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 163.92 s (31 us/read; 1.95 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 206,807 (3.9%) Reads that were too short: 194,888 (3.7%) Reads written (passing filters): 11,919 (0.2%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 2,542,037 bp (0.2%) === Adapter 1 === Sequence: GCGGTT; Type: regular 5'; Length: 6; Trimmed: 206807 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 51 1302.2 0 51 7 79 1302.2 0 79 8 3349 1302.2 0 3349 9 1043 1302.2 0 1043 10 18 1302.2 0 18 11 26 1302.2 0 26 12 18 1302.2 0 18 13 15 1302.2 0 15 14 23 1302.2 0 23 15 18 1302.2 0 18 16 18 1302.2 0 18 17 36 1302.2 0 36 18 27 1302.2 0 27 19 18 1302.2 0 18 20 35 1302.2 0 35 21 13 1302.2 0 13 22 25 1302.2 0 25 23 12 1302.2 0 12 24 21 1302.2 0 21 25 9 1302.2 0 9 26 24 1302.2 0 24 27 14 1302.2 0 14 28 17 1302.2 0 17 29 25 1302.2 0 25 30 23 1302.2 0 23 31 13 1302.2 0 13 32 9 1302.2 0 9 33 16 1302.2 0 16 34 13 1302.2 0 13 35 16 1302.2 0 16 36 24 1302.2 0 24 37 17 1302.2 0 17 38 17 1302.2 0 17 39 25 1302.2 0 25 40 25 1302.2 0 25 41 28 1302.2 0 28 42 11 1302.2 0 11 43 17 1302.2 0 17 44 17 1302.2 0 17 45 10 1302.2 0 10 46 21 1302.2 0 21 47 22 1302.2 0 22 48 12 1302.2 0 12 49 10 1302.2 0 10 50 18 1302.2 0 18 51 16 1302.2 0 16 52 16 1302.2 0 16 53 194 1302.2 0 194 54 111 1302.2 0 111 55 19 1302.2 0 19 56 25 1302.2 0 25 57 27 1302.2 0 27 58 13 1302.2 0 13 59 6 1302.2 0 6 60 28 1302.2 0 28 61 18 1302.2 0 18 62 13 1302.2 0 13 63 45 1302.2 0 45 64 46 1302.2 0 46 65 21 1302.2 0 21 66 17 1302.2 0 17 67 26 1302.2 0 26 68 21 1302.2 0 21 69 23 1302.2 0 23 70 15 1302.2 0 15 71 16 1302.2 0 16 72 13 1302.2 0 13 73 18 1302.2 0 18 74 13 1302.2 0 13 75 19 1302.2 0 19 76 14 1302.2 0 14 77 38 1302.2 0 38 78 19 1302.2 0 19 79 19 1302.2 0 19 80 8 1302.2 0 8 81 24 1302.2 0 24 82 14 1302.2 0 14 83 9 1302.2 0 9 84 17 1302.2 0 17 85 10 1302.2 0 10 86 13 1302.2 0 13 87 15 1302.2 0 15 88 13 1302.2 0 13 89 24 1302.2 0 24 90 20 1302.2 0 20 91 26 1302.2 0 26 92 25 1302.2 0 25 93 23 1302.2 0 23 94 20 1302.2 0 20 95 19 1302.2 0 19 96 13 1302.2 0 13 97 16 1302.2 0 16 98 14 1302.2 0 14 99 34 1302.2 0 34 100 20 1302.2 0 20 101 15 1302.2 0 15 102 27 1302.2 0 27 103 24 1302.2 0 24 104 15 1302.2 0 15 105 17 1302.2 0 17 106 17 1302.2 0 17 107 17 1302.2 0 17 108 17 1302.2 0 17 109 17 1302.2 0 17 110 9 1302.2 0 9 111 17 1302.2 0 17 112 13 1302.2 0 13 113 14 1302.2 0 14 114 22 1302.2 0 22 115 14 1302.2 0 14 116 19 1302.2 0 19 117 22 1302.2 0 22 118 21 1302.2 0 21 119 17 1302.2 0 17 120 24 1302.2 0 24 121 18 1302.2 0 18 122 37 1302.2 0 37 123 23 1302.2 0 23 124 28 1302.2 0 28 125 39 1302.2 0 39 126 73 1302.2 0 73 127 27 1302.2 0 27 128 20 1302.2 0 20 129 22 1302.2 0 22 130 36 1302.2 0 36 131 66 1302.2 0 66 132 371 1302.2 0 371 133 62 1302.2 0 62 134 30 1302.2 0 30 135 32 1302.2 0 32 136 25 1302.2 0 25 137 21 1302.2 0 21 138 31 1302.2 0 31 139 26 1302.2 0 26 140 23 1302.2 0 23 141 50 1302.2 0 50 142 34 1302.2 0 34 143 24 1302.2 0 24 144 34 1302.2 0 34 145 26 1302.2 0 26 146 29 1302.2 0 29 147 34 1302.2 0 34 148 32 1302.2 0 32 149 34 1302.2 0 34 150 24 1302.2 0 24 151 32 1302.2 0 32 152 41 1302.2 0 41 153 34 1302.2 0 34 154 35 1302.2 0 35 155 27 1302.2 0 27 156 22 1302.2 0 22 157 37 1302.2 0 37 158 28 1302.2 0 28 159 25 1302.2 0 25 160 32 1302.2 0 32 161 38 1302.2 0 38 162 26 1302.2 0 26 163 36 1302.2 0 36 164 34 1302.2 0 34 165 42 1302.2 0 42 166 44 1302.2 0 44 167 42 1302.2 0 42 168 41 1302.2 0 41 169 34 1302.2 0 34 170 28 1302.2 0 28 171 37 1302.2 0 37 172 41 1302.2 0 41 173 59 1302.2 0 59 174 47 1302.2 0 47 175 49 1302.2 