This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g GTCCGG -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 166.23 s (31 us/read; 1.93 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 213,101 (4.0%) Reads that were too short: 188,880 (3.5%) Reads written (passing filters): 24,221 (0.5%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 4,170,591 bp (0.3%) === Adapter 1 === Sequence: GTCCGG; Type: regular 5'; Length: 6; Trimmed: 213101 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 241 1302.2 0 241 7 2611 1302.2 0 2611 8 28 1302.2 0 28 9 36 1302.2 0 36 10 227 1302.2 0 227 11 46 1302.2 0 46 12 18 1302.2 0 18 13 16 1302.2 0 16 14 18 1302.2 0 18 15 11 1302.2 0 11 16 30 1302.2 0 30 17 560 1302.2 0 560 18 18 1302.2 0 18 19 17 1302.2 0 17 20 18 1302.2 0 18 21 16 1302.2 0 16 22 27 1302.2 0 27 23 17 1302.2 0 17 24 10 1302.2 0 10 25 12 1302.2 0 12 26 15 1302.2 0 15 27 15 1302.2 0 15 28 15 1302.2 0 15 29 19 1302.2 0 19 30 9 1302.2 0 9 31 87 1302.2 0 87 32 11 1302.2 0 11 33 33 1302.2 0 33 34 24 1302.2 0 24 35 14 1302.2 0 14 36 15 1302.2 0 15 37 23 1302.2 0 23 38 15 1302.2 0 15 39 22 1302.2 0 22 40 26 1302.2 0 26 41 78 1302.2 0 78 42 25 1302.2 0 25 43 23 1302.2 0 23 44 17 1302.2 0 17 45 32 1302.2 0 32 46 11 1302.2 0 11 47 11 1302.2 0 11 48 24 1302.2 0 24 49 17 1302.2 0 17 50 77 1302.2 0 77 51 21 1302.2 0 21 52 18 1302.2 0 18 53 11 1302.2 0 11 54 11 1302.2 0 11 55 8 1302.2 0 8 56 24 1302.2 0 24 57 27 1302.2 0 27 58 13 1302.2 0 13 59 14 1302.2 0 14 60 12 1302.2 0 12 61 13 1302.2 0 13 62 20 1302.2 0 20 63 20 1302.2 0 20 64 12 1302.2 0 12 65 23 1302.2 0 23 66 21 1302.2 0 21 67 12 1302.2 0 12 68 7 1302.2 0 7 69 13 1302.2 0 13 70 16 1302.2 0 16 71 11 1302.2 0 11 72 26 1302.2 0 26 73 14 1302.2 0 14 74 14 1302.2 0 14 75 159 1302.2 0 159 76 44 1302.2 0 44 77 98 1302.2 0 98 78 32 1302.2 0 32 79 18 1302.2 0 18 80 24 1302.2 0 24 81 25 1302.2 0 25 82 17 1302.2 0 17 83 15 1302.2 0 15 84 31 1302.2 0 31 85 10 1302.2 0 10 86 17 1302.2 0 17 87 11 1302.2 0 11 88 18 1302.2 0 18 89 14 1302.2 0 14 90 11 1302.2 0 11 91 23 1302.2 0 23 92 21 1302.2 0 21 93 26 1302.2 0 26 94 24 1302.2 0 24 95 21 1302.2 0 21 96 14 1302.2 0 14 97 13 1302.2 0 13 98 16 1302.2 0 16 99 25 1302.2 0 25 100 51 1302.2 0 51 101 10 1302.2 0 10 102 20 1302.2 0 20 103 40 1302.2 0 40 104 22 1302.2 0 22 105 16 1302.2 0 16 106 30 1302.2 0 30 107 41 1302.2 0 41 108 58 1302.2 0 58 109 38 1302.2 0 38 110 34 1302.2 0 34 111 38 1302.2 0 38 112 55 1302.2 0 55 113 424 1302.2 0 424 114 2429 1302.2 0 2429 115 2478 1302.2 0 2478 116 31 