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 164.36 s (31 us/read; 1.95 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 35,404 (0.7%) Reads that were too short: 3,559 (0.1%) Reads written (passing filters): 31,845 (0.6%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 8,283,938 bp (0.5%) === Adapter 1 === Sequence: GGTTCT; Type: regular 5'; Length: 6; Trimmed: 35404 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 457 1302.2 0 457 7 19944 1302.2 0 19944 8 71 1302.2 0 71 9 137 1302.2 0 137 10 32 1302.2 0 32 11 32 1302.2 0 32 12 19 1302.2 0 19 13 24 1302.2 0 24 14 11 1302.2 0 11 15 20 1302.2 0 20 16 24 1302.2 0 24 17 20 1302.2 0 20 18 21 1302.2 0 21 19 22 1302.2 0 22 20 35 1302.2 0 35 21 28 1302.2 0 28 22 51 1302.2 0 51 23 297 1302.2 0 297 24 95 1302.2 0 95 25 331 1302.2 0 331 26 18 1302.2 0 18 27 20 1302.2 0 20 28 16 1302.2 0 16 29 20 1302.2 0 20 30 19 1302.2 0 19 31 22 1302.2 0 22 32 13 1302.2 0 13 33 35 1302.2 0 35 34 21 1302.2 0 21 35 61 1302.2 0 61 36 21 1302.2 0 21 37 36 1302.2 0 36 38 55 1302.2 0 55 39 26 1302.2 0 26 40 28 1302.2 0 28 41 10 1302.2 0 10 42 20 1302.2 0 20 43 20 1302.2 0 20 44 99 1302.2 0 99 45 17 1302.2 0 17 46 17 1302.2 0 17 47 56 1302.2 0 56 48 17 1302.2 0 17 49 20 1302.2 0 20 50 15 1302.2 0 15 51 8 1302.2 0 8 52 23 1302.2 0 23 53 19 1302.2 0 19 54 24 1302.2 0 24 55 165 1302.2 0 165 56 38 1302.2 0 38 57 18 1302.2 0 18 58 17 1302.2 0 17 59 12 1302.2 0 12 60 29 1302.2 0 29 61 18 1302.2 0 18 62 12 1302.2 0 12 63 11 1302.2 0 11 64 9 1302.2 0 9 65 8 1302.2 0 8 66 36 1302.2 0 36 67 10 1302.2 0 10 68 15 1302.2 0 15 69 14 1302.2 0 14 70 14 1302.2 0 14 71 14 1302.2 0 14 72 16 1302.2 0 16 73 48 1302.2 0 48 74 19 1302.2 0 19 75 22 1302.2 0 22 76 9 1302.2 0 9 77 17 1302.2 0 17 78 23 1302.2 0 23 79 22 1302.2 0 22 80 38 1302.2 0 38 81 44 1302.2 0 44 82 29 1302.2 0 29 83 45 1302.2 0 45 84 76 1302.2 0 76 85 38 1302.2 0 38 86 37 1302.2 0 37 87 75 1302.2 0 75 88 334 1302.2 0 334 89 335 1302.2 0 335 90 662 1302.2 0 662 91 17 1302.2 0 17 92 25 1302.2 0 25 93 14 1302.2 0 14 94 31 1302.2 0 31 95 67 1302.2 0 67 96 148 1302.2 0 148 97 277 1302.2 0 277 98 240 1302.2 0 240 99 74 1302.2 0 74 100 68 1302.2 0 68 101 554 1302.2 0 554 102 48 1302.2 0 48 103 127 1302.2 0 127 104 12 1302.2 0 12 105 14 1302.2 0 14 106 10 1302.2 0 10 107 7 1302.2 0 7 108 13 1302.2 0 13 109 13 1302.2 0 13 110 19 1302.2 0 19 111 26 1302.2 0 26 112 28 1302.2 0 28 113 16 1302.2 0 16 114 28 1302.2 0 28 115 12 1302.2 0 12 116 18 1302.2 0 18 117 27 1302.2 0 27 118 39 1302.2 0 39 119 37 1302.2 0 37 120 39 1302.2 0 39 