This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g GCGGTT -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 166.00 s (31 us/read; 1.93 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 192,481 (3.6%) Reads that were too short: 181,412 (3.4%) Reads written (passing filters): 11,069 (0.2%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 2,474,022 bp (0.2%) === Adapter 1 === Sequence: GCGGTT; Type: regular 5'; Length: 6; Trimmed: 192481 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 54 1302.2 0 54 7 99 1302.2 0 99 8 3331 1302.2 0 3331 9 938 1302.2 0 938 10 23 1302.2 0 23 11 18 1302.2 0 18 12 12 1302.2 0 12 13 18 1302.2 0 18 14 13 1302.2 0 13 15 19 1302.2 0 19 16 19 1302.2 0 19 17 25 1302.2 0 25 18 99 1302.2 0 99 19 59 1302.2 0 59 20 27 1302.2 0 27 21 19 1302.2 0 19 22 37 1302.2 0 37 23 16 1302.2 0 16 24 21 1302.2 0 21 25 16 1302.2 0 16 26 21 1302.2 0 21 27 18 1302.2 0 18 28 13 1302.2 0 13 29 17 1302.2 0 17 30 19 1302.2 0 19 31 31 1302.2 0 31 32 12 1302.2 0 12 33 113 1302.2 0 113 34 15 1302.2 0 15 35 16 1302.2 0 16 36 10 1302.2 0 10 37 18 1302.2 0 18 38 25 1302.2 0 25 39 16 1302.2 0 16 40 20 1302.2 0 20 41 15 1302.2 0 15 42 54 1302.2 0 54 43 22 1302.2 0 22 44 27 1302.2 0 27 45 206 1302.2 0 206 46 25 1302.2 0 25 47 18 1302.2 0 18 48 22 1302.2 0 22 49 20 1302.2 0 20 50 22 1302.2 0 22 51 46 1302.2 0 46 52 174 1302.2 0 174 53 48 1302.2 0 48 54 19 1302.2 0 19 55 22 1302.2 0 22 56 14 1302.2 0 14 57 26 1302.2 0 26 58 28 1302.2 0 28 59 10 1302.2 0 10 60 10 1302.2 0 10 61 18 1302.2 0 18 62 18 1302.2 0 18 63 47 1302.2 0 47 64 53 1302.2 0 53 65 31 1302.2 0 31 66 14 1302.2 0 14 67 22 1302.2 0 22 68 16 1302.2 0 16 69 23 1302.2 0 23 70 11 1302.2 0 11 71 6 1302.2 0 6 72 3 1302.2 0 3 73 14 1302.2 0 14 74 15 1302.2 0 15 75 20 1302.2 0 20 76 16 1302.2 0 16 77 26 1302.2 0 26 78 18 1302.2 0 18 79 12 1302.2 0 12 80 10 1302.2 0 10 81 21 1302.2 0 21 82 40 1302.2 0 40 83 13 1302.2 0 13 84 39 1302.2 0 39 85 57 1302.2 0 57 86 26 1302.2 0 26 87 24 1302.2 0 24 88 22 1302.2 0 22 89 30 1302.2 0 30 90 9 1302.2 0 9 91 29 1302.2 0 29 92 33 1302.2 0 33 93 36 1302.2 0 36 94 66 1302.2 0 66 95 60 1302.2 0 60 96 25 1302.2 0 25 97 26 1302.2 0 26 98 17 1302.2 0 17 99 23 1302.2 0 23 100 9 1302.2 0 9 101 17 1302.2 0 17 102 12 1302.2 0 12 103 16 1302.2 0 16 104 11 1302.2 0 11 105 13 1302.2 0 13 106 13 1302.2 0 13 107 7 1302.2 0 7 108 5 1302.2 0 5 109 21 1302.2 0 21 110 8 1302.2 0 8 111 11 1302.2 0 11 112 6 1302.2 0 6 113 13 1302.2 0 13 114 7 1302.2 0 7 115 15 1302.2 0 15 