1302.2 0 31 117 8 1302.2 0 8 118 5 1302.2 0 5 119 12 1302.2 0 12 120 13 1302.2 0 13 121 17 1302.2 0 17 122 23 1302.2 0 23 123 16 1302.2 0 16 124 18 1302.2 0 18 125 9 1302.2 0 9 126 10 1302.2 0 10 127 10 1302.2 0 10 128 14 1302.2 0 14 129 19 1302.2 0 19 130 18 1302.2 0 18 131 20 1302.2 0 20 132 38 1302.2 0 38 133 36 1302.2 0 36 134 45 1302.2 0 45 135 24 1302.2 0 24 136 27 1302.2 0 27 137 35 1302.2 0 35 138 224 1302.2 0 224 139 76 1302.2 0 76 140 124 1302.2 0 124 141 22 1302.2 0 22 142 53 1302.2 0 53 143 96 1302.2 0 96 144 152 1302.2 0 152 145 23 1302.2 0 23 146 28 1302.2 0 28 147 180 1302.2 0 180 148 840 1302.2 0 840 149 908 1302.2 0 908 150 108 1302.2 0 108 151 6 1302.2 0 6 152 12 1302.2 0 12 153 8 1302.2 0 8 154 15 1302.2 0 15 155 14 1302.2 0 14 156 20 1302.2 0 20 157 8 1302.2 0 8 158 10 1302.2 0 10 159 11 1302.2 0 11 160 10 1302.2 0 10 161 13 1302.2 0 13 162 15 1302.2 0 15 163 8 1302.2 0 8 164 23 1302.2 0 23 165 28 1302.2 0 28 166 19 1302.2 0 19 167 25 1302.2 0 25 168 78 1302.2 0 78 169 20 1302.2 0 20 170 70 1302.2 0 70 171 17 1302.2 0 17 172 59 1302.2 0 59 173 26 1302.2 0 26 174 27 1302.2 0 27 175 24 1302.2 0 24 176 20 1302.2 0 20 177 15 1302.2 0 15 178 21 1302.2 0 21 179 25 1302.2 0 25 180 20 1302.2 0 20 181 34 1302.2 0 34 182 31 1302.2 0 31 183 41 1302.2 0 41 184 46 1302.2 0 46 185 52 1302.2 0 52 186 71 1302.2 0 71 187 84 1302.2 0 84 188 87 1302.2 0 87 189 315 1302.2 0 315 190 130 1302.2 0 130 191 234 1302.2 0 234 192 260 1302.2 0 260 193 206 1302.2 0 206 194 186 1302.2 0 186 195 288 1302.2 0 288 196 184 1302.2 0 184 197 172 1302.2 0 172 198 220 1302.2 0 220 199 361 1302.2 0 361 200 2325 1302.2 0 2325 201 3418 1302.2 0 3418 202 4975 1302.2 0 4975 203 1012 1302.2 0 1012 204 843 1302.2 0 843 205 4048 1302.2 0 4048 206 8042 1302.2 0 8042 207 22721 1302.2 0 22721 208 9004 1302.2 0 9004 209 2904 1302.2 0 2904 210 1430 1302.2 0 1430 211 2621 1302.2 0 2621 212 1703 1302.2 0 1703 213 3203 1302.2 0 3203 214 576 1302.2 0 576 215 1437 1302.2 0 1437 216 620 1302.2 0 620 217 651 1302.2 0 651 218 1046 1302.2 0 1046 219 1790 1302.2 0 1790 220 1249 1302.2 0 1249 221 5934 1302.2 0 5934 222 5803 1302.2 0 5803 223 1573 1302.2 0 1573 224 791 1302.2 0 791 225 2645 1302.2 0 2645 226 9038 1302.2 0 9038 227 55753 1302.2 0 55753 228 8106 1302.2 0 8106 229 203 1302.2 0 203 230 75 1302.2 0 75 231 109 1302.2 0 109 232 18 1302.2 0 18 233 12 1302.2 0 12 234 7 1302.2 0 7 235 10 1302.2 0 10 236 19 1302.2 0 19 237 10 1302.2 0 10 238 22 1302.2 0 22 239 7 1302.2 0 7 240 14 1302.2 0 14 241 3 1302.2 0 3 242 15 1302.2 