This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g GGTTCT -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 162.07 s (30 us/read; 1.97 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 30,401 (0.6%) Reads that were too short: 2,752 (0.1%) Reads written (passing filters): 27,649 (0.5%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 7,393,474 bp (0.5%) === Adapter 1 === Sequence: GGTTCT; Type: regular 5'; Length: 6; Trimmed: 30401 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 766 1302.2 0 766 7 19069 1302.2 0 19069 8 51 1302.2 0 51 9 130 1302.2 0 130 10 23 1302.2 0 23 11 7 1302.2 0 7 12 2 1302.2 0 2 13 14 1302.2 0 14 14 3 1302.2 0 3 15 8 1302.2 0 8 16 14 1302.2 0 14 17 16 1302.2 0 16 18 8 1302.2 0 8 19 12 1302.2 0 12 20 19 1302.2 0 19 21 23 1302.2 0 23 22 31 1302.2 0 31 23 344 1302.2 0 344 24 90 1302.2 0 90 25 369 1302.2 0 369 26 10 1302.2 0 10 27 5 1302.2 0 5 28 14 1302.2 0 14 29 11 1302.2 0 11 30 11 1302.2 0 11 31 5 1302.2 0 5 32 3 1302.2 0 3 33 10 1302.2 0 10 34 8 1302.2 0 8 35 14 1302.2 0 14 36 7 1302.2 0 7 37 23 1302.2 0 23 38 29 1302.2 0 29 39 13 1302.2 0 13 40 14 1302.2 0 14 41 15 1302.2 0 15 42 25 1302.2 0 25 43 19 1302.2 0 19 44 6 1302.2 0 6 45 8 1302.2 0 8 46 7 1302.2 0 7 47 6 1302.2 0 6 48 3 1302.2 0 3 49 4 1302.2 0 4 50 9 1302.2 0 9 51 6 1302.2 0 6 52 12 1302.2 0 12 53 4 1302.2 0 4 54 7 1302.2 0 7 55 18 1302.2 0 18 56 11 1302.2 0 11 57 65 1302.2 0 65 58 5 1302.2 0 5 59 5 1302.2 0 5 60 9 1302.2 0 9 61 5 1302.2 0 5 62 6 1302.2 0 6 63 6 1302.2 0 6 64 2 1302.2 0 2 65 7 1302.2 0 7 66 6 1302.2 0 6 67 8 1302.2 0 8 68 10 1302.2 0 10 69 11 1302.2 0 11 70 7 1302.2 0 7 71 12 1302.2 0 12 72 10 1302.2 0 10 73 39 1302.2 0 39 74 15 1302.2 0 15 75 10 1302.2 0 10 76 7 1302.2 0 7 77 3 1302.2 0 3 78 13 1302.2 0 13 79 1 1302.2 0 1 80 11 1302.2 0 11 81 12 1302.2 0 12 82 7 1302.2 0 7 83 16 1302.2 0 16 84 19 1302.2 0 19 85 32 1302.2 0 32 86 18 1302.2 0 18 87 14 1302.2 0 14 88 183 1302.2 0 183 89 254 1302.2 0 254 90 496 1302.2 0 496 91 8 1302.2 0 8 92 5 1302.2 0 5 93 5 1302.2 0 5 94 7 1302.2 0 7 95 17 1302.2 0 17 96 63 1302.2 0 63 97 113 1302.2 0 113 98 34 1302.2 0 34 99 17 1302.2 0 17 100 54 1302.2 0 54 101 544 1302.2 0 544 102 43 1302.2 0 43 103 113 1302.2 0 113 104 8 1302.2 0 8 105 8 1302.2 0 8 106 1 1302.2 0 1 107 7 1302.2 0 7 108 1 1302.2 0 1 109 6 1302.2 0 6 110 5 1302.2 0 5 111 15 1302.2 0 15 112 3 1302.2 0 3 113 11 1302.2 0 11 114 24 1302.2 0 24 115 5 1302.2 0 5 116 5 1302.2 0 5 117 19 1302.2 0 19 118 23 1302.2 0 23 119 16 1302.2 0 16 120 17 