 -609 193 -650 -261 -609 -656 174 -113 -235 -316 -393 193 -551 -510 -162 -551 186 -510 -368 193 -368 14 141 -319 -290 >log-odds matrix SFL1: alength= 4 w= 15 n= 0 bayes= 0 E= 0 154 -303 -101 -108 -97 -49 -121 123 102 6 -15 -534 -374 -461 194 -451 194 -394 -551 -355 194 -477 -351 -476 -349 -239 169 -102 130 -95 -20 -280 125 -90 -278 -10 110 -17 -237 -36 4 -68 -77 82 98 -138 -20 -37 79 -188 -133 68 56 -102 -77 53 71 -104 -179 66 >log-odds matrix SFP1: alength= 4 w= 12 n= 0 bayes= 0 E= 0 109 -255 45 -161 165 -176 -181 -177 185 -280 -243 -372 186 -475 -230 -282 178 -407 -256 -153 112 -288 -396 71 -153 -256 -407 178 -282 -230 -475 186 -372 -243 -280 185 -177 -181 -176 165 -98 70 -146 59 -160 51 -127 88 >log-odds matrix SIG1: alength= 4 w= 5 n= 0 bayes= 0 E= 0 190 -364 -10000 -232 -10000 -10000 -10000 200 200 -10000 -10000 -10000 -10000 -10000 -10000 200 200 -10000 -10000 -10000 >log-odds matrix SIP4: alength= 4 w= 13 n= 0 bayes= 0 E= 0 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -347 -10000 197 -10000 141 -39 -78 -10000 -10000 -20 -10000 165 -104 -10000 158 -93 200 -10000 -10000 -10000 200 -10000 -10000 -10000 95 -10000 -10000 105 -10000 -10000 174 -60 -10000 -10000 200 -10000 175 -10000 -66 -10000 48 -59 92 -452 >log-odds matrix SKN7: alength= 4 w= 14 n= 0 bayes= 0 E= 0 -24 102 -17 -214 80 -140 67 -177 -1 31 36 -105 -85 -124 32 82 -8 -125 -116 113 65 -4 -99 -7 -409 -1 -43 114 -178 -70 161 -465 -324 -334 191 -492 -492 191 -334 -324 -465 175 -175 -178 131 -17 -97 -309 7 -161 -22 82 113 -116 -125 -8 >log-odds matrix SKO1: alength= 4 w= 8 n= 0 bayes= 0 E= 0 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -132 -10000 185 -10000 -10000 -10000 -10000 200 200 -10000 -10000 -10000 131 -10000 -10000 61 -10000 -10000 -10000 200 -10000 -10000 200 -10000 >log-odds matrix SMP1: alength= 4 w= 13 n= 0 bayes= 0 E= 0 119 -136 -87 -35 -155 115 -66 -31 -48 132 -240 -74 -94 -76 -155 135 71 -96 -116 49 -136 -9 -288 134 159 -100 -244 -168 179 -377 -374 -136 -136 -374 -377 179 -168 -244 -100 159 134 -288 -9 -136 99 -261 -205 69 135 -155 -76 -94 >log-odds matrix SNT2: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -10000 -318 -136 181 -10000 -10000 200 -10000 73 -166 102 -10000 -10000 -10000 -10000 200 198 -10000 -449 -10000 -681 -10000 200 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -662 196 -339 -10000 -222 192 -10000 -10000 >log-odds matrix SOK2: alength= 4 w= 9 n= 0 bayes= 0 E= 0 99 -41 -66 -66 -74 97 -47 -47 71 91 -147 -306 -264 -464 -264 186 -264 -464 191 -464 -264 186 -464 -264 196 -464 -464 -464 -232 -232 100 68 -56 -25 106 -132 >log-odds matrix SPT15: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -112 -134 149 -157 54 -65 -91 46 -28 -111 -420 141 104 -604 -429 91 -325 -604 -440 194 196 -356 -697 -538 -208 -829 -670 191 198 -797 -638 -459 -349 -129 -729 181 165 -332 -71 -263 >log-odds matrix SRD1: alength= 4 w= 9 n= 0 bayes= 0 E= 0 148 -239 -15 -300 -264 -454 191 -459 197 -906 -779 -378 -144 -1006 -453 184 -788 199 -873 -641 -361 -124 -399 178 148 -57 -172 -214 -98 