This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g TGTGGC -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 164.18 s (31 us/read; 1.95 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 47,932 (0.9%) Reads that were too short: 14,581 (0.3%) Reads written (passing filters): 33,351 (0.6%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 9,403,245 bp (0.6%) === Adapter 1 === Sequence: TGTGGC; Type: regular 5'; Length: 6; Trimmed: 47932 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 1073 1302.2 0 1073 7 27372 1302.2 0 27372 8 52 1302.2 0 52 9 567 1302.2 0 567 10 5 1302.2 0 5 11 36 1302.2 0 36 12 10 1302.2 0 10 13 11 1302.2 0 11 14 10 1302.2 0 10 15 12 1302.2 0 12 16 14 1302.2 0 14 17 20 1302.2 0 20 18 18 1302.2 0 18 19 65 1302.2 0 65 20 17 1302.2 0 17 21 162 1302.2 0 162 22 15 1302.2 0 15 23 52 1302.2 0 52 24 7 1302.2 0 7 25 9 1302.2 0 9 26 18 1302.2 0 18 27 9 1302.2 0 9 28 6 1302.2 0 6 29 19 1302.2 0 19 30 23 1302.2 0 23 31 10 1302.2 0 10 32 29 1302.2 0 29 33 19 1302.2 0 19 34 17 1302.2 0 17 35 11 1302.2 0 11 36 25 1302.2 0 25 37 17 1302.2 0 17 38 18 1302.2 0 18 39 14 1302.2 0 14 40 20 1302.2 0 20 41 10 1302.2 0 10 42 20 1302.2 0 20 43 12 1302.2 0 12 44 41 1302.2 0 41 45 41 1302.2 0 41 46 38 1302.2 0 38 47 117 1302.2 0 117 48 38 1302.2 0 38 49 43 1302.2 0 43 50 20 1302.2 0 20 51 31 1302.2 0 31 52 25 1302.2 0 25 53 45 1302.2 0 45 54 28 1302.2 0 28 55 10 1302.2 0 10 56 6 1302.2 0 6 57 7 1302.2 0 7 58 9 1302.2 0 9 59 16 1302.2 0 16 60 23 1302.2 0 23 61 10 1302.2 0 10 62 11 1302.2 0 11 63 10 1302.2 0 10 64 16 1302.2 0 16 65 12 1302.2 0 12 66 14 1302.2 0 14 67 14 1302.2 0 14 68 9 1302.2 0 9 69 16 1302.2 0 16 70 28 1302.2 0 28 71 17 1302.2 0 17 72 10 1302.2 0 10 73 34 1302.2 0 34 74 10 1302.2 0 10 75 3 1302.2 0 3 76 6 1302.2 0 6 77 14 1302.2 0 14 78 16 1302.2 0 16 79 15 1302.2 0 15 80 45 1302.2 0 45 81 49 1302.2 0 49 82 35 1302.2 0 35 83 52 1302.2 0 52 84 162 1302.2 0 162 85 60 1302.2 0 60 86 26 1302.2 0 26 87 32 1302.2 0 32 88 12 1302.2 0 12 89 10 1302.2 0 10 90 8 1302.2 0 8 91 15 1302.2 0 15 92 13 1302.2 0 13 93 23 1302.2 0 23 94 23 1302.2 0 23 95 19 1302.2 0 19 96 8 1302.2 0 8 97 21 1302.2 0 21 98 11 1302.2 0 11 99 13 1302.2 0 13 100 6 1302.2 0 6 101 13 1302.2 0 13 102 9 1302.2 0 9 103 5 1302.2 0 5 104 7 1302.2 0 7 105 10 1302.2 0 10 106 7 1302.2 0 7 107 6 1302.2 0 6 108 13 1302.2 0 13 109 6 1302.2 0 6 110 5 1302.2 0 5 111 13 1302.2 0 13 112 16 1302.2 0 16 113 3 1302.2 0 3 114 8 1302.2 0 8 