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 ... This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g ggactacnngggtatctaat -e 0.2 -O 20 - Trimming 1 adapter with at most 20.0% errors in single-end mode ... Finished in 164.54 s (31 us/read; 1.94 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 64,603 (1.2%) Reads that were too short: 24,938 (0.5%) Reads written (passing filters): 39,665 (0.7%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 11,403,528 bp (0.7%) === Adapter 1 === Sequence: TGTGGC; Type: regular 5'; Length: 6; Trimmed: 64603 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 1572 1302.2 0 1572 7 34446 1302.2 0 34446 8 53 1302.2 0 53 9 524 1302.2 0 524 10 14 1302.2 0 14 11 13 1302.2 0 13 12 14 1302.2 0 14 13 14 1302.2 0 14 14 12 1302.2 0 12 15 13 1302.2 0 13 16 13 1302.2 0 13 17 11 1302.2 0 11 18 11 1302.2 0 11 19 18 1302.2 0 18 20 14 1302.2 0 14 21 14 1302.2 0 14 22 11 1302.2 0 11 23 9 1302.2 0 9 24 13 1302.2 0 13 25 16 1302.2 0 16 26 13 1302.2 0 13 27 16 1302.2 0 16 28 10 1302.2 0 10 29 13 1302.2 0 13 30 18 1302.2 0 18 31 7 1302.2 0 7 32 22 1302.2 0 22 33 24 1302.2 0 24 34 16 1302.2 0 16 35 7 1302.2 0 7 36 15 1302.2 0 15 37 11 1302.2 0 11 38 12 1302.2 0 12 39 10 1302.2 0 10 40 22 1302.2 0 22 41 17 1302.2 0 17 42 18 1302.2 0 18 43 19 1302.2 0 19 44 16 1302.2 0 16 45 12 1302.2 0 12 46 10 1302.2 0 10 47 12 1302.2 0 12 48 11 1302.2 0 11 49 17 1302.2 0 17 50 94 1302.2 0 94 51 11 1302.2 0 11 52 577 1302.2 0 577 53 21 1302.2 0 21 54 11 1302.2 0 11 55 8 1302.2 0 8 56 7 1302.2 0 7 57 11 1302.2 0 11 58 17 1302.2 0 17 59 26 1302.2 0 26 60 17 1302.2 0 17 61 14 1302.2 0 14 62 13 1302.2 0 13 63 10 1302.2 0 10 64 17 1302.2 0 17 65 9 1302.2 0 9 66 9 1302.2 0 9 67 17 1302.2 0 17 68 16 1302.2 0 16 69 14 1302.2 0 14 70 19 1302.2 0 19 71 22 1302.2 0 22 72 4 1302.2 0 4 73 32 1302.2 0 32 74 7 1302.2 0 7 75 7 1302.2 0 7 76 9 1302.2 0 9 77 15 1302.2 0 15 78 11 1302.2 0 11 79 9 1302.2 0 9 80 16 1302.2 0 16 81 14 1302.2 0 14 82 15 1302.2 0 15 83 6 1302.2 0 6 84 9 1302.2 0 9 85 11 1302.2 0 11 86 5 1302.2 0 5 87 5 1302.2 0 5 88 8 1302.2 0 8 89 5 1302.2 0 5 90 9 1302.2 0 9 91 9 1302.2 0 9 92 11 1302.2 0 11 93 13 1302.2 0 13 94 4 1302.2 0 4 95 13 1302.2 0 13 96 8 1302.2 0 8 97 6 1302.2 0 6 98 8 1302.2 0 8 99 9 1302.2 0 9 100 11 1302.2 0 11 101 9 1302.2 0 9 102 6 1302.2 0 6 103 14 1302.2 0 14 104 16 1302.2 0 16 105 9 1302.2 0 9 106 10 1302.2 0 10 107 6 1302.2 0 6 108 11 1302.2 0 11 109 13 1302.2 0 13 110 11 1302.2 0 11 111 7 1302.2 0 7 112 6 1302.2 0 6 113 6 1302.2 0 6 114 4 1302.2 0 4 115 7 1302.2 0 7 