0 15 243 15 1302.2 0 15 244 127 1302.2 0 127 245 108 1302.2 0 108 246 144 1302.2 0 144 247 69 1302.2 0 69 248 50 1302.2 0 50 249 240 1302.2 0 240 250 86 1302.2 0 86 251 150 1302.2 0 150 252 260 1302.2 0 260 253 734 1302.2 0 734 254 331 1302.2 0 331 255 264 1302.2 0 264 256 154 1302.2 0 154 257 162 1302.2 0 162 258 192 1302.2 0 192 259 200 1302.2 0 200 260 187 1302.2 0 187 261 275 1302.2 0 275 262 2282 1302.2 0 2282 263 6812 1302.2 0 6812 264 15183 1302.2 0 15183 265 121 1302.2 0 121 266 22 1302.2 0 22 267 2 1302.2 0 2 268 5 1302.2 0 5 269 15 1302.2 0 15 270 11 1302.2 0 11 271 14 1302.2 0 14 272 9 1302.2 0 9 273 19 1302.2 0 19 274 5 1302.2 0 5 275 4 1302.2 0 4 276 14 1302.2 0 14 277 7 1302.2 0 7 278 7 1302.2 0 7 279 21 1302.2 0 21 280 9 1302.2 0 9 281 6 1302.2 0 6 282 9 1302.2 0 9 283 8 1302.2 0 8 284 12 1302.2 0 12 285 20 1302.2 0 20 286 8 1302.2 0 8 287 7 1302.2 0 7 288 2 1302.2 0 2 289 10 1302.2 0 10 290 11 1302.2 0 11 291 5 1302.2 0 5 292 45 1302.2 0 45 293 109 1302.2 0 109 294 155 1302.2 0 155 295 15 1302.2 0 15 296 36 1302.2 0 36 297 10 1302.2 0 10 298 14 1302.2 0 14 299 5 1302.2 0 5 300 6 1302.2 0 6 301 35 1302.2 0 35 Finished in 1.14 s (47 us/read; 1.27 M reads/minute). === Summary === Total reads processed: 24,221 Reads with adapters: 2,714 (11.2%) Reads that were too short: 6 (0.0%) Reads written (passing filters): 2,708 (11.2%) Total basepairs processed: 4,170,591 bp Total written (filtered): 742,054 bp (17.8%) === Adapter 1 === Sequence: GGACTACNNGGGTATCTAAT; Type: regular 5'; Length: 20; Trimmed: 2714 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 1 1 18 2 0.0 3 0 0 2 19 48 0.0 3 0 44 2 1 1 20 2641 0.0 4 2553 69 14 3 2 21 15 0.0 4 4 8 0 1 2 64 2 0.0 4 0 0 0 0 2 66 2 0.0 4 0 0 0 0 2 114 1 0.0 4 0 0 0 0 1 188 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 0.11 s (41 us/read; 1.48 M reads/minute). === Summary === Total reads processed: 2,708 Reads with adapters: 56 (2.1%) Reads written (passing filters): 2,708 (100.0%) Total basepairs processed: 742,054 bp Total written (filtered): 740,966 bp (99.9%) === Adapter 1 === Sequence: CTGSTGCVYCCCRTAGG; Type: regular 3'; Length: 17; Trimmed: 56 times. No. of allowed errors: 0-9 bp: 0; 10-17 bp: 1 Bases preceding removed adapters: A: 12.5% C: 1.8% G: 85.7% T: 0.0% 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 3 42.3 0 3 4 1 10.6 0 1 10 1 0.0 1 0 1 11 40 0.0 1 1 39 12 9 0.0 1 0 9 258 1 0.0 1 1 259 1 0.0 1 1 WARNING: One or more of your adapter sequences may be incomplete. Please see the detailed output above.