This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g GCTCCG -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 164.58 s (31 us/read; 1.94 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 29,517 (0.6%) Reads that were too short: 3,867 (0.1%) Reads written (passing filters): 25,650 (0.5%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 5,373,142 bp (0.3%) === Adapter 1 === Sequence: GCTCCG; Type: regular 5'; Length: 6; Trimmed: 29517 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 253 1302.2 0 253 7 8140 1302.2 0 8140 8 62 1302.2 0 62 9 710 1302.2 0 710 10 19 1302.2 0 19 11 20 1302.2 0 20 12 16 1302.2 0 16 13 15 1302.2 0 15 14 10 1302.2 0 10 15 91 1302.2 0 91 16 61 1302.2 0 61 17 19 1302.2 0 19 18 12 1302.2 0 12 19 15 1302.2 0 15 20 5 1302.2 0 5 21 12 1302.2 0 12 22 13 1302.2 0 13 23 8 1302.2 0 8 24 13 1302.2 0 13 25 9 1302.2 0 9 26 11 1302.2 0 11 27 15 1302.2 0 15 28 12 1302.2 0 12 29 8 1302.2 0 8 30 15 1302.2 0 15 31 16 1302.2 0 16 32 17 1302.2 0 17 33 11 1302.2 0 11 34 10 1302.2 0 10 35 10 1302.2 0 10 36 17 1302.2 0 17 37 9 1302.2 0 9 38 17 1302.2 0 17 39 18 1302.2 0 18 40 338 1302.2 0 338 41 36 1302.2 0 36 42 34 1302.2 0 34 43 14 1302.2 0 14 44 21 1302.2 0 21 45 19 1302.2 0 19 46 24 1302.2 0 24 47 18 1302.2 0 18 48 7 1302.2 0 7 49 527 1302.2 0 527 50 12 1302.2 0 12 51 15 1302.2 0 15 52 8 1302.2 0 8 53 16 1302.2 0 16 54 6 1302.2 0 6 55 40 1302.2 0 40 56 15 1302.2 0 15 57 13 1302.2 0 13 58 16 1302.2 0 16 59 5 1302.2 0 5 60 13 1302.2 0 13 61 10 1302.2 0 10 62 9 1302.2 0 9 63 14 1302.2 0 14 64 7 1302.2 0 7 65 17 1302.2 0 17 66 12 1302.2 0 12 67 12 1302.2 0 12 68 23 1302.2 0 23 69 12 1302.2 0 12 70 7 1302.2 0 7 71 3 1302.2 0 3 72 10 1302.2 0 10 73 7 1302.2 0 7 74 8 1302.2 0 8 75 10 1302.2 0 10 76 6 1302.2 0 6 77 13 1302.2 0 13 78 10 1302.2 0 10 79 23 1302.2 0 23 80 31 1302.2 0 31 81 14 1302.2 0 14 82 64 1302.2 0 64 83 23 1302.2 0 23 84 75 1302.2 0 75 85 24 1302.2 0 24 86 13 1302.2 0 13 87 30 1302.2 0 30 88 34 1302.2 0 34 89 44 1302.2 0 44 90 31 1302.2 0 31 91 54 1302.2 0 54 92 50 1302.2 0 50 93 54 1302.2 0 54 94 15 1302.2 0 15 95 20 1302.2 0 20 96 5 1302.2 0 5 97 18 1302.2 0 18 98 13 1302.2 0 13 99 7 1302.2 0 7 100 12 1302.2 0 12 101 12 1302.2 0 12 102 15 1302.2 0 15 103 12 1302.2 0 12 104 14 1302.2 0 14 105 22 1302.2 0 22 106 46 1302.2 0 46 107 68 1302.2 0 68 108 10 1302.2 0 10 109 13 1302.2 0 13 110 12 1302.2 0 12 111 16 1302.2 0 16 112 9 1302.2 0 9 113 19 1302.2 0 19 114 105 1302.2 0 105 