116 9 1302.2 0 9 117 28 1302.2 0 28 118 18 1302.2 0 18 119 4 1302.2 0 4 120 21 1302.2 0 21 121 10 1302.2 0 10 122 8 1302.2 0 8 123 19 1302.2 0 19 124 9 1302.2 0 9 125 10 1302.2 0 10 126 18 1302.2 0 18 127 11 1302.2 0 11 128 9 1302.2 0 9 129 14 1302.2 0 14 130 35 1302.2 0 35 131 84 1302.2 0 84 132 46 1302.2 0 46 133 28 1302.2 0 28 134 10 1302.2 0 10 135 13 1302.2 0 13 136 11 1302.2 0 11 137 33 1302.2 0 33 138 35 1302.2 0 35 139 32 1302.2 0 32 140 9 1302.2 0 9 141 7 1302.2 0 7 142 15 1302.2 0 15 143 7 1302.2 0 7 144 11 1302.2 0 11 145 4 1302.2 0 4 146 10 1302.2 0 10 147 6 1302.2 0 6 148 7 1302.2 0 7 149 9 1302.2 0 9 150 10 1302.2 0 10 151 9 1302.2 0 9 152 24 1302.2 0 24 153 16 1302.2 0 16 154 2 1302.2 0 2 155 10 1302.2 0 10 156 6 1302.2 0 6 157 14 1302.2 0 14 158 7 1302.2 0 7 159 10 1302.2 0 10 160 8 1302.2 0 8 161 6 1302.2 0 6 162 12 1302.2 0 12 163 9 1302.2 0 9 164 10 1302.2 0 10 165 11 1302.2 0 11 166 8 1302.2 0 8 167 12 1302.2 0 12 168 10 1302.2 0 10 169 12 1302.2 0 12 170 9 1302.2 0 9 171 9 1302.2 0 9 172 4 1302.2 0 4 173 10 1302.2 0 10 174 7 1302.2 0 7 175 12 1302.2 0 12 176 6 1302.2 0 6 177 22 1302.2 0 22 178 6 1302.2 0 6 179 5 1302.2 0 5 180 6 1302.2 0 6 181 11 1302.2 0 11 182 5 1302.2 0 5 183 12 1302.2 0 12 184 13 1302.2 0 13 185 15 1302.2 0 15 186 7 1302.2 0 7 187 12 1302.2 0 12 188 10 1302.2 0 10 189 22 1302.2 0 22 190 15 1302.2 0 15 191 8 1302.2 0 8 192 10 1302.2 0 10 193 8 1302.2 0 8 194 11 1302.2 0 11 195 13 1302.2 0 13 196 11 1302.2 0 11 197 6 1302.2 0 6 198 8 1302.2 0 8 199 5 1302.2 0 5 200 8 1302.2 0 8 201 16 1302.2 0 16 202 11 1302.2 0 11 203 53 1302.2 0 53 204 64 1302.2 0 64 205 40 1302.2 0 40 206 25 1302.2 0 25 207 15 1302.2 0 15 208 10 1302.2 0 10 209 8 1302.2 0 8 210 11 1302.2 0 11 211 17 1302.2 0 17 212 137 1302.2 0 137 213 316 1302.2 0 316 214 463 1302.2 0 463 215 25 1302.2 0 25 216 10 1302.2 0 10 217 29 1302.2 0 29 218 59 1302.2 0 59 219 16 1302.2 0 16 220 20 1302.2 0 20 221 15 1302.2 0 15 222 12 1302.2 0 12 223 90 1302.2 0 90 224 13 1302.2 0 13 225 21 1302.2 0 21 226 17 1302.2 0 17 227 15 1302.2 0 15 228 17 1302.2 0 17 229 11 1302.2 0 11 230 6 1302.2 0 6 231 10 1302.2 0 10 232 8 1302.2 0 8 233 11 1302.2 0 11 234 19 1302.2 0 19 235 23 1302.2 0 23 236 28 1302.2 0 28 237 20 1302.2 0 20 238 39 1302.2 0 39 239 8 1302.2 0 8 240 4 1302.2 0 4 241 8 1302.2 0 8 242 10 1302.2 0 10 243 17 1302.2 0 17 244 20 1302.2 0 20 245 33 1302.2 0 33 246 24 1302.2 0 24 247 15 1302.2 0 15 248 9 1302.2 0 9 249 6 1302.2 0 6 250 10 1302.2 0 10 251 12 1302.2 0 12 252 19 1302.2 0 19 253 26 1302.2 0 26 254 27 1302.2 0 27 