116 11 1302.2 0 11 117 10 1302.2 0 10 118 9 1302.2 0 9 119 9 1302.2 0 9 120 23 1302.2 0 23 121 13 1302.2 0 13 122 19 1302.2 0 19 123 31 1302.2 0 31 124 29 1302.2 0 29 125 24 1302.2 0 24 126 70 1302.2 0 70 127 31 1302.2 0 31 128 16 1302.2 0 16 129 26 1302.2 0 26 130 22 1302.2 0 22 131 53 1302.2 0 53 132 359 1302.2 0 359 133 44 1302.2 0 44 134 27 1302.2 0 27 135 20 1302.2 0 20 136 24 1302.2 0 24 137 8 1302.2 0 8 138 16 1302.2 0 16 139 27 1302.2 0 27 140 15 1302.2 0 15 141 26 1302.2 0 26 142 9 1302.2 0 9 143 18 1302.2 0 18 144 17 1302.2 0 17 145 14 1302.2 0 14 146 20 1302.2 0 20 147 16 1302.2 0 16 148 21 1302.2 0 21 149 15 1302.2 0 15 150 5 1302.2 0 5 151 11 1302.2 0 11 152 34 1302.2 0 34 153 7 1302.2 0 7 154 12 1302.2 0 12 155 19 1302.2 0 19 156 18 1302.2 0 18 157 12 1302.2 0 12 158 11 1302.2 0 11 159 14 1302.2 0 14 160 10 1302.2 0 10 161 10 1302.2 0 10 162 9 1302.2 0 9 163 11 1302.2 0 11 164 16 1302.2 0 16 165 23 1302.2 0 23 166 28 1302.2 0 28 167 17 1302.2 0 17 168 12 1302.2 0 12 169 8 1302.2 0 8 170 10 1302.2 0 10 171 20 1302.2 0 20 172 21 1302.2 0 21 173 35 1302.2 0 35 174 29 1302.2 0 29 175 18 1302.2 0 18 176 30 1302.2 0 30 177 19 1302.2 0 19 178 12 1302.2 0 12 179 22 1302.2 0 22 180 38 1302.2 0 38 181 73 1302.2 0 73 182 33 1302.2 0 33 183 27 1302.2 0 27 184 18 1302.2 0 18 185 53 1302.2 0 53 186 39 1302.2 0 39 187 56 1302.2 0 56 188 27 1302.2 0 27 189 22 1302.2 0 22 190 21 1302.2 0 21 191 42 1302.2 0 42 192 99 1302.2 0 99 193 559 1302.2 0 559 194 452 1302.2 0 452 195 407 1302.2 0 407 196 53 1302.2 0 53 197 22 1302.2 0 22 198 15 1302.2 0 15 199 17 1302.2 0 17 200 77 1302.2 0 77 201 96 1302.2 0 96 202 28 1302.2 0 28 203 18 1302.2 0 18 204 14 1302.2 0 14 205 17 1302.2 0 17 206 32 1302.2 0 32 207 32 1302.2 0 32 208 22 1302.2 0 22 209 15 1302.2 0 15 210 30 1302.2 0 30 211 67 1302.2 0 67 212 72 1302.2 0 72 213 47 1302.2 0 47 214 51 1302.2 0 51 215 42 1302.2 0 42 216 32 1302.2 0 32 217 46 1302.2 0 46 218 40 1302.2 0 40 219 70 1302.2 0 70 220 67 1302.2 0 67 221 135 1302.2 0 135 222 115 1302.2 0 115 223 146 1302.2 0 146 224 506 1302.2 0 506 225 248 1302.2 0 248 226 244 1302.2 0 244 227 466 1302.2 0 466 228 275 1302.2 0 275 229 231 1302.2 0 231 230 301 1302.2 0 301 231 412 1302.2 0 412 232 1392 1302.2 0 1392 233 2319 1302.2 0 2319 234 3657 1302.2 0 3657 235 939 1302.2 0 939 236 582 1302.2 0 582 237 5474 1302.2 0 5474 238 10988 1302.2 0 10988 239 26797 1302.2 0 26797 240 3093 1302.2 0 3093 241 4281 1302.2 0 4281 242 615 1302.2 0 615 243 341 1302.2 0 341 244 739 