This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g GTATGT -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 73.36 s (26 us/read; 2.32 M reads/minute). === Summary === Total reads processed: 2,834,615 Reads with adapters: 51,254 (1.8%) Reads that were too short: 14,451 (0.5%) Reads written (passing filters): 36,803 (1.3%) Total basepairs processed: 853,219,115 bp Total written (filtered): 7,609,654 bp (0.9%) === Adapter 1 === Sequence: GTATGT; Type: regular 5'; Length: 6; Trimmed: 51254 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 1323 692.0 0 1323 7 151 692.0 0 151 8 5571 692.0 0 5571 9 5783 692.0 0 5783 10 35 692.0 0 35 11 28 692.0 0 28 12 35 692.0 0 35 13 28 692.0 0 28 14 19 692.0 0 19 15 29 692.0 0 29 16 28 692.0 0 28 17 22 692.0 0 22 18 27 692.0 0 27 19 31 692.0 0 31 20 20 692.0 0 20 21 22 692.0 0 22 22 30 692.0 0 30 23 34 692.0 0 34 24 37 692.0 0 37 25 23 692.0 0 23 26 29 692.0 0 29 27 27 692.0 0 27 28 39 692.0 0 39 29 31 692.0 0 31 30 38 692.0 0 38 31 23 692.0 0 23 32 13 692.0 0 13 33 18 692.0 0 18 34 32 692.0 0 32 35 30 692.0 0 30 36 44 692.0 0 44 37 27 692.0 0 27 38 50 692.0 0 50 39 48 692.0 0 48 40 31 692.0 0 31 41 26 692.0 0 26 42 37 692.0 0 37 43 42 692.0 0 42 44 30 692.0 0 30 45 34 692.0 0 34 46 31 692.0 0 31 47 28 692.0 0 28 48 34 692.0 0 34 49 216 692.0 0 216 50 28 692.0 0 28 51 26 692.0 0 26 52 23 692.0 0 23 53 35 692.0 0 35 54 27 692.0 0 27 55 34 692.0 0 34 56 36 692.0 0 36 57 46 692.0 0 46 58 36 692.0 0 36 59 28 692.0 0 28 60 25 692.0 0 25 61 24 692.0 0 24 62 29 692.0 0 29 63 34 692.0 0 34 64 32 692.0 0 32 65 37 692.0 0 37 66 45 692.0 0 45 67 58 692.0 0 58 68 56 692.0 0 56 69 510 692.0 0 510 70 36 692.0 0 36 71 159 692.0 0 159 72 41 692.0 0 41 73 36 692.0 0 36 74 30 692.0 0 30 75 36 692.0 0 36 76 81 692.0 0 81 77 56 692.0 0 56 78 103 692.0 0 103 79 70 692.0 0 70 80 309 692.0 0 309 81 66 692.0 0 66 82 284 692.0 0 284 83 68 692.0 0 68 84 37 692.0 0 37 85 38 692.0 0 38 86 52 692.0 0 52 87 55 692.0 0 55 88 37 692.0 0 37 89 48 692.0 0 48 90 67 692.0 0 67 91 41 692.0 0 41 92 46 692.0 0 46 93 54 692.0 0 54 94 77 692.0 0 77 95 84 692.0 0 84 96 1011 692.0 0 1011 97 536 692.0 0 536 98 1252 692.0 0 1252 99 58 692.0 0 58 100 55 692.0 0 55 101 46 692.0 0 46 102 49 692.0 0 49 103 28 692.0 0 28 104 28 692.0 0 28 105 31 692.0 0 31 106 37 692.0 0 37 107 40 692.0 0 40 108 68 692.0 0 68 109 28 692.0 0 28 110 45 692.0 0 45 111 41 692.0 0 41 112 42 692.0 0 42 113 63 692.0 0 63 114 65 692.0 0 65 115 42 692.0 0 42 116 52 692.0 0 52 117 39 692.0 0 39 118 38 692.0 0 38 119 46 692.0 0 46 120 50 692.0 0 50 121 37 692.0 0 37 122 43 692.0 0 43 123 