This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g TGGCGG -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 165.97 s (31 us/read; 1.93 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 69,140 (1.3%) Reads that were too short: 2,653 (0.0%) Reads written (passing filters): 66,487 (1.2%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 18,921,423 bp (1.2%) === Adapter 1 === Sequence: TGGCGG; Type: regular 5'; Length: 6; Trimmed: 69140 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 2353 1302.2 0 2353 7 21383 1302.2 0 21383 8 1804 1302.2 0 1804 9 34376 1302.2 0 34376 10 63 1302.2 0 63 11 64 1302.2 0 64 12 25 1302.2 0 25 13 34 1302.2 0 34 14 23 1302.2 0 23 15 25 1302.2 0 25 16 29 1302.2 0 29 17 37 1302.2 0 37 18 43 1302.2 0 43 19 34 1302.2 0 34 20 29 1302.2 0 29 21 26 1302.2 0 26 22 29 1302.2 0 29 23 22 1302.2 0 22 24 18 1302.2 0 18 25 24 1302.2 0 24 26 21 1302.2 0 21 27 21 1302.2 0 21 28 21 1302.2 0 21 29 29 1302.2 0 29 30 20 1302.2 0 20 31 21 1302.2 0 21 32 27 1302.2 0 27 33 23 1302.2 0 23 34 35 1302.2 0 35 35 18 1302.2 0 18 36 24 1302.2 0 24 37 26 1302.2 0 26 38 15 1302.2 0 15 39 30 1302.2 0 30 40 12 1302.2 0 12 41 26 1302.2 0 26 42 28 1302.2 0 28 43 23 1302.2 0 23 44 21 1302.2 0 21 45 21 1302.2 0 21 46 38 1302.2 0 38 47 76 1302.2 0 76 48 42 1302.2 0 42 49 114 1302.2 0 114 50 21 1302.2 0 21 51 704 1302.2 0 704 52 393 1302.2 0 393 53 36 1302.2 0 36 54 22 1302.2 0 22 55 27 1302.2 0 27 56 18 1302.2 0 18 57 21 1302.2 0 21 58 20 1302.2 0 20 59 22 1302.2 0 22 60 53 1302.2 0 53 61 81 1302.2 0 81 62 54 1302.2 0 54 63 25 1302.2 0 25 64 19 1302.2 0 19 65 18 1302.2 0 18 66 22 1302.2 0 22 67 15 1302.2 0 15 68 19 1302.2 0 19 69 21 1302.2 0 21 70 33 1302.2 0 33 71 15 1302.2 0 15 72 27 1302.2 0 27 73 27 1302.2 0 27 74 14 1302.2 0 14 75 21 1302.2 0 21 76 23 1302.2 0 23 77 17 1302.2 0 17 78 42 1302.2 0 42 79 54 1302.2 0 54 80 14 1302.2 0 14 81 22 1302.2 0 22 82 21 1302.2 0 21 83 16 1302.2 0 16 84 41 1302.2 0 41 85 57 1302.2 0 57 86 79 1302.2 0 79 87 54 1302.2 0 54 88 14 1302.2 0 14 89 15 1302.2 0 15 90 16 1302.2 0 16 91 25 1302.2 0 25 92 7 1302.2 0 7 93 18 1302.2 0 18 94 20 1302.2 0 20 95 12 1302.2 0 12 96 20 1302.2 0 20 97 20 1302.2 0 20 98 23 1302.2 0 23 99 16 1302.2 0 16 100 20 1302.2 0 20 101 21 1302.2 0 21 102 20 1302.2 0 20 103 7 1302.2 0 7 104 17 1302.2 0 17 105 12 1302.2 0 12 106 23 1302.2 0 23 107 17 1302.2 0 17 108 17 1302.2 0 17 109 22 1302.2 0 22 110 21 1302.2 0 21 111 16 1302.2 0 16 112 50 1302.2 0 50 113 140 1302.2 