255 34 1302.2 0 34 256 40 1302.2 0 40 257 46 1302.2 0 46 258 51 1302.2 0 51 259 46 1302.2 0 46 260 97 1302.2 0 97 261 543 1302.2 0 543 262 462 1302.2 0 462 263 90 1302.2 0 90 264 43 1302.2 0 43 265 123 1302.2 0 123 266 34 1302.2 0 34 267 26 1302.2 0 26 268 23 1302.2 0 23 269 10 1302.2 0 10 270 19 1302.2 0 19 271 17 1302.2 0 17 272 37 1302.2 0 37 273 96 1302.2 0 96 274 35 1302.2 0 35 275 76 1302.2 0 76 276 187 1302.2 0 187 277 78 1302.2 0 78 278 41 1302.2 0 41 279 85 1302.2 0 85 280 97 1302.2 0 97 281 96 1302.2 0 96 282 116 1302.2 0 116 283 96 1302.2 0 96 284 181 1302.2 0 181 285 230 1302.2 0 230 286 1991 1302.2 0 1991 287 11267 1302.2 0 11267 288 6363 1302.2 0 6363 289 21 1302.2 0 21 290 10 1302.2 0 10 291 14 1302.2 0 14 292 16 1302.2 0 16 293 14 1302.2 0 14 294 6 1302.2 0 6 295 20 1302.2 0 20 296 20 1302.2 0 20 297 16 1302.2 0 16 298 32 1302.2 0 32 299 7 1302.2 0 7 300 26 1302.2 0 26 301 8 1302.2 0 8 Finished in 2.08 s (52 us/read; 1.14 M reads/minute). === Summary === Total reads processed: 39,665 Reads with adapters: 35,823 (90.3%) Reads that were too short: 0 (0.0%) Reads written (passing filters): 35,823 (90.3%) Total basepairs processed: 11,403,528 bp Total written (filtered): 9,817,295 bp (86.1%) === Adapter 1 === Sequence: GGACTACNNGGGTATCTAAT; Type: regular 5'; Length: 20; Trimmed: 35823 times. No. of allowed errors: 0-4 bp: 0; 5-9 bp: 1; 10-14 bp: 2; 15-19 bp: 3; 20 bp: 4 Overview of removed sequences length count expect max.err error counts 17 2 0.0 3 0 0 0 0 2 18 11 0.0 3 0 0 10 0 1 19 457 0.0 3 0 426 22 2 7 20 35225 0.0 4 34675 524 19 3 4 21 80 0.0 4 11 62 2 5 22 20 0.0 4 4 0 7 3 6 23 25 0.0 4 1 0 0 23 1 24 3 0.0 4 2 0 0 0 1 This is cutadapt 1.11 with Python 2.7.12 Command line parameters: -a CTGSTGCVYCCCRTAGG - Trimming 1 adapter with at most 10.0% errors in single-end mode ... Finished in 1.51 s (42 us/read; 1.42 M reads/minute). === Summary === Total reads processed: 35,823 Reads with adapters: 272 (0.8%) Reads written (passing filters): 35,823 (100.0%) Total basepairs processed: 9,817,295 bp Total written (filtered): 9,775,773 bp (99.6%) === Adapter 1 === Sequence: CTGSTGCVYCCCRTAGG; Type: regular 3'; Length: 17; Trimmed: 272 times. No. of allowed errors: 0-9 bp: 0; 10-17 bp: 1 Bases preceding removed adapters: A: 2.6% C: 1.1% G: 29.8% T: 65.8% none/other: 0.7% Overview of removed sequences length count expect max.err error counts 3 6 559.7 0 6 4 1 139.9 0 1 5 1 35.0 0 1 10 2 0.0 1 0 2 11 79 0.0 1 1 78 12 3 0.0 1 0 3 152 1 0.0 1 0 1 225 165 0.0 1 153 12 226 11 0.0 1 10 1 259 1 0.0 1 1 274 2 0.0 1 2