50 692.0 0 50 124 42 692.0 0 42 125 38 692.0 0 38 126 192 692.0 0 192 127 140 692.0 0 140 128 301 692.0 0 301 129 110 692.0 0 110 130 139 692.0 0 139 131 108 692.0 0 108 132 287 692.0 0 287 133 274 692.0 0 274 134 444 692.0 0 444 135 108 692.0 0 108 136 36 692.0 0 36 137 46 692.0 0 46 138 65 692.0 0 65 139 105 692.0 0 105 140 51 692.0 0 51 141 45 692.0 0 45 142 30 692.0 0 30 143 47 692.0 0 47 144 41 692.0 0 41 145 37 692.0 0 37 146 53 692.0 0 53 147 55 692.0 0 55 148 336 692.0 0 336 149 519 692.0 0 519 150 360 692.0 0 360 151 53 692.0 0 53 152 27 692.0 0 27 153 44 692.0 0 44 154 37 692.0 0 37 155 35 692.0 0 35 156 47 692.0 0 47 157 52 692.0 0 52 158 34 692.0 0 34 159 35 692.0 0 35 160 26 692.0 0 26 161 40 692.0 0 40 162 47 692.0 0 47 163 39 692.0 0 39 164 58 692.0 0 58 165 56 692.0 0 56 166 43 692.0 0 43 167 37 692.0 0 37 168 44 692.0 0 44 169 39 692.0 0 39 170 41 692.0 0 41 171 39 692.0 0 39 172 66 692.0 0 66 173 79 692.0 0 79 174 130 692.0 0 130 175 147 692.0 0 147 176 56 692.0 0 56 177 83 692.0 0 83 178 71 692.0 0 71 179 56 692.0 0 56 180 62 692.0 0 62 181 71 692.0 0 71 182 66 692.0 0 66 183 65 692.0 0 65 184 106 692.0 0 106 185 147 692.0 0 147 186 179 692.0 0 179 187 1177 692.0 0 1177 188 2325 692.0 0 2325 189 4187 692.0 0 4187 190 1050 692.0 0 1050 191 47 692.0 0 47 192 44 692.0 0 44 193 44 692.0 0 44 194 51 692.0 0 51 195 37 692.0 0 37 196 42 692.0 0 42 197 44 692.0 0 44 198 40 692.0 0 40 199 44 692.0 0 44 200 34 692.0 0 34 201 37 692.0 0 37 202 31 692.0 0 31 203 63 692.0 0 63 204 42 692.0 0 42 205 53 692.0 0 53 206 59 692.0 0 59 207 76 692.0 0 76 208 75 692.0 0 75 209 648 692.0 0 648 210 390 692.0 0 390 211 1343 692.0 0 1343 212 96 692.0 0 96 213 43 692.0 0 43 214 47 692.0 0 47 215 34 692.0 0 34 216 40 692.0 0 40 217 49 692.0 0 49 218 47 692.0 0 47 219 56 692.0 0 56 220 52 692.0 0 52 221 36 692.0 0 36 222 43 692.0 0 43 223 74 692.0 0 74 224 55 692.0 0 55 225 88 692.0 0 88 226 190 692.0 0 190 227 67 692.0 0 67 228 92 692.0 0 92 229 36 692.0 0 36 230 91 692.0 0 91 231 52 692.0 0 52 232 71 692.0 0 71 233 116 692.0 0 116 234 100 692.0 0 100 235 129 692.0 0 129 236 126 692.0 0 126 237 70 692.0 0 70 238 75 692.0 0 75 239 65 692.0 0 65 240 262 692.0 0 262 241 181 692.0 0 181 242 342 692.0 0 342 243 121 692.0 0 121 244 114 692.0 0 114 245 87 692.0 0 87 246 110 692.0 0 110 247 309 692.0 0 309 248 940 692.0 0 940 249 249 692.0 0 249 250 125 692.0 0 125 251 263 692.0 0 263 252 172 692.0 0 172 253 338 692.0 0 338 254 624 692.0 0 624 255 776 692.0 0 776 256 142 692.0 0 142 257 61 692.0 0 61 258 91 692.0 0 91 259 61 692.0 0 61 260 205 692.0 0 205 261 147 692.0 0 