115 12 1302.2 0 12 116 36 1302.2 0 36 117 39 1302.2 0 39 118 11 1302.2 0 11 119 18 1302.2 0 18 120 17 1302.2 0 17 121 18 1302.2 0 18 122 18 1302.2 0 18 123 21 1302.2 0 21 124 19 1302.2 0 19 125 20 1302.2 0 20 126 38 1302.2 0 38 127 9 1302.2 0 9 128 13 1302.2 0 13 129 14 1302.2 0 14 130 61 1302.2 0 61 131 103 1302.2 0 103 132 93 1302.2 0 93 133 36 1302.2 0 36 134 26 1302.2 0 26 135 27 1302.2 0 27 136 31 1302.2 0 31 137 46 1302.2 0 46 138 37 1302.2 0 37 139 69 1302.2 0 69 140 29 1302.2 0 29 141 17 1302.2 0 17 142 28 1302.2 0 28 143 33 1302.2 0 33 144 22 1302.2 0 22 145 16 1302.2 0 16 146 17 1302.2 0 17 147 18 1302.2 0 18 148 3 1302.2 0 3 149 8 1302.2 0 8 150 12 1302.2 0 12 151 17 1302.2 0 17 152 30 1302.2 0 30 153 26 1302.2 0 26 154 11 1302.2 0 11 155 13 1302.2 0 13 156 18 1302.2 0 18 157 16 1302.2 0 16 158 17 1302.2 0 17 159 19 1302.2 0 19 160 18 1302.2 0 18 161 17 1302.2 0 17 162 16 1302.2 0 16 163 20 1302.2 0 20 164 23 1302.2 0 23 165 28 1302.2 0 28 166 24 1302.2 0 24 167 27 1302.2 0 27 168 32 1302.2 0 32 169 31 1302.2 0 31 170 18 1302.2 0 18 171 14 1302.2 0 14 172 15 1302.2 0 15 173 7 1302.2 0 7 174 9 1302.2 0 9 175 7 1302.2 0 7 176 14 1302.2 0 14 177 25 1302.2 0 25 178 4 1302.2 0 4 179 11 1302.2 0 11 180 16 1302.2 0 16 181 17 1302.2 0 17 182 12 1302.2 0 12 183 22 1302.2 0 22 184 23 1302.2 0 23 185 18 1302.2 0 18 186 19 1302.2 0 19 187 25 1302.2 0 25 188 24 1302.2 0 24 189 38 1302.2 0 38 190 14 1302.2 0 14 191 9 1302.2 0 9 192 14 1302.2 0 14 193 19 1302.2 0 19 194 21 1302.2 0 21 195 27 1302.2 0 27 196 17 1302.2 0 17 197 14 1302.2 0 14 198 16 1302.2 0 16 199 9 1302.2 0 9 200 12 1302.2 0 12 201 12 1302.2 0 12 202 20 1302.2 0 20 203 49 1302.2 0 49 204 87 1302.2 0 87 205 70 1302.2 0 70 206 29 1302.2 0 29 207 33 1302.2 0 33 208 14 1302.2 0 14 209 21 1302.2 0 21 210 22 1302.2 0 22 211 29 1302.2 0 29 212 151 1302.2 0 151 213 380 1302.2 0 380 214 500 1302.2 0 500 215 37 1302.2 0 37 216 40 1302.2 0 40 217 76 1302.2 0 76 218 79 1302.2 0 79 219 30 1302.2 0 30 220 31 1302.2 0 31 221 18 1302.2 0 18 222 20 1302.2 0 20 223 95 1302.2 0 95 224 21 1302.2 0 21 225 37 1302.2 0 37 226 30 1302.2 0 30 227 23 1302.2 0 23 228 27 1302.2 0 27 229 16 1302.2 0 16 230 9 1302.2 0 9 231 13 1302.2 0 13 232 24 1302.2 0 24 233 23 1302.2 0 23 234 18 1302.2 0 18 235 37 1302.2 0 37 236 50 1302.2 0 50 237 56 1302.2 0 56 238 82 1302.2 0 82 239 19 1302.2 0 19 240 5 1302.2 0 5 241 17 1302.2 0 17 242 13 1302.2 0 13 243 42 1302.2 0 42 244 43 1302.2 0 43 