1302.2 0 17 121 24 1302.2 0 24 122 42 1302.2 0 42 123 31 1302.2 0 31 124 36 1302.2 0 36 125 35 1302.2 0 35 126 61 1302.2 0 61 127 1416 1302.2 0 1416 128 505 1302.2 0 505 129 694 1302.2 0 694 130 9 1302.2 0 9 131 6 1302.2 0 6 132 12 1302.2 0 12 133 18 1302.2 0 18 134 54 1302.2 0 54 135 13 1302.2 0 13 136 16 1302.2 0 16 137 9 1302.2 0 9 138 20 1302.2 0 20 139 9 1302.2 0 9 140 7 1302.2 0 7 141 21 1302.2 0 21 142 10 1302.2 0 10 143 13 1302.2 0 13 144 20 1302.2 0 20 145 10 1302.2 0 10 146 15 1302.2 0 15 147 16 1302.2 0 16 148 45 1302.2 0 45 149 8 1302.2 0 8 150 4 1302.2 0 4 151 8 1302.2 0 8 152 6 1302.2 0 6 153 5 1302.2 0 5 154 6 1302.2 0 6 155 12 1302.2 0 12 156 9 1302.2 0 9 157 11 1302.2 0 11 158 13 1302.2 0 13 159 11 1302.2 0 11 160 9 1302.2 0 9 161 12 1302.2 0 12 162 7 1302.2 0 7 163 5 1302.2 0 5 164 8 1302.2 0 8 165 7 1302.2 0 7 166 11 1302.2 0 11 167 18 1302.2 0 18 168 13 1302.2 0 13 169 4 1302.2 0 4 170 11 1302.2 0 11 171 6 1302.2 0 6 172 8 1302.2 0 8 173 7 1302.2 0 7 174 18 1302.2 0 18 175 7 1302.2 0 7 176 16 1302.2 0 16 177 8 1302.2 0 8 178 14 1302.2 0 14 179 7 1302.2 0 7 180 8 1302.2 0 8 181 16 1302.2 0 16 182 18 1302.2 0 18 183 15 1302.2 0 15 184 17 1302.2 0 17 185 8 1302.2 0 8 186 13 1302.2 0 13 187 11 1302.2 0 11 188 10 1302.2 0 10 189 15 1302.2 0 15 190 8 1302.2 0 8 191 6 1302.2 0 6 192 9 1302.2 0 9 193 20 1302.2 0 20 194 34 1302.2 0 34 195 48 1302.2 0 48 196 35 1302.2 0 35 197 13 1302.2 0 13 198 7 1302.2 0 7 199 7 1302.2 0 7 200 4 1302.2 0 4 201 14 1302.2 0 14 202 10 1302.2 0 10 203 12 1302.2 0 12 204 6 1302.2 0 6 205 27 1302.2 0 27 206 29 1302.2 0 29 207 31 1302.2 0 31 208 17 1302.2 0 17 209 20 1302.2 0 20 210 13 1302.2 0 13 211 10 1302.2 0 10 212 12 1302.2 0 12 213 30 1302.2 0 30 214 53 1302.2 0 53 215 77 1302.2 0 77 216 21 1302.2 0 21 217 45 1302.2 0 45 218 23 1302.2 0 23 219 8 1302.2 0 8 220 9 1302.2 0 9 221 7 1302.2 0 7 222 9 1302.2 0 9 223 9 1302.2 0 9 224 26 1302.2 0 26 225 101 1302.2 0 101 226 25 1302.2 0 25 227 16 1302.2 0 16 228 20 1302.2 0 20 229 11 1302.2 0 11 230 13 1302.2 0 13 231 8 1302.2 0 8 232 6 1302.2 0 6 233 10 1302.2 0 10 234 11 1302.2 0 11 235 146 1302.2 0 146 236 101 1302.2 0 101 237 138 1302.2 0 138 238 7 1302.2 0 7 239 15 1302.2 0 15 240 13 1302.2 0 13 241 19 1302.2 0 19 242 9 1302.2 0 9 243 18 1302.2 0 18 244 20 1302.2 0 20 245 20 1302.2 0 20 246 16 1302.2 0 16 247 8 1302.2 0 8 248 11 1302.2 0 11 249 14 1302.2 0 14 250 10 1302.2 0 10 251 11 1302.2 0 11 252 5 1302.2 0 5 253 25 1302.2 0 25 254 35 1302.2 0 35 255 47 1302.2 0 47 256 