147 262 196 692.0 0 196 263 53 692.0 0 53 264 59 692.0 0 59 265 96 692.0 0 96 266 80 692.0 0 80 267 172 692.0 0 172 268 140 692.0 0 140 269 234 692.0 0 234 270 142 692.0 0 142 271 402 692.0 0 402 272 222 692.0 0 222 273 152 692.0 0 152 274 333 692.0 0 333 275 79 692.0 0 79 276 35 692.0 0 35 277 44 692.0 0 44 278 53 692.0 0 53 279 44 692.0 0 44 280 58 692.0 0 58 281 70 692.0 0 70 282 43 692.0 0 43 283 102 692.0 0 102 284 67 692.0 0 67 285 45 692.0 0 45 286 40 692.0 0 40 287 37 692.0 0 37 288 43 692.0 0 43 289 38 692.0 0 38 290 42 692.0 0 42 291 53 692.0 0 53 292 46 692.0 0 46 293 54 692.0 0 54 294 73 692.0 0 73 295 69 692.0 0 69 296 62 692.0 0 62 297 56 692.0 0 56 298 101 692.0 0 101 299 57 692.0 0 57 300 50 692.0 0 50 301 169 692.0 0 169 Finished in 1.43 s (39 us/read; 1.54 M reads/minute). === Summary === Total reads processed: 36,803 Reads with adapters: 6,745 (18.3%) Reads that were too short: 14 (0.0%) Reads written (passing filters): 6,731 (18.3%) Total basepairs processed: 7,609,654 bp Total written (filtered): 1,847,956 bp (24.3%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 6745 times. No. of allowed errors: 0-4 bp: 0; 5-9 bp: 1; 10-14 bp: 2; 15-17 bp: 3 Overview of removed sequences length count expect max.err error counts 15 2 0.0 3 0 0 1 1 16 57 0.0 3 0 57 17 5393 0.0 3 5277 107 9 18 11 0.0 3 0 10 0 1 19 19 0.0 3 7 7 4 1 20 1191 0.0 3 1161 25 0 5 21 1 0.0 3 1 22 1 0.0 3 0 0 0 1 23 1 0.0 3 0 0 0 1 34 6 0.0 3 0 0 0 6 40 1 0.0 3 0 0 0 1 44 2 0.0 3 0 0 0 2 59 14 0.0 3 0 0 0 14 61 1 0.0 3 0 0 0 1 62 1 0.0 3 0 0 0 1 64 1 0.0 3 0 0 0 1 65 6 0.0 3 0 0 0 6 66 1 0.0 3 0 0 0 1 70 17 0.0 3 0 0 0 17 72 1 0.0 3 0 0 0 1 73 2 0.0 3 0 0 0 2 86 1 0.0 3 0 0 0 1 96 1 0.0 3 0 0 0 1 114 1 0.0 3 0 0 0 1 115 1 0.0 3 0 0 0 1 116 1 0.0 3 0 0 0 1 127 1 0.0 3 0 0 0 1 130 1 0.0 3 0 0 0 1 145 2 0.0 3 1 0 0 1 163 1 0.0 3 0 0 1 171 1 0.0 3 0 0 0 1 191 2 0.0 3 0 0 0 2 205 1 0.0 3 0 0 0 1 216 1 0.0 3 0 0 0 1 280 1 0.0 3 0 0 0 1 This is cutadapt 1.11 with Python 2.7.12 Command line parameters: -a taatctatgggnncatcagg - Trimming 1 adapter with at most 10.0% errors in single-end mode ... Finished in 0.24 s (36 us/read; 1.68 M reads/minute). === Summary === Total reads processed: 6,731 Reads with adapters: 28 (0.4%) Reads written (passing filters): 6,731 (100.0%) Total basepairs processed: 1,847,956 bp Total written (filtered): 1,847,868 bp (100.0%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 28 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 50.0% C: 28.6% G: 17.9% T: 3.6% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 25 105.2 0 25 4 2 26.3 0 2 5 1 6.6 0 1