121 46 1302.2 0 46 122 34 1302.2 0 34 123 46 1302.2 0 46 124 42 1302.2 0 42 125 47 1302.2 0 47 126 98 1302.2 0 98 127 1477 1302.2 0 1477 128 544 1302.2 0 544 129 879 1302.2 0 879 130 25 1302.2 0 25 131 27 1302.2 0 27 132 34 1302.2 0 34 133 52 1302.2 0 52 134 95 1302.2 0 95 135 39 1302.2 0 39 136 32 1302.2 0 32 137 28 1302.2 0 28 138 22 1302.2 0 22 139 26 1302.2 0 26 140 18 1302.2 0 18 141 42 1302.2 0 42 142 18 1302.2 0 18 143 19 1302.2 0 19 144 44 1302.2 0 44 145 14 1302.2 0 14 146 16 1302.2 0 16 147 30 1302.2 0 30 148 70 1302.2 0 70 149 18 1302.2 0 18 150 4 1302.2 0 4 151 6 1302.2 0 6 152 11 1302.2 0 11 153 12 1302.2 0 12 154 12 1302.2 0 12 155 17 1302.2 0 17 156 18 1302.2 0 18 157 22 1302.2 0 22 158 36 1302.2 0 36 159 23 1302.2 0 23 160 15 1302.2 0 15 161 23 1302.2 0 23 162 17 1302.2 0 17 163 13 1302.2 0 13 164 14 1302.2 0 14 165 17 1302.2 0 17 166 20 1302.2 0 20 167 42 1302.2 0 42 168 46 1302.2 0 46 169 28 1302.2 0 28 170 25 1302.2 0 25 171 22 1302.2 0 22 172 18 1302.2 0 18 173 14 1302.2 0 14 174 19 1302.2 0 19 175 16 1302.2 0 16 176 39 1302.2 0 39 177 20 1302.2 0 20 178 28 1302.2 0 28 179 14 1302.2 0 14 180 12 1302.2 0 12 181 24 1302.2 0 24 182 24 1302.2 0 24 183 22 1302.2 0 22 184 15 1302.2 0 15 185 16 1302.2 0 16 186 15 1302.2 0 15 187 17 1302.2 0 17 188 17 1302.2 0 17 189 18 1302.2 0 18 190 17 1302.2 0 17 191 14 1302.2 0 14 192 18 1302.2 0 18 193 51 1302.2 0 51 194 29 1302.2 0 29 195 73 1302.2 0 73 196 46 1302.2 0 46 197 29 1302.2 0 29 198 18 1302.2 0 18 199 21 1302.2 0 21 200 16 1302.2 0 16 201 16 1302.2 0 16 202 26 1302.2 0 26 203 28 1302.2 0 28 204 29 1302.2 0 29 205 25 1302.2 0 25 206 39 1302.2 0 39 207 33 1302.2 0 33 208 66 1302.2 0 66 209 21 1302.2 0 21 210 13 1302.2 0 13 211 22 1302.2 0 22 212 16 1302.2 0 16 213 42 1302.2 0 42 214 56 1302.2 0 56 215 68 1302.2 0 68 216 30 1302.2 0 30 217 38 1302.2 0 38 218 38 1302.2 0 38 219 12 1302.2 0 12 220 15 1302.2 0 15 221 13 1302.2 0 13 222 22 1302.2 0 22 223 39 1302.2 0 39 224 38 1302.2 0 38 225 83 1302.2 0 83 226 35 1302.2 0 35 227 29 1302.2 0 29 228 22 1302.2 0 22 229 30 1302.2 0 30 230 8 1302.2 0 8 231 12 1302.2 0 12 232 10 1302.2 0 10 233 21 1302.2 0 21 234 18 1302.2 0 18 235 128 1302.2 0 128 236 94 1302.2 0 94 237 177 1302.2 0 177 238 16 1302.2 0 16 239 16 1302.2 0 16 240 22 1302.2 0 22 241 28 1302.2 0 28 242 32 1302.2 0 32 243 31 1302.2 0 31 244 23 1302.2 0 23 245 41 1302.2 0 41 246 26 1302.2 0 26 247 14 1302.2 0 14 248 18 1302.2 0 18 249 16 1302.2 0 16 250 8 1302.2 0 8 251 14 1302.2 0 14 252 43 1302.2 0 43 253 62 1302.2 0 62 254 91 1302.2 0 91 