115 120 1302.2 0 120 116 156 1302.2 0 156 117 43 1302.2 0 43 118 36 1302.2 0 36 119 30 1302.2 0 30 120 29 1302.2 0 29 121 33 1302.2 0 33 122 20 1302.2 0 20 123 32 1302.2 0 32 124 26 1302.2 0 26 125 28 1302.2 0 28 126 18 1302.2 0 18 127 30 1302.2 0 30 128 39 1302.2 0 39 129 69 1302.2 0 69 130 49 1302.2 0 49 131 48 1302.2 0 48 132 51 1302.2 0 51 133 45 1302.2 0 45 134 86 1302.2 0 86 135 36 1302.2 0 36 136 33 1302.2 0 33 137 67 1302.2 0 67 138 58 1302.2 0 58 139 38 1302.2 0 38 140 63 1302.2 0 63 141 60 1302.2 0 60 142 44 1302.2 0 44 143 64 1302.2 0 64 144 83 1302.2 0 83 145 72 1302.2 0 72 146 115 1302.2 0 115 147 1320 1302.2 0 1320 148 2501 1302.2 0 2501 149 4311 1302.2 0 4311 150 83 1302.2 0 83 151 18 1302.2 0 18 152 31 1302.2 0 31 153 27 1302.2 0 27 154 99 1302.2 0 99 155 55 1302.2 0 55 156 65 1302.2 0 65 157 33 1302.2 0 33 158 31 1302.2 0 31 159 40 1302.2 0 40 160 32 1302.2 0 32 161 32 1302.2 0 32 162 34 1302.2 0 34 163 43 1302.2 0 43 164 78 1302.2 0 78 165 50 1302.2 0 50 166 39 1302.2 0 39 167 29 1302.2 0 29 168 127 1302.2 0 127 169 48 1302.2 0 48 170 56 1302.2 0 56 171 67 1302.2 0 67 172 48 1302.2 0 48 173 62 1302.2 0 62 174 136 1302.2 0 136 175 46 1302.2 0 46 176 12 1302.2 0 12 177 20 1302.2 0 20 178 20 1302.2 0 20 179 28 1302.2 0 28 180 40 1302.2 0 40 181 29 1302.2 0 29 182 42 1302.2 0 42 183 65 1302.2 0 65 184 72 1302.2 0 72 185 28 1302.2 0 28 186 44 1302.2 0 44 187 38 1302.2 0 38 188 471 1302.2 0 471 189 71 1302.2 0 71 190 171 1302.2 0 171 191 20 1302.2 0 20 192 34 1302.2 0 34 193 16 1302.2 0 16 194 28 1302.2 0 28 195 27 1302.2 0 27 196 37 1302.2 0 37 197 36 1302.2 0 36 198 45 1302.2 0 45 199 83 1302.2 0 83 200 113 1302.2 0 113 201 695 1302.2 0 695 202 245 1302.2 0 245 203 928 1302.2 0 928 204 75 1302.2 0 75 205 25 1302.2 0 25 206 28 1302.2 0 28 207 19 1302.2 0 19 208 13 1302.2 0 13 209 17 1302.2 0 17 210 13 1302.2 0 13 211 15 1302.2 0 15 212 16 1302.2 0 16 213 11 1302.2 0 11 214 21 1302.2 0 21 215 48 1302.2 0 48 216 22 1302.2 0 22 217 46 1302.2 0 46 218 14 1302.2 0 14 219 14 1302.2 0 14 220 9 1302.2 0 9 221 8 1302.2 0 8 222 16 1302.2 0 16 223 33 1302.2 0 33 224 34 1302.2 0 34 225 140 1302.2 0 140 226 94 1302.2 0 94 227 44 1302.2 0 44 228 75 1302.2 0 75 229 30 1302.2 0 30 230 34 1302.2 0 34 231 18 1302.2 0 18 232 13 1302.2 0 13 233 7 1302.2 0 7 234 18 1302.2 0 18 235 11 1302.2 0 11 236 13 1302.2 0 13 237 7 1302.2 0 7 238 23 1302.2 0 23 239 13 1302.2 0 13 240 3 1302.2 0 3 241 17 1302.2 0 17 242 15 1302.2 0 