This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g GTTGCC -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 162.44 s (30 us/read; 1.97 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 11,194 (0.2%) Reads that were too short: 2,788 (0.1%) Reads written (passing filters): 8,406 (0.2%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 1,895,125 bp (0.1%) === Adapter 1 === Sequence: GTTGCC; Type: regular 5'; Length: 6; Trimmed: 11194 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 47 1302.2 0 47 7 2246 1302.2 0 2246 8 205 1302.2 0 205 9 20 1302.2 0 20 10 10 1302.2 0 10 11 12 1302.2 0 12 12 17 1302.2 0 17 13 14 1302.2 0 14 14 21 1302.2 0 21 15 16 1302.2 0 16 16 16 1302.2 0 16 17 18 1302.2 0 18 18 16 1302.2 0 16 19 17 1302.2 0 17 20 18 1302.2 0 18 21 19 1302.2 0 19 22 13 1302.2 0 13 23 23 1302.2 0 23 24 11 1302.2 0 11 25 15 1302.2 0 15 26 17 1302.2 0 17 27 8 1302.2 0 8 28 11 1302.2 0 11 29 15 1302.2 0 15 30 23 1302.2 0 23 31 11 1302.2 0 11 32 13 1302.2 0 13 33 11 1302.2 0 11 34 4 1302.2 0 4 35 14 1302.2 0 14 36 23 1302.2 0 23 37 9 1302.2 0 9 38 17 1302.2 0 17 39 12 1302.2 0 12 40 16 1302.2 0 16 41 11 1302.2 0 11 42 11 1302.2 0 11 43 19 1302.2 0 19 44 18 1302.2 0 18 45 12 1302.2 0 12 46 15 1302.2 0 15 47 15 1302.2 0 15 48 10 1302.2 0 10 49 39 1302.2 0 39 50 283 1302.2 0 283 51 56 1302.2 0 56 52 13 1302.2 0 13 53 19 1302.2 0 19 54 10 1302.2 0 10 55 20 1302.2 0 20 56 19 1302.2 0 19 57 13 1302.2 0 13 58 7 1302.2 0 7 59 10 1302.2 0 10 60 23 1302.2 0 23 61 16 1302.2 0 16 62 14 1302.2 0 14 63 13 1302.2 0 13 64 10 1302.2 0 10 65 47 1302.2 0 47 66 20 1302.2 0 20 67 14 1302.2 0 14 68 20 1302.2 0 20 69 44 1302.2 0 44 70 21 1302.2 0 21 71 34 1302.2 0 34 72 218 1302.2 0 218 73 216 1302.2 0 216 74 269 1302.2 0 269 75 17 1302.2 0 17 76 8 1302.2 0 8 77 13 1302.2 0 13 78 12 1302.2 0 12 79 12 1302.2 0 12 80 21 1302.2 0 21 81 69 1302.2 0 69 82 27 1302.2 0 27 83 149 1302.2 0 149 84 370 1302.2 0 370 85 80 1302.2 0 80 86 94 1302.2 0 94 87 17 1302.2 0 17 88 10 1302.2 0 10 89 15 1302.2 0 15 90 8 1302.2 0 8 91 7 1302.2 0 7 92 7 1302.2 0 7 93 8 1302.2 0 8 94 18 1302.2 0 18 95 14 1302.2 0 14 96 12 1302.2 0 12 97 14 1302.2 0 14 98 11 1302.2 0 11 99 15 1302.2 0 15 100 22 1302.2 0 22 101 21 1302.2 0 21 102 26 1302.2 0 26 103 9 1302.2 0 9 104 5 1302.2 0 5 105 8 1302.2 0 8 106 8 1302.2 0 8 107 22 1302.2 0 22 108 34 1302.2 0 34 109 105 1302.2 0 105 110 130 1302.2 0 130 111 223 1302.2 0 223 112 74 1302.2 0 74 113 16 1302.2 0 16 114 9 1302.2 0 9 115 10 1302.2 0 10 116 9 1302.2 0 9 117 8 1302.2 0 8 118 10 1302.2 0 10 119 12 1302.2 0 12 120 14 1302.2 0 14 121 19 1302.2 0 19 122 23 1302.2 0 23 123 9 1302.2 0 9 124 15 1302.2 0 15 125 19 1302.2 0 19 126 13 1302.2 0 13 127 37 1302.2 0 37 128 6 1302.2 0 6 129 15 1302.2 0 15 130 9 1302.2 0 9 131 26 1302.2 0 26 132 21 1302.2 0 21 133 19 1302.2 0 19 134 24 1302.2 0 24 135 29 1302.2 0 29 136 20 1302.2 0 20 137 34 1302.2 0 34 138 37 1302.2 0 37 139 31 1302.2 0 31 140 13 1302.2 0 13 141 8 1302.2 0 8 142 12 1302.2 0 12 143 12 1302.2 0 12 144 9 1302.2 0 9 145 15 1302.2 0 15 146 20 1302.2 0 20 147 23 1302.2 0 23 148 151 1302.2 0 151 149 13 1302.2 0 13 150 67 1302.2 0 67 151 17 1302.2 0 17 152 8 1302.2 0 8 153 13 1302.2 0 13 154 12 1302.2 0 12 155 3 1302.2 0 3 156 6 1302.2 0 6 157 29 1302.2 0 29 158 39 1302.2 0 39 159 23 1302.2 0 23 160 17 1302.2 0 17 161 14 1302.2 0 14 162 13 1302.2 0 13 163 11 1302.2 0 11 164 15 1302.2 0 15 165 18 1302.2 0 18 166 13 1302.2 0 13 167 18 1302.2 0 18 168 88 1302.2 0 88 169 51 1302.2 0 51 170 77 1302.2 0 77 171 