1302.2 0 739 245 286 1302.2 0 286 246 327 1302.2 0 327 247 587 1302.2 0 587 248 362 1302.2 0 362 249 455 1302.2 0 455 250 747 1302.2 0 747 251 1111 1302.2 0 1111 252 3011 1302.2 0 3011 253 2650 1302.2 0 2650 254 4390 1302.2 0 4390 255 1026 1302.2 0 1026 256 1022 1302.2 0 1022 257 7913 1302.2 0 7913 258 40195 1302.2 0 40195 259 44682 1302.2 0 44682 260 5209 1302.2 0 5209 261 35 1302.2 0 35 262 19 1302.2 0 19 263 4 1302.2 0 4 264 12 1302.2 0 12 265 39 1302.2 0 39 266 9 1302.2 0 9 267 14 1302.2 0 14 268 11 1302.2 0 11 269 13 1302.2 0 13 270 8 1302.2 0 8 271 5 1302.2 0 5 272 9 1302.2 0 9 273 6 1302.2 0 6 274 8 1302.2 0 8 275 7 1302.2 0 7 276 11 1302.2 0 11 277 7 1302.2 0 7 278 7 1302.2 0 7 279 8 1302.2 0 8 280 8 1302.2 0 8 281 11 1302.2 0 11 282 48 1302.2 0 48 283 38 1302.2 0 38 284 27 1302.2 0 27 285 90 1302.2 0 90 286 357 1302.2 0 357 287 603 1302.2 0 603 288 18 1302.2 0 18 289 14 1302.2 0 14 290 14 1302.2 0 14 291 88 1302.2 0 88 292 69 1302.2 0 69 293 60 1302.2 0 60 294 13 1302.2 0 13 295 6 1302.2 0 6 296 4 1302.2 0 4 297 74 1302.2 0 74 298 105 1302.2 0 105 299 26 1302.2 0 26 300 17 1302.2 0 17 301 479 1302.2 0 479 Finished in 0.54 s (49 us/read; 1.23 M reads/minute). === Summary === Total reads processed: 11,069 Reads with adapters: 3,335 (30.1%) Reads that were too short: 9 (0.1%) Reads written (passing filters): 3,326 (30.0%) Total basepairs processed: 2,474,022 bp Total written (filtered): 916,464 bp (37.0%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 3335 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 14 1 0.0 2 0 0 0 1 15 1 0.0 3 0 0 0 1 16 26 0.0 3 0 16 2 8 17 3092 0.0 3 2990 91 8 3 18 75 0.0 3 0 7 67 1 19 105 0.0 3 5 2 28 70 20 16 0.0 3 2 0 0 14 21 1 0.0 3 0 0 1 26 1 0.0 3 0 0 0 1 48 1 0.0 3 0 0 0 1 49 1 0.0 3 1 57 1 0.0 3 0 0 0 1 60 3 0.0 3 0 0 0 3 62 1 0.0 3 0 0 0 1 94 1 0.0 3 0 0 0 1 96 1 0.0 3 0 0 0 1 99 1 0.0 3 0 0 0 1 175 1 0.0 3 0 0 0 1 209 1 0.0 3 0 0 0 1 217 3 0.0 3 0 0 0 3 240 1 0.0 3 0 0 0 1 281 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 0.15 s (45 us/read; 1.33 M reads/minute). === Summary === Total reads processed: 3,326 Reads with adapters: 219 (6.6%) Reads written (passing filters): 3,326 (100.0%) Total basepairs processed: 916,464 bp Total written (filtered): 915,783 bp (99.9%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 219 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 57.1% C: 7.3% G: 21.9% T: 13.7% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 196 52.0 0 196 4 22 13.0 0 22 5 1 3.2 0 1