8 1302.2 0 8 257 13 1302.2 0 13 258 24 1302.2 0 24 259 41 1302.2 0 41 260 201 1302.2 0 201 261 290 1302.2 0 290 262 50 1302.2 0 50 263 22 1302.2 0 22 264 8 1302.2 0 8 265 15 1302.2 0 15 266 12 1302.2 0 12 267 18 1302.2 0 18 268 22 1302.2 0 22 269 8 1302.2 0 8 270 4 1302.2 0 4 271 4 1302.2 0 4 272 9 1302.2 0 9 273 12 1302.2 0 12 274 28 1302.2 0 28 275 13 1302.2 0 13 276 15 1302.2 0 15 277 10 1302.2 0 10 278 9 1302.2 0 9 279 103 1302.2 0 103 280 128 1302.2 0 128 281 86 1302.2 0 86 282 10 1302.2 0 10 283 24 1302.2 0 24 284 4 1302.2 0 4 285 6 1302.2 0 6 286 12 1302.2 0 12 287 8 1302.2 0 8 288 10 1302.2 0 10 289 11 1302.2 0 11 290 1 1302.2 0 1 291 5 1302.2 0 5 292 10 1302.2 0 10 293 18 1302.2 0 18 294 14 1302.2 0 14 295 16 1302.2 0 16 296 3 1302.2 0 3 297 3 1302.2 0 3 298 11 1302.2 0 11 299 4 1302.2 0 4 300 6 1302.2 0 6 301 10 1302.2 0 10 Finished in 1.46 s (53 us/read; 1.14 M reads/minute). === Summary === Total reads processed: 27,649 Reads with adapters: 19,625 (71.0%) Reads that were too short: 2 (0.0%) Reads written (passing filters): 19,623 (71.0%) Total basepairs processed: 7,393,474 bp Total written (filtered): 5,377,271 bp (72.7%) === Adapter 1 === Sequence: GGACTACNNGGGTATCTAAT; Type: regular 5'; Length: 20; Trimmed: 19625 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 18 7 0.0 3 0 0 7 19 245 0.0 3 0 236 7 1 1 20 19302 0.0 4 18996 284 14 2 6 21 49 0.0 4 6 43 22 7 0.0 4 2 0 3 0 2 23 10 0.0 4 1 0 0 9 32 1 0.0 4 0 0 0 0 1 38 2 0.0 4 0 0 0 0 2 66 1 0.0 4 0 0 0 0 1 127 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 0.83 s (42 us/read; 1.42 M reads/minute). === Summary === Total reads processed: 19,623 Reads with adapters: 227 (1.2%) Reads written (passing filters): 19,623 (100.0%) Total basepairs processed: 5,377,271 bp Total written (filtered): 5,373,935 bp (99.9%) === Adapter 1 === Sequence: CTGSTGCVYCCCRTAGG; Type: regular 3'; Length: 17; Trimmed: 227 times. No. of allowed errors: 0-9 bp: 0; 10-17 bp: 1 Bases preceding removed adapters: A: 1.8% C: 0.4% G: 96.0% T: 1.8% none/other: 0.0% WARNING: The adapter is preceded by "G" extremely often. The provided adapter sequence may be incomplete. To fix the problem, add "G" to the beginning of the adapter sequence. Overview of removed sequences length count expect max.err error counts 3 2 306.6 0 2 10 1 0.0 1 0 1 11 219 0.0 1 2 217 12 1 0.0 1 0 1 152 1 0.0 1 1 225 1 0.0 1 0 1 259 1 0.0 1 1 263 1 0.0 1 1 WARNING: One or more of your adapter sequences may be incomplete. Please see the detailed output above.