147 -142 -151 139 -171 -42 -159 >log-odds matrix STB1: alength= 4 w= 12 n= 0 bayes= 0 E= 0 85 -150 80 -319 130 -125 -53 -120 60 -274 -48 70 -10000 -139 -10000 185 -10000 -362 -10000 197 -10000 -10000 -10000 200 -10000 122 74 -10000 -462 -10000 193 -272 -447 144 -382 23 -369 -699 197 -10000 -49 -11 -205 108 -146 -14 -83 112 >log-odds matrix STB3: alength= 4 w= 11 n= 0 bayes= 0 E= 0 163 -281 -180 -111 100 -320 -292 82 -133 -447 -684 183 -224 -547 -706 191 -457 -571 -689 197 -418 -864 -403 196 -864 -196 -364 187 -622 199 -694 -586 195 -515 -330 -660 -73 123 -157 -50 -95 -105 -87 129 >log-odds matrix STB4: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -10000 -166 -10000 188 -111 170 -188 -612 -124 -10000 183 -610 44 -572 17 59 -10000 -80 -10000 178 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 198 -10000 -391 -10000 >log-odds matrix STB5: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -191 48 -118 93 155 -10000 -9 -291 -144 -563 -563 184 177 -267 -205 -245 111 -208 8 -87 -265 151 -99 -102 113 -71 -45 -110 -10000 199 -600 -10000 -10000 200 -10000 -10000 -10000 -10000 196 -324 >log-odds matrix STE12: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -227 -36 -244 150 -404 -700 197 -643 -10000 -10000 -10000 200 -10000 -801 -798 200 -10000 -447 -10000 198 -701 187 -10000 -152 200 -10000 -10000 -10000 >log-odds matrix STP2: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -7 -116 118 -161 -114 -449 173 -244 -286 137 -549 32 -684 -545 198 -589 -806 176 -75 -774 -725 179 -97 -603 -485 -426 192 -307 -415 106 -579 88 131 -430 44 -304 >log-odds matrix STP3: alength= 4 w= 8 n= 0 bayes= 0 E= 0 0 -147 94 -47 -47 75 -25 -40 -10000 -10000 -10000 200 200 -10000 -10000 -10000 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 136 -47 -47 >log-odds matrix STP4: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -22 -285 149 -241 -48 -119 -116 126 82 -205 97 -484 -313 163 -323 -56 -471 -314 193 -529 -500 -326 193 -401 -385 193 -405 -429 -327 -488 -161 182 -169 -224 167 -177 151 -201 -334 -31 >log-odds matrix SUM1: alength= 4 w= 11 n= 0 bayes= 0 E= 0 65 -227 115 -10000 -601 96 -10000 102 -10000 -764 200 -10000 78 -502 -490 115 -10000 198 -459 -701 188 -384 -205 -679 -644 105 88 -366 94 -107 -477 65 198 -476 -693 -10000 196 -365 -625 -568 108 -243 -225 58 >log-odds matrix SUT2: alength= 4 w= 8 n= 0 bayes= 0 E= 0 191 -538 -431 -262 196 -906 -443 -391 -906 151 20 -684 -774 -395 -832 197 -651 199 -747 -643 -794 198 -430 -764 -689 -740 199 -643 166 -388 -57 -335 >log-odds matrix SWI4: alength= 4 w= 9 n= 0 bayes= 0 E= 0 117 -81 -105 -51 -744 196 -500 -365 8 -486 154 -774 -10000 200 -10000 -630 -485 -123 182 -10000 195 -630 -531 -326 194 -427 -406 -433 164 -248 -257 -91 143 -139 -355 -24 >log-odds matrix SWI5: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -116 -155 39 93 -970 -594 199 -10000 -10000 197 -10000 -358 -10000 -10000 -732 200 -707 -10000 200 -10000 -112 -10000 182 -10000 -265 -265 11 138 >log-odds matrix SWI6: alength= 4 w= 10 n= 0 bayes= 0 E= 0 80 -227 51 -67 102 -30 -145 -33 -643 191 -399 -263 60 -386 127 -675 -10000 199 -10000 -528 -384 -22 162 -10000 189 -529 -430 -225 197 -543 -465 -569 193 -472 -596 -281 143 -139 -355 -24 >log-odds matrix TBF1: alength= 4 w= 9 n= 0 bayes= 0 E= 0 32 -49 -198 84 165 -217 -193 -141 122 -215 36 -262 -149 185 -558 -552 -769 200 -840 -764 -732 199 -984 -636 -964 -412 -918 198 179 -252 -197 -327 127 -130 -62 -90 >log-odds matrix TBS1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -83 -9 115 -184 -200 180 -313 -279 -399 -364 192 -382 -455 -409 194 -429 173 -208 -220 -214 -109 -165 -157 152 -647 199 -571 -847 -660 199 -564 -847 -228 -251 179 -254 -279 132 -149 0 >log-odds matrix TEA1: alength= 4 w= 19 n= 0 bayes= 0 E= 0 -15 -79 -264 124 -65 73 -9 -38 -241 -421 -342 187 -280 -144 135 -10 -774 199 -649 -732 -847 -550 199 -806 -656 -23 165 -732 100 -263 62 -176 89 72 -115 -474 132 -409 -181 22 -160 -130 -327 166 -378 -433 -636 195 197 -562 -460 -576 196 -536 -689 -388 75 -102 -157 57 36 -94 -109 79 166 -140 -316 -154 -48 64 -56 8 -493 197 -493 -536 >log-odds matrix TEC1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 100 -19 -177 -27 135 -265 18 -263 -265 190 -325 -919 197 -978 -385 -845 -297 -904 -936 195 -334 -1036 -819 196 -1077 192 -236 -547 -836 122 -595 73 -222 80 -162 78 -80 -61 117 -96 >log-odds matrix THI2: alength= 4 w= 15 n= 0 bayes= 0 E= 0 -162 -10000 188 -10000 -10000 -10000 200 -10000 105 80 -10000 -243 200 -10000 -10000 -10000 200 -10000 -10000 -10000 -10000 170 -10000 -39 -10000 69 -10000 126 -223 85 78 -189 47 -10000 -10000 139 154 -10000 -10000 12 200 -10000 -10000 -10000 -10000 -10000 200 -10000 200 -10000 -10000 -10000 136 -10000 52 -10000 -132 173 -185 -10000 >log-odds matrix TOS8: alength= 4 w= 8 n= 0 bayes= 0 E= 0 16 91 -32 -232 -464 -64 -464 171 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 200 -10000 -10000 200 -10000 -10000 -10000 136 -184 -184 -18 101 -72 -72 -38 >log-odds matrix TYE7: alength= 4 w= 10 n= 0 bayes= 0 E= 0 118 -215 53 -411 -276 -86 -222 163 -280 187 -379 -292 192 -696 -360 -302 -307 181 -179 -344 -292 -148 177 -343 -266 -269 -614 188 -307 -468 193 -457 140 -145 -56 -164 -299 64 -191 103 >log-odds matrix UGA3: alength= 4 w= 8 n= 0 bayes= 0 E= 0 -132 82 11 -40 -264 21 133 -264 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -364 11 146 -364 178 -363 -363 -131 >log-odds matrix UME6: alength= 4 w= 13 n= 0 bayes= 0 E= 0 120 -48 -131 -79 58 -158 -81 68 63 -214 -203 99 -393 -391 -441 193 154 -702 -788 11 -124 -256 176 -557 -748 195 -289 -879 -897 198 -465 -812 -480 -783 198 -788 -609 199 -715 -712 -760 159 -159 -61 -62 -6 106 -171 152 -338 -133 -67 >log-odds matrix UPC2: alength= 4 w= 6 n= 0 bayes= 0 E= 0 124 -306 21 -147 60 -10000 -10000 131 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -464 -10000 199 -10000 172 -234 -149 -266 >log-odds matrix USV1: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -92 -37 -77 108 -90 -216 -67 139 35 114 -131 -311 -756 195 -322 -600 -806 197 -847 -362 -636 199 -718 -712 -774 197 -847 -392 -847 -518 -632 198 -864 -660 180 -98 194 -832 -277 -551 177 -144 -352 -282 >log-odds matrix XBP1: alength= 4 w= 7 n= 0 bayes= 0 E= 0 -185 44 -184 106 -189 125 -249 24 -580 -407 -932 197 -800 198 -700 -493 -493 -700 198 -800 197 -932 -407 -580 44 -234 124 -348 >log-odds matrix YAP1: alength= 4 w= 12 n= 0 bayes= 0 E= 0 -90 -27 -99 109 -117 -90 87 24 -34 152 -251 -255 -639 -728 -592 199 -585 -519 -12 160 193 -652 -296 -471 -677 189 -273 -284 -123 -375 87 74 100 -577 -618 98 197 -539 -481 -484 112 -597 -87 33 -280 -313 105 74 >log-odds matrix YAP3: alength= 4 w= 8 n= 0 bayes= 0 E= 0 138 -40 -106 -264 -10000 -10000 -10000 200 -10000 -10000 -10000 200 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -364 -364 -364 191 100 -106 -40 -40 >log-odds matrix YAP6: alength= 4 w= 15 n= 0 bayes= 0 E= 0 -13 -82 123 -258 -89 -143 41 82 -113 80 -119 45 1 -11 -179 83 -254 -112 137 -35 97 72 -276 -209 -319 -340 -214 184 -330 -351 -116 175 183 -294 -235 -314 -271 115 -128 27 -54 -236 153 -215 -188 -156 -272 169 137 -37 -195 -140 173 -199 -179 -285 -62 -171 95 16 >log-odds matrix YAP7: alength= 4 w= 11 n= 0 bayes= 0 E= 0 141 -7 -380 -164 -377 -10000 -10000 197 -10000 -10000 -30 167 195 -475 -476 -394 -109 -120 163 -10000 -10000 -476 -10000 199 157 -6 -373 -10000 200 -10000 -10000 -10000 -477 -10000 123 69 -28 151 -242 -279 123 -132 -29 -120 >log-odds matrix YBR239C: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -522 -287 -481 193 17 -217 -108 112 -301 152 -299 -18 -760 198 -441 -840 -840 -441 198 -760 -394 -751 197 -800 194 -507 -560 -330 196 -581 -387 -622 -278 152 -253 -29 >log-odds matrix YDR026c: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -145 -10000 -80 161 -10000 -10000 -354 197 -10000 -220 -10000 192 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -198 191 -10000 -10000 -10000 -10000 200 -10000 -323 -10000 196 -10000 >log-odds matrix YDR520C: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -736 199 -769 -697 -769 -784 199 -703 -729 -819 199 -736 178 -240 -143 -840 -91 -149 150 -178 154 -883 -773 12 -111 -864 -788 182 194 -297 -692 -585 73 -117 -119 55 >log-odds matrix YER130C: alength= 4 w= 9 n= 0 bayes= 0 E= 0 143 -240 -80 -90 106 -314 -46 11 176 -358 -709 -95 -23 -258 -743 157 199 -751 -632 -760 -574 -812 199 -764 -756 -779 199 -697 -184 -840 189 -884 -405 -541 197 -660 >log-odds matrix YER184C: alength= 4 w= 6 n= 0 bayes= 0 E= 0 -364 -56 -132 151 -10000 162 -74 -164 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 146 31 -10000 -10000 >log-odds matrix YGR067C: alength= 4 w= 13 n= 0 bayes= 0 E= 0 -528 -523 197 -589 -26 106 -453 4 -689 -641 198 -514 -594 -651 199 -832 -510 -612 198 -812 -700 -674 199 -658 -136 -50 -52 114 172 -356 -190 -153 21 80 -62 -114 -42 -75 -26 87 -5 -117 80 -23 -47 33 -57 42 146 -227 -72 -123 >log-odds matrix YKL222C: alength= 4 w= 11 n= 0 bayes= 0 E= 0 93 -5 -40 -140 129 -86 -6 -432 -640 199 -856 -523 -764 -664 199 -825 -715 -643 199 -825 181 -521 -113 -689 101 -282 80 -331 150 -251 -265 -24 -127 -201 -222 164 123 -164 -270 23 126 -117 -58 -104 >log-odds