31 1302.2 0 31 172 17 1302.2 0 17 173 10 1302.2 0 10 174 16 1302.2 0 16 175 12 1302.2 0 12 176 57 1302.2 0 57 177 47 1302.2 0 47 178 43 1302.2 0 43 179 9 1302.2 0 9 180 10 1302.2 0 10 181 19 1302.2 0 19 182 37 1302.2 0 37 183 33 1302.2 0 33 184 96 1302.2 0 96 185 14 1302.2 0 14 186 21 1302.2 0 21 187 20 1302.2 0 20 188 15 1302.2 0 15 189 18 1302.2 0 18 190 19 1302.2 0 19 191 15 1302.2 0 15 192 11 1302.2 0 11 193 13 1302.2 0 13 194 21 1302.2 0 21 195 24 1302.2 0 24 196 24 1302.2 0 24 197 31 1302.2 0 31 198 38 1302.2 0 38 199 44 1302.2 0 44 200 36 1302.2 0 36 201 11 1302.2 0 11 202 11 1302.2 0 11 203 28 1302.2 0 28 204 87 1302.2 0 87 205 78 1302.2 0 78 206 62 1302.2 0 62 207 13 1302.2 0 13 208 12 1302.2 0 12 209 17 1302.2 0 17 210 36 1302.2 0 36 211 30 1302.2 0 30 212 36 1302.2 0 36 213 123 1302.2 0 123 214 278 1302.2 0 278 215 293 1302.2 0 293 216 40 1302.2 0 40 217 22 1302.2 0 22 218 37 1302.2 0 37 219 30 1302.2 0 30 220 11 1302.2 0 11 221 12 1302.2 0 12 222 23 1302.2 0 23 223 49 1302.2 0 49 224 161 1302.2 0 161 225 53 1302.2 0 53 226 22 1302.2 0 22 227 21 1302.2 0 21 228 23 1302.2 0 23 229 15 1302.2 0 15 230 10 1302.2 0 10 231 7 1302.2 0 7 232 9 1302.2 0 9 233 13 1302.2 0 13 234 17 1302.2 0 17 235 15 1302.2 0 15 236 31 1302.2 0 31 237 102 1302.2 0 102 238 15 1302.2 0 15 239 11 1302.2 0 11 240 10 1302.2 0 10 241 6 1302.2 0 6 242 6 1302.2 0 6 243 15 1302.2 0 15 244 18 1302.2 0 18 245 19 1302.2 0 19 246 23 1302.2 0 23 247 10 1302.2 0 10 248 14 1302.2 0 14 249 13 1302.2 0 13 250 13 1302.2 0 13 251 16 1302.2 0 16 252 23 1302.2 0 23 253 24 1302.2 0 24 254 32 1302.2 0 32 255 21 1302.2 0 21 256 12 1302.2 0 12 257 27 1302.2 0 27 258 30 1302.2 0 30 259 26 1302.2 0 26 260 37 1302.2 0 37 261 22 1302.2 0 22 262 15 1302.2 0 15 263 22 1302.2 0 22 264 29 1302.2 0 29 265 14 1302.2 0 14 266 17 1302.2 0 17 267 4 1302.2 0 4 268 6 1302.2 0 6 269 4 1302.2 0 4 270 15 1302.2 0 15 271 17 1302.2 0 17 272 22 1302.2 0 22 273 23 1302.2 0 23 274 11 1302.2 0 11 275 17 1302.2 0 17 276 13 1302.2 0 13 277 14 1302.2 0 14 278 11 1302.2 0 11 279 13 1302.2 0 13 280 6 1302.2 0 6 281 11 1302.2 0 11 282 12 1302.2 0 12 283 18 1302.2 0 18 284 19 1302.2 0 19 285 21 1302.2 0 21 286 12 1302.2 0 12 287 18 1302.2 0 18 288 9 1302.2 0 9 289 11 1302.2 0 11 290 9 1302.2 0 9 291 3 1302.2 0 3 292 3 1302.2 0 3 293 4 1302.2 0 4 294 6 1302.2 0 6 295 3 1302.2 0 3 296 3 1302.2 0 3 297 9 1302.2 0 9 298 19 1302.2 0 19 299 23 1302.2 0 23 300 17 1302.2 0 17 301 15 1302.2 0 15 Finished in 0.41 s (49 us/read; 1.23 M reads/minute). === Summary === Total reads processed: 8,406 Reads with adapters: 2,088 (24.8%) Reads that were too short: 1 (0.0%) Reads written (passing filters): 2,087 (24.8%) Total basepairs processed: 1,895,125 bp Total written (filtered): 577,806 bp (30.5%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 2088 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 29 0.0 3 0 26 2 1 17 2041 0.0 3 1995 44 2 18 10 0.0 3 0 7 3 19 3 0.0 3 0 0 0 3 20 2 0.0 3 0 0 0 2 116 1 0.0 3 0 0 0 1 128 1 0.0 3 0 0 0 1 193 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 0.09 s (43 us/read; 1.39 M reads/minute). === Summary === Total reads processed: 2,087 Reads with adapters: 35 (1.7%) Reads written (passing filters): 2,087 (100.0%) Total basepairs processed: 577,806 bp Total written (filtered): 577,701 bp (100.0%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 35 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 20.0% C: 54.3% G: 25.7% T: 0.0% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 35 32.6 0 35