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 165.14 s (31 us/read; 1.94 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 229,433 (4.3%) Reads that were too short: 206,022 (3.9%) Reads written (passing filters): 23,411 (0.4%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 3,926,994 bp (0.2%) === Adapter 1 === Sequence: GTCCGG; Type: regular 5'; Length: 6; Trimmed: 229433 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 258 1302.2 0 258 7 2723 1302.2 0 2723 8 21 1302.2 0 21 9 50 1302.2 0 50 10 175 1302.2 0 175 11 27 1302.2 0 27 12 10 1302.2 0 10 13 18 1302.2 0 18 14 13 1302.2 0 13 15 11 1302.2 0 11 16 16 1302.2 0 16 17 15 1302.2 0 15 18 19 1302.2 0 19 19 17 1302.2 0 17 20 14 1302.2 0 14 21 36 1302.2 0 36 22 24 1302.2 0 24 23 16 1302.2 0 16 24 26 1302.2 0 26 25 15 1302.2 0 15 26 16 1302.2 0 16 27 13 1302.2 0 13 28 10 1302.2 0 10 29 18 1302.2 0 18 30 9 1302.2 0 9 31 12 1302.2 0 12 32 16 1302.2 0 16 33 32 1302.2 0 32 34 14 1302.2 0 14 35 17 1302.2 0 17 36 24 1302.2 0 24 37 21 1302.2 0 21 38 21 1302.2 0 21 39 14 1302.2 0 14 40 19 1302.2 0 19 41 13 1302.2 0 13 42 11 1302.2 0 11 43 13 1302.2 0 13 44 14 1302.2 0 14 45 33 1302.2 0 33 46 14 1302.2 0 14 47 12 1302.2 0 12 48 17 1302.2 0 17 49 10 1302.2 0 10 50 10 1302.2 0 10 51 16 1302.2 0 16 52 23 1302.2 0 23 53 20 1302.2 0 20 54 5 1302.2 0 5 55 9 1302.2 0 9 56 14 1302.2 0 14 57 19 1302.2 0 19 58 19 1302.2 0 19 59 25 1302.2 0 25 60 13 1302.2 0 13 61 15 1302.2 0 15 62 25 1302.2 0 25 63 11 1302.2 0 11 64 11 1302.2 0 11 65 19 1302.2 0 19 66 7 1302.2 0 7 67 10 1302.2 0 10 68 11 1302.2 0 11 69 17 1302.2 0 17 70 7 1302.2 0 7 71 8 1302.2 0 8 72 17 1302.2 0 17 73 27 1302.2 0 27 74 16 1302.2 0 16 75 174 1302.2 0 174 76 39 1302.2 0 39 77 84 1302.2 0 84 78 11 1302.2 0 11 79 12 1302.2 0 12 80 9 1302.2 0 9 81 24 1302.2 0 24 82 9 1302.2 0 9 83 8 1302.2 0 8 84 10 1302.2 0 10 85 11 1302.2 0 11 86 14 1302.2 0 14 87 8 1302.2 0 8 88 11 1302.2 0 11 89 6 1302.2 0 6 90 13 1302.2 0 13 91 7 1302.2 0 7 92 13 1302.2 0 13 93 5 1302.2 0 5 94 14 1302.2 0 14 95 9 1302.2 0 9 96 10 1302.2 0 10 97 10 1302.2 0 10 98 17 1302.2 0 17 99 27 1302.2 0 27 100 50 1302.2 0 50 101 17 1302.2 0 17 102 35 1302.2 0 35 103 39 1302.2 0 39 104 29 1302.2 0 29 105 19 1302.2 0 19 106 29 1302.2 0 29 107 37 1302.2 0 37 108 51 1302.2 0 51 109 39 1302.2 0 39 110 37 1302.2 0 37 111 39 1302.2 0 39 112 53 1302.2 0 53 113 429 1302.2 0 429 114 2471 1302.2 0 2471 115 2307 1302.2 0 2307 116 10 1302.2 0 10 117 10 1302.2 0 10 