matrix YLL054C: alength= 4 w= 18 n= 0 bayes= 0 E= 0 -345 -106 -119 158 -312 187 -347 -276 -485 169 -62 -359 -379 -249 189 -486 -31 1 -38 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -486 189 -249 -379 -359 -62 169 -485 -276 -347 187 -312 158 -119 -106 -345 >log-odds matrix YLR278C: alength= 4 w= 8 n= 0 bayes= 0 E= 0 -93 76 -93 32 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 194 -10000 -264 -10000 -264 -84 171 -10000 -12 -364 -232 149 11 -232 -232 133 >log-odds matrix YML081W: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -98 -122 -177 147 115 -64 -74 -91 -364 197 -964 -812 -874 198 -1065 -416 -812 200 -760 -812 -906 199 -712 -751 -28 -794 122 -25 -703 199 -760 -825 117 -108 -371 27 >log-odds matrix YNR063W: alength= 4 w= 8 n= 0 bayes= 0 E= 0 142 -401 -377 24 -76 -415 -812 174 -144 172 -502 -173 -603 -623 -506 198 -774 199 -840 -715 -918 198 -425 -856 -751 -779 199 -789 159 -132 -137 -229 >log-odds matrix YOX1: alength= 4 w= 19 n= 0 bayes= 0 E= 0 135 -155 -120 -59 -131 -33 -162 131 -64 -101 -406 149 198 -561 -893 -523 192 -269 -649 -450 -440 -790 -603 198 -285 -162 -490 181 173 -765 -91 -270 98 -9 -13 -250 66 -143 -124 70 -86 -129 -119 138 -43 -145 -169 137 -30 2 -119 80 -179 111 -55 -20 -159 117 -13 -98 -153 59 -211 94 50 -87 35 -39 145 -164 -345 -23 95 -131 -10000 74 >log-odds matrix YPR013C: alength= 4 w= 11 n= 0 bayes= 0 E= 0 113 -159 -4 -98 83 -23 -15 -110 -200 83 -205 79 -784 -779 199 -718 -242 -86 -784 170 168 -82 -918 -211 115 -779 81 -593 199 -918 -625 -764 -800 -764 -743 199 -784 199 -784 -694 101 26 -138 -127 >log-odds matrix YPR015C: alength= 4 w= 12 n= 0 bayes= 0 E= 0 14 -231 89 -23 114 -56 -6 -274 -394 158 -385 -19 -594 -576 198 -647 -664 -396 -632 197 198 -504 -622 -558 182 -740 -119 -589 198 -684 -592 -523 -556 -689 -651 199 -569 198 -725 -474 38 120 -218 -254 -152 -17 -168 130 >log-odds matrix YPR022C: alength= 4 w= 6 n= 0 bayes= 0 E= 0 -75 139 -10000 -34 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 200 -10000 -10000 -10000 -10000 200 -10000 -10000 >log-odds matrix YPR196W: alength= 4 w= 10 n= 0 bayes= 0 E= 0 143 -410 -46 -96 44 -592 -500 138 -81 -397 -574 174 -46 -231 -351 158 -59 91 -184 24 -94 29 -215 102 -496 184 -150 -494 -401 194 -375 -514 -303 -259 181 -227 97 -77 19 -166 >log-odds matrix YRM1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 83 -73 42 -183 -265 177 -204 -241 -263 -431 188 -335 -397 -441 191 -306 176 -335 -132 -305 127 -171 -68 -59 178 -316 -296 -165 -55 -218 -252 155 131 -390 -104 -5 121 -53 -97 -104 >log-odds matrix YRR1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 55 -139 101 -284 -429 194 -676 -338 -669 -743 199 -756 -856 -445 198 -769 168 -261 -87 -358 106 -220 -15 -32 166 -353 -239 -80 -245 -422 -543 190 158 -353 -249 -43 153 -169 -122 -144 >log-odds matrix ZMS1: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -74 -74 -74 114 32 -117 -117 89 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -41 -266 110 -7 -232 177 -232 -232 100 -132 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