15 243 23 1302.2 0 23 244 35 1302.2 0 35 245 35 1302.2 0 35 246 20 1302.2 0 20 247 10 1302.2 0 10 248 11 1302.2 0 11 249 19 1302.2 0 19 250 17 1302.2 0 17 251 17 1302.2 0 17 252 53 1302.2 0 53 253 120 1302.2 0 120 254 94 1302.2 0 94 255 69 1302.2 0 69 256 26 1302.2 0 26 257 12 1302.2 0 12 258 32 1302.2 0 32 259 32 1302.2 0 32 260 28 1302.2 0 28 261 15 1302.2 0 15 262 14 1302.2 0 14 263 9 1302.2 0 9 264 25 1302.2 0 25 265 28 1302.2 0 28 266 22 1302.2 0 22 267 16 1302.2 0 16 268 13 1302.2 0 13 269 32 1302.2 0 32 270 12 1302.2 0 12 271 40 1302.2 0 40 272 13 1302.2 0 13 273 8 1302.2 0 8 274 16 1302.2 0 16 275 20 1302.2 0 20 276 29 1302.2 0 29 277 16 1302.2 0 16 278 34 1302.2 0 34 279 16 1302.2 0 16 280 32 1302.2 0 32 281 38 1302.2 0 38 282 48 1302.2 0 48 283 34 1302.2 0 34 284 16 1302.2 0 16 285 12 1302.2 0 12 286 11 1302.2 0 11 287 18 1302.2 0 18 288 47 1302.2 0 47 289 82 1302.2 0 82 290 14 1302.2 0 14 291 21 1302.2 0 21 292 17 1302.2 0 17 293 43 1302.2 0 43 294 40 1302.2 0 40 295 22 1302.2 0 22 296 26 1302.2 0 26 297 10 1302.2 0 10 298 3 1302.2 0 3 299 4 1302.2 0 4 300 47 1302.2 0 47 301 6 1302.2 0 6 Finished in 1.19 s (46 us/read; 1.29 M reads/minute). === Summary === Total reads processed: 25,650 Reads with adapters: 2,957 (11.5%) Reads that were too short: 8 (0.0%) Reads written (passing filters): 2,949 (11.5%) Total basepairs processed: 5,373,142 bp Total written (filtered): 811,991 bp (15.1%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 2957 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 3 0.0 3 0 0 0 3 16 50 0.0 3 0 23 1 26 17 2687 0.0 3 2573 94 14 6 18 88 0.0 3 2 10 72 4 19 96 0.0 3 1 1 6 88 20 3 0.0 3 0 0 0 3 22 1 0.0 3 0 0 0 1 45 8 0.0 3 0 0 0 8 46 1 0.0 3 0 0 0 1 52 1 0.0 3 0 0 0 1 57 6 0.0 3 0 0 0 6 59 1 0.0 3 0 0 0 1 70 1 0.0 3 0 0 1 79 2 0.0 3 0 0 0 2 87 2 0.0 3 0 0 0 2 133 1 0.0 3 0 0 0 1 223 1 0.0 3 0 0 0 1 271 1 0.0 3 0 0 0 1 281 1 0.0 3 0 0 0 1 283 1 0.0 3 0 0 0 1 284 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 0.14 s (47 us/read; 1.26 M reads/minute). === Summary === Total reads processed: 2,949 Reads with adapters: 203 (6.9%) Reads written (passing filters): 2,949 (100.0%) Total basepairs processed: 811,991 bp Total written (filtered): 811,378 bp (99.9%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 203 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 32.5% C: 44.8% G: 7.9% T: 14.8% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 199 46.1 0 199 4 4 11.5 0 4