118 16 1302.2 0 16 119 9 1302.2 0 9 120 11 1302.2 0 11 121 21 1302.2 0 21 122 14 1302.2 0 14 123 17 1302.2 0 17 124 22 1302.2 0 22 125 15 1302.2 0 15 126 19 1302.2 0 19 127 13 1302.2 0 13 128 12 1302.2 0 12 129 25 1302.2 0 25 130 27 1302.2 0 27 131 33 1302.2 0 33 132 50 1302.2 0 50 133 39 1302.2 0 39 134 41 1302.2 0 41 135 20 1302.2 0 20 136 18 1302.2 0 18 137 44 1302.2 0 44 138 235 1302.2 0 235 139 73 1302.2 0 73 140 144 1302.2 0 144 141 17 1302.2 0 17 142 44 1302.2 0 44 143 97 1302.2 0 97 144 121 1302.2 0 121 145 22 1302.2 0 22 146 26 1302.2 0 26 147 156 1302.2 0 156 148 824 1302.2 0 824 149 865 1302.2 0 865 150 112 1302.2 0 112 151 8 1302.2 0 8 152 13 1302.2 0 13 153 9 1302.2 0 9 154 13 1302.2 0 13 155 5 1302.2 0 5 156 10 1302.2 0 10 157 13 1302.2 0 13 158 10 1302.2 0 10 159 9 1302.2 0 9 160 10 1302.2 0 10 161 6 1302.2 0 6 162 21 1302.2 0 21 163 15 1302.2 0 15 164 12 1302.2 0 12 165 20 1302.2 0 20 166 15 1302.2 0 15 167 17 1302.2 0 17 168 68 1302.2 0 68 169 18 1302.2 0 18 170 58 1302.2 0 58 171 17 1302.2 0 17 172 69 1302.2 0 69 173 16 1302.2 0 16 174 16 1302.2 0 16 175 24 1302.2 0 24 176 23 1302.2 0 23 177 19 1302.2 0 19 178 16 1302.2 0 16 179 22 1302.2 0 22 180 23 1302.2 0 23 181 36 1302.2 0 36 182 23 1302.2 0 23 183 49 1302.2 0 49 184 27 1302.2 0 27 185 42 1302.2 0 42 186 56 1302.2 0 56 187 82 1302.2 0 82 188 80 1302.2 0 80 189 343 1302.2 0 343 190 136 1302.2 0 136 191 211 1302.2 0 211 192 253 1302.2 0 253 193 228 1302.2 0 228 194 182 1302.2 0 182 195 320 1302.2 0 320 196 229 1302.2 0 229 197 177 1302.2 0 177 198 257 1302.2 0 257 199 421 1302.2 0 421 200 2470 1302.2 0 2470 201 3465 1302.2 0 3465 202 5308 1302.2 0 5308 203 946 1302.2 0 946 204 907 1302.2 0 907 205 4773 1302.2 0 4773 206 9477 1302.2 0 9477 207 27580 1302.2 0 27580 208 9190 1302.2 0 9190 209 2740 1302.2 0 2740 210 1540 1302.2 0 1540 211 2901 1302.2 0 2901 212 1765 1302.2 0 1765 213 3173 1302.2 0 3173 214 607 1302.2 0 607 215 1701 1302.2 0 1701 216 804 1302.2 0 804 217 736 1302.2 0 736 218 1188 1302.2 0 1188 219 1977 1302.2 0 1977 220 1454 1302.2 0 1454 221 7216 1302.2 0 7216 222 7496 1302.2 0 7496 223 1834 1302.2 0 1834 224 927 1302.2 0 927 225 2624 1302.2 0 2624 226 9737 1302.2 0 9737 227 59050 1302.2 0 59050 228 9535 1302.2 0 9535 229 183 1302.2 0 183 230 72 1302.2 0 72 231 117 1302.2 0 117 232 17 1302.2 0 17 233 4 1302.2 0 4 234 7 1302.2 0 7 235 9 1302.2 0 9 236 20 1302.2 0 20 237 13 1302.2 0 13 238 23 1302.2 0 23 239 9 1302.2 0 9 240 9 1302.2 0 9 241 