0 140 114 355 1302.2 0 355 115 12 1302.2 0 12 116 12 1302.2 0 12 117 14 1302.2 0 14 118 21 1302.2 0 21 119 25 1302.2 0 25 120 8 1302.2 0 8 121 17 1302.2 0 17 122 15 1302.2 0 15 123 10 1302.2 0 10 124 24 1302.2 0 24 125 17 1302.2 0 17 126 18 1302.2 0 18 127 28 1302.2 0 28 128 26 1302.2 0 26 129 42 1302.2 0 42 130 26 1302.2 0 26 131 44 1302.2 0 44 132 19 1302.2 0 19 133 43 1302.2 0 43 134 93 1302.2 0 93 135 30 1302.2 0 30 136 25 1302.2 0 25 137 23 1302.2 0 23 138 17 1302.2 0 17 139 24 1302.2 0 24 140 22 1302.2 0 22 141 132 1302.2 0 132 142 173 1302.2 0 173 143 58 1302.2 0 58 144 19 1302.2 0 19 145 22 1302.2 0 22 146 18 1302.2 0 18 147 30 1302.2 0 30 148 34 1302.2 0 34 149 28 1302.2 0 28 150 16 1302.2 0 16 151 17 1302.2 0 17 152 23 1302.2 0 23 153 62 1302.2 0 62 154 113 1302.2 0 113 155 22 1302.2 0 22 156 17 1302.2 0 17 157 15 1302.2 0 15 158 17 1302.2 0 17 159 18 1302.2 0 18 160 17 1302.2 0 17 161 16 1302.2 0 16 162 16 1302.2 0 16 163 19 1302.2 0 19 164 21 1302.2 0 21 165 22 1302.2 0 22 166 21 1302.2 0 21 167 15 1302.2 0 15 168 17 1302.2 0 17 169 20 1302.2 0 20 170 17 1302.2 0 17 171 21 1302.2 0 21 172 17 1302.2 0 17 173 16 1302.2 0 16 174 10 1302.2 0 10 175 19 1302.2 0 19 176 24 1302.2 0 24 177 9 1302.2 0 9 178 19 1302.2 0 19 179 12 1302.2 0 12 180 11 1302.2 0 11 181 21 1302.2 0 21 182 11 1302.2 0 11 183 22 1302.2 0 22 184 22 1302.2 0 22 185 20 1302.2 0 20 186 6 1302.2 0 6 187 19 1302.2 0 19 188 7 1302.2 0 7 189 7 1302.2 0 7 190 10 1302.2 0 10 191 18 1302.2 0 18 192 11 1302.2 0 11 193 30 1302.2 0 30 194 11 1302.2 0 11 195 12 1302.2 0 12 196 20 1302.2 0 20 197 11 1302.2 0 11 198 14 1302.2 0 14 199 18 1302.2 0 18 200 11 1302.2 0 11 201 13 1302.2 0 13 202 18 1302.2 0 18 203 9 1302.2 0 9 204 8 1302.2 0 8 205 9 1302.2 0 9 206 14 1302.2 0 14 207 23 1302.2 0 23 208 16 1302.2 0 16 209 15 1302.2 0 15 210 15 1302.2 0 15 211 11 1302.2 0 11 212 34 1302.2 0 34 213 15 1302.2 0 15 214 22 1302.2 0 22 215 18 1302.2 0 18 216 22 1302.2 0 22 217 27 1302.2 0 27 218 16 1302.2 0 16 219 15 1302.2 0 15 220 20 1302.2 0 20 221 15 1302.2 0 15 222 3 1302.2 0 3 223 9 1302.2 0 9 224 10 1302.2 0 10 225 9 1302.2 0 9 226 30 1302.2 0 30 227 16 1302.2 0 16 228 12 1302.2 0 12 229 11 1302.2 0 11 230 25 1302.2 0 25 231 15 1302.2 0 15 232 17 1302.2 0 17 233 14 1302.2 0 14 234 10 1302.2 0 10 235 8 1302.2 0 8 236 12 1302.2 0 12 237 36 1302.2 0 36 238 19 1302.2 0 19 239 18 1302.2 0 18 240 11 1302.2 0 11 241 7 1302.2 0 7 242 9 1302.2 0 9 243 7 1302.2 0 7 244 14 1302.2 0 14 