0 49 176 60 1302.2 0 60 177 33 1302.2 0 33 178 38 1302.2 0 38 179 58 1302.2 0 58 180 49 1302.2 0 49 181 87 1302.2 0 87 182 57 1302.2 0 57 183 49 1302.2 0 49 184 42 1302.2 0 42 185 67 1302.2 0 67 186 78 1302.2 0 78 187 53 1302.2 0 53 188 51 1302.2 0 51 189 52 1302.2 0 52 190 45 1302.2 0 45 191 60 1302.2 0 60 192 105 1302.2 0 105 193 525 1302.2 0 525 194 491 1302.2 0 491 195 417 1302.2 0 417 196 59 1302.2 0 59 197 47 1302.2 0 47 198 36 1302.2 0 36 199 47 1302.2 0 47 200 91 1302.2 0 91 201 78 1302.2 0 78 202 37 1302.2 0 37 203 40 1302.2 0 40 204 51 1302.2 0 51 205 51 1302.2 0 51 206 47 1302.2 0 47 207 54 1302.2 0 54 208 48 1302.2 0 48 209 49 1302.2 0 49 210 67 1302.2 0 67 211 59 1302.2 0 59 212 63 1302.2 0 63 213 98 1302.2 0 98 214 72 1302.2 0 72 215 66 1302.2 0 66 216 46 1302.2 0 46 217 68 1302.2 0 68 218 68 1302.2 0 68 219 101 1302.2 0 101 220 120 1302.2 0 120 221 133 1302.2 0 133 222 156 1302.2 0 156 223 182 1302.2 0 182 224 459 1302.2 0 459 225 257 1302.2 0 257 226 279 1302.2 0 279 227 482 1302.2 0 482 228 273 1302.2 0 273 229 251 1302.2 0 251 230 384 1302.2 0 384 231 390 1302.2 0 390 232 1416 1302.2 0 1416 233 2407 1302.2 0 2407 234 4074 1302.2 0 4074 235 926 1302.2 0 926 236 598 1302.2 0 598 237 5818 1302.2 0 5818 238 11843 1302.2 0 11843 239 30308 1302.2 0 30308 240 3322 1302.2 0 3322 241 4341 1302.2 0 4341 242 632 1302.2 0 632 243 378 1302.2 0 378 244 729 1302.2 0 729 245 318 1302.2 0 318 246 321 1302.2 0 321 247 708 1302.2 0 708 248 514 1302.2 0 514 249 468 1302.2 0 468 250 784 1302.2 0 784 251 1292 1302.2 0 1292 252 3642 1302.2 0 3642 253 3579 1302.2 0 3579 254 5858 1302.2 0 5858 255 928 1302.2 0 928 256 1096 1302.2 0 1096 257 7895 1302.2 0 7895 258 41244 1302.2 0 41244 259 45652 1302.2 0 45652 260 7977 1302.2 0 7977 261 48 1302.2 0 48 262 38 1302.2 0 38 263 20 1302.2 0 20 264 30 1302.2 0 30 265 34 1302.2 0 34 266 34 1302.2 0 34 267 29 1302.2 0 29 268 28 1302.2 0 28 269 21 1302.2 0 21 270 25 1302.2 0 25 271 17 1302.2 0 17 272 22 1302.2 0 22 273 42 1302.2 0 42 274 23 1302.2 0 23 275 20 1302.2 0 20 276 30 1302.2 0 30 277 22 1302.2 0 22 278 24 1302.2 0 24 279 21 1302.2 0 21 280 26 1302.2 0 26 281 26 1302.2 0 26 282 66 1302.2 0 66 283 45 1302.2 0 45 284 27 1302.2 0 27 285 67 1302.2 0 67 286 82 1302.2 0 82 287 82 1302.2 0 82 288 15 1302.2 0 15 289 18 1302.2 0 18 290 20 1302.2 0 20 291 71 1302.2 0 71 292 60 1302.2 0 60 293 50 1302.2 0 50 294 32 1302.2 0 32 295 19 1302.2 0 19 296 14 1302.2 0 14 297 19 1302.2 0 19 298 23 1302.2 0 23 299 14 1302.2 0 14 300 22 1302.2 0 22 301 43 1302.2 0 43 Finished in 0.57 s (48 us/read; 1.25 M reads/minute). === Summary === Total reads processed: 11,919 Reads with adapters: 3,318 (27.8%) Reads that were too short: 4 (0.0%) Reads written (passing filters): 3,314 (27.8%) Total basepairs processed: 2,542,037 bp Total written (filtered): 914,515 bp (36.0%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 3318 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 3 0.0 2 0 0 0 3 15 7 0.0 3 0 0 4 3 16 23 0.0 3 0 21 1 1 17 3080 0.0 3 3030 43 5 2 18 98 0.0 3 1 10 84 3 19 98 0.0 3 6 0 21 71 20 5 0.0 3 1 0 0 4 217 4 0.0 3 0 0 0 4 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: 3,314 Reads with adapters: 204 (6.2%) Reads written (passing filters): 3,314 (100.0%) Total basepairs processed: 914,515 bp Total written (filtered): 913,898 bp (99.9%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 204 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 65.2% C: 2.5% G: 31.4% T: 1.0% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 202 51.8 0 202 4 1 12.9 0 1 7 1 0.2 0 1