9 1302.2 0 9 242 13 1302.2 0 13 243 5 1302.2 0 5 244 32 1302.2 0 32 245 44 1302.2 0 44 246 78 1302.2 0 78 247 52 1302.2 0 52 248 50 1302.2 0 50 249 205 1302.2 0 205 250 72 1302.2 0 72 251 141 1302.2 0 141 252 218 1302.2 0 218 253 124 1302.2 0 124 254 191 1302.2 0 191 255 219 1302.2 0 219 256 133 1302.2 0 133 257 117 1302.2 0 117 258 168 1302.2 0 168 259 180 1302.2 0 180 260 156 1302.2 0 156 261 315 1302.2 0 315 262 2330 1302.2 0 2330 263 7000 1302.2 0 7000 264 16137 1302.2 0 16137 265 97 1302.2 0 97 266 11 1302.2 0 11 267 6 1302.2 0 6 268 5 1302.2 0 5 269 8 1302.2 0 8 270 5 1302.2 0 5 271 7 1302.2 0 7 272 7 1302.2 0 7 273 17 1302.2 0 17 274 3 1302.2 0 3 275 5 1302.2 0 5 276 17 1302.2 0 17 277 6 1302.2 0 6 278 4 1302.2 0 4 279 8 1302.2 0 8 280 4 1302.2 0 4 281 6 1302.2 0 6 282 7 1302.2 0 7 283 6 1302.2 0 6 284 12 1302.2 0 12 285 8 1302.2 0 8 286 12 1302.2 0 12 287 2 1302.2 0 2 288 3 1302.2 0 3 289 3 1302.2 0 3 290 4 1302.2 0 4 291 3 1302.2 0 3 292 6 1302.2 0 6 293 20 1302.2 0 20 294 26 1302.2 0 26 295 2 1302.2 0 2 296 3 1302.2 0 3 297 5 1302.2 0 5 298 7 1302.2 0 7 299 9 1302.2 0 9 300 3 1302.2 0 3 301 7 1302.2 0 7 Finished in 1.10 s (47 us/read; 1.28 M reads/minute). === Summary === Total reads processed: 23,411 Reads with adapters: 2,901 (12.4%) Reads that were too short: 4 (0.0%) Reads written (passing filters): 2,897 (12.4%) Total basepairs processed: 3,926,994 bp Total written (filtered): 793,945 bp (20.2%) === Adapter 1 === Sequence: GGACTACNNGGGTATCTAAT; Type: regular 5'; Length: 20; Trimmed: 2901 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 19 41 0.0 3 0 39 1 0 1 20 2839 0.0 4 2784 53 1 1 21 6 0.0 4 0 6 22 7 0.0 4 5 0 1 0 1 23 3 0.0 4 0 0 0 3 24 1 0.0 4 0 0 0 0 1 27 1 0.0 4 0 0 0 0 1 97 1 0.0 4 0 0 0 0 1 104 1 0.0 4 0 0 0 0 1 256 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 0.13 s (45 us/read; 1.34 M reads/minute). === Summary === Total reads processed: 2,897 Reads with adapters: 10 (0.3%) Reads written (passing filters): 2,897 (100.0%) Total basepairs processed: 793,945 bp Total written (filtered): 792,408 bp (99.8%) === Adapter 1 === Sequence: CTGSTGCVYCCCRTAGG; Type: regular 3'; Length: 17; Trimmed: 10 times. No. of allowed errors: 0-9 bp: 0; 10-17 bp: 1 Bases preceding removed adapters: A: 10.0% C: 0.0% G: 40.0% T: 40.0% none/other: 10.0% Overview of removed sequences length count expect max.err error counts 11 4 0.0 1 0 4 152 1 0.0 1 0 1 256 1 0.0 1 1 269 2 0.0 1 2 273 1 0.0 1 1 274 1 0.0 1 1