245 16 1302.2 0 16 246 5 1302.2 0 5 247 7 1302.2 0 7 248 15 1302.2 0 15 249 10 1302.2 0 10 250 8 1302.2 0 8 251 15 1302.2 0 15 252 15 1302.2 0 15 253 14 1302.2 0 14 254 26 1302.2 0 26 255 49 1302.2 0 49 256 44 1302.2 0 44 257 52 1302.2 0 52 258 16 1302.2 0 16 259 11 1302.2 0 11 260 16 1302.2 0 16 261 32 1302.2 0 32 262 238 1302.2 0 238 263 13 1302.2 0 13 264 17 1302.2 0 17 265 11 1302.2 0 11 266 14 1302.2 0 14 267 8 1302.2 0 8 268 10 1302.2 0 10 269 6 1302.2 0 6 270 12 1302.2 0 12 271 4 1302.2 0 4 272 3 1302.2 0 3 273 42 1302.2 0 42 274 295 1302.2 0 295 275 37 1302.2 0 37 276 21 1302.2 0 21 277 12 1302.2 0 12 278 7 1302.2 0 7 279 11 1302.2 0 11 280 11 1302.2 0 11 281 11 1302.2 0 11 282 24 1302.2 0 24 283 8 1302.2 0 8 284 10 1302.2 0 10 285 25 1302.2 0 25 286 15 1302.2 0 15 287 16 1302.2 0 16 288 21 1302.2 0 21 289 9 1302.2 0 9 290 14 1302.2 0 14 291 11 1302.2 0 11 292 54 1302.2 0 54 293 35 1302.2 0 35 294 10 1302.2 0 10 295 7 1302.2 0 7 296 5 1302.2 0 5 297 6 1302.2 0 6 298 14 1302.2 0 14 299 169 1302.2 0 169 300 388 1302.2 0 388 301 14 1302.2 0 14 Finished in 4.05 s (61 us/read; 0.98 M reads/minute). === Summary === Total reads processed: 66,487 Reads with adapters: 21,349 (32.1%) Reads that were too short: 0 (0.0%) Reads written (passing filters): 21,349 (32.1%) Total basepairs processed: 18,921,423 bp Total written (filtered): 5,851,007 bp (30.9%) === Adapter 1 === Sequence: GGACTACNNGGGTATCTAAT; Type: regular 5'; Length: 20; Trimmed: 21349 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 1 0.0 3 0 0 0 0 1 18 14 0.0 3 0 0 14 19 321 0.0 3 0 304 13 0 4 20 20816 0.0 4 20407 396 10 1 2 21 61 0.0 4 18 32 0 9 2 22 113 0.0 4 99 4 5 0 5 23 17 0.0 4 0 0 1 14 2 24 2 0.0 4 0 0 0 0 2 25 1 0.0 4 0 0 1 35 1 0.0 4 1 129 1 0.0 4 0 0 0 0 1 187 1 0.0 4 0 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 0.89 s (42 us/read; 1.44 M reads/minute). === Summary === Total reads processed: 21,349 Reads with adapters: 128 (0.6%) Reads written (passing filters): 21,349 (100.0%) Total basepairs processed: 5,851,007 bp Total written (filtered): 5,845,865 bp (99.9%) === Adapter 1 === Sequence: CTGSTGCVYCCCRTAGG; Type: regular 3'; Length: 17; Trimmed: 128 times. No. of allowed errors: 0-9 bp: 0; 10-17 bp: 1 Bases preceding removed adapters: A: 6.2% C: 11.7% G: 78.9% T: 3.1% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 6 333.6 0 6 4 1 83.4 0 1 5 1 20.8 0 1 11 99 0.0 1 0 99 12 4 0.0 1 1 3 225 12 0.0 1 12 226 1 0.0 1 1 261 3 0.0 1 2 1 269 1 0.0 1 1