255 44 1302.2 0 44 256 19 1302.2 0 19 257 16 1302.2 0 16 258 16 1302.2 0 16 259 47 1302.2 0 47 260 207 1302.2 0 207 261 250 1302.2 0 250 262 38 1302.2 0 38 263 14 1302.2 0 14 264 15 1302.2 0 15 265 12 1302.2 0 12 266 20 1302.2 0 20 267 46 1302.2 0 46 268 19 1302.2 0 19 269 8 1302.2 0 8 270 2 1302.2 0 2 271 9 1302.2 0 9 272 16 1302.2 0 16 273 31 1302.2 0 31 274 96 1302.2 0 96 275 10 1302.2 0 10 276 14 1302.2 0 14 277 9 1302.2 0 9 278 17 1302.2 0 17 279 76 1302.2 0 76 280 92 1302.2 0 92 281 72 1302.2 0 72 282 16 1302.2 0 16 283 48 1302.2 0 48 284 13 1302.2 0 13 285 11 1302.2 0 11 286 8 1302.2 0 8 287 13 1302.2 0 13 288 34 1302.2 0 34 289 19 1302.2 0 19 290 7 1302.2 0 7 291 5 1302.2 0 5 292 14 1302.2 0 14 293 23 1302.2 0 23 294 23 1302.2 0 23 295 15 1302.2 0 15 296 9 1302.2 0 9 297 16 1302.2 0 16 298 21 1302.2 0 21 299 58 1302.2 0 58 300 55 1302.2 0 55 301 39 1302.2 0 39 Finished in 1.70 s (53 us/read; 1.12 M reads/minute). === Summary === Total reads processed: 31,845 Reads with adapters: 20,220 (63.5%) Reads that were too short: 8 (0.0%) Reads written (passing filters): 20,212 (63.5%) Total basepairs processed: 8,283,938 bp Total written (filtered): 5,537,748 bp (66.8%) === Adapter 1 === Sequence: GGACTACNNGGGTATCTAAT; Type: regular 5'; Length: 20; Trimmed: 20220 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 6 1 19 208 0.0 3 0 198 6 1 3 20 19900 0.0 4 19376 463 38 15 8 21 63 0.0 4 9 51 2 0 1 22 7 0.0 4 2 0 4 0 1 23 20 0.0 4 5 2 1 11 1 24 1 0.0 4 0 0 0 0 1 38 2 0.0 4 0 0 0 0 2 40 1 0.0 4 0 0 0 0 1 46 1 0.0 4 0 0 0 0 1 51 1 0.0 4 0 0 0 0 1 77 1 0.0 4 0 0 0 0 1 96 1 0.0 4 0 0 0 0 1 113 2 0.0 4 0 0 0 0 2 162 2 0.0 4 0 0 0 0 2 164 1 0.0 4 0 0 0 0 1 165 1 0.0 4 0 0 0 0 1 174 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 0.87 s (43 us/read; 1.39 M reads/minute). === Summary === Total reads processed: 20,212 Reads with adapters: 1,042 (5.2%) Reads written (passing filters): 20,212 (100.0%) Total basepairs processed: 5,537,748 bp Total written (filtered): 5,525,781 bp (99.8%) === Adapter 1 === Sequence: CTGSTGCVYCCCRTAGG; Type: regular 3'; Length: 17; Trimmed: 1042 times. No. of allowed errors: 0-9 bp: 0; 10-17 bp: 1 Bases preceding removed adapters: A: 2.6% C: 3.9% G: 91.6% T: 1.9% 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 4 315.8 0 4 4 3 79.0 0 3 9 2 0.1 0 0 2 10 11 0.0 1 0 11 11 963 0.0 1 3 960 12 52 0.0 1 2 50 13 2 0.0 1 0 2 15 1 0.0 1 0 1 16 2 0.0 1 0 2 257 1 0.0 1 1 268 1 0.0 1 1 WARNING: One or more of your adapter sequences may be incomplete. Please see the detailed output above.