245 50 1302.2 0 50 246 20 1302.2 0 20 247 13 1302.2 0 13 248 19 1302.2 0 19 249 9 1302.2 0 9 250 26 1302.2 0 26 251 37 1302.2 0 37 252 21 1302.2 0 21 253 40 1302.2 0 40 254 53 1302.2 0 53 255 48 1302.2 0 48 256 50 1302.2 0 50 257 38 1302.2 0 38 258 40 1302.2 0 40 259 52 1302.2 0 52 260 74 1302.2 0 74 261 442 1302.2 0 442 262 295 1302.2 0 295 263 69 1302.2 0 69 264 44 1302.2 0 44 265 108 1302.2 0 108 266 27 1302.2 0 27 267 38 1302.2 0 38 268 29 1302.2 0 29 269 19 1302.2 0 19 270 14 1302.2 0 14 271 17 1302.2 0 17 272 23 1302.2 0 23 273 67 1302.2 0 67 274 33 1302.2 0 33 275 37 1302.2 0 37 276 95 1302.2 0 95 277 50 1302.2 0 50 278 48 1302.2 0 48 279 46 1302.2 0 46 280 67 1302.2 0 67 281 82 1302.2 0 82 282 90 1302.2 0 90 283 98 1302.2 0 98 284 100 1302.2 0 100 285 121 1302.2 0 121 286 907 1302.2 0 907 287 4926 1302.2 0 4926 288 3332 1302.2 0 3332 289 28 1302.2 0 28 290 43 1302.2 0 43 291 24 1302.2 0 24 292 28 1302.2 0 28 293 21 1302.2 0 21 294 22 1302.2 0 22 295 24 1302.2 0 24 296 23 1302.2 0 23 297 24 1302.2 0 24 298 54 1302.2 0 54 299 14 1302.2 0 14 300 22 1302.2 0 22 301 4 1302.2 0 4 Finished in 1.83 s (55 us/read; 1.09 M reads/minute). === Summary === Total reads processed: 33,351 Reads with adapters: 532 (1.6%) Reads that were too short: 43 (0.1%) Reads written (passing filters): 489 (1.5%) Total basepairs processed: 9,403,245 bp Total written (filtered): 132,930 bp (1.4%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 532 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 16 3 0.0 3 0 1 0 2 17 463 0.0 3 439 17 7 18 7 0.0 3 0 3 4 19 3 0.0 3 0 0 0 3 20 3 0.0 3 3 44 2 0.0 3 0 0 0 2 45 1 0.0 3 0 0 0 1 47 1 0.0 3 0 0 0 1 48 2 0.0 3 0 0 0 2 54 1 0.0 3 0 0 0 1 127 1 0.0 3 0 0 0 1 163 1 0.0 3 0 0 0 1 172 1 0.0 3 0 0 0 1 178 1 0.0 3 0 0 0 1 183 1 0.0 3 0 0 0 1 193 1 0.0 3 0 0 0 1 205 1 0.0 3 0 0 0 1 224 1 0.0 3 0 0 0 1 270 1 0.0 3 0 0 0 1 281 4 0.0 3 0 0 0 4 282 30 0.0 3 0 0 1 29 283 2 0.0 3 0 0 0 2 288 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 0.02 s (41 us/read; 1.47 M reads/minute). === Summary === Total reads processed: 489 Reads with adapters: 19 (3.9%) Reads written (passing filters): 489 (100.0%) Total basepairs processed: 132,930 bp Total written (filtered): 132,867 bp (100.0%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 19 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 36.8% C: 15.8% G: 10.5% T: 36.8% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 13 7.6 0 13 4 6 1.9 0 6