This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g CCAAGG -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 168.92 s (32 us/read; 1.89 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 129,838 (2.4%) Reads that were too short: 15,973 (0.3%) Reads written (passing filters): 113,865 (2.1%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 29,373,302 bp (1.8%) === Adapter 1 === Sequence: CCAAGG; Type: regular 5'; Length: 6; Trimmed: 129838 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 757 1302.2 0 757 7 1836 1302.2 0 1836 8 82632 1302.2 0 82632 9 185 1302.2 0 185 10 9 1302.2 0 9 11 3 1302.2 0 3 12 4 1302.2 0 4 13 4 1302.2 0 4 14 6 1302.2 0 6 15 3 1302.2 0 3 16 5 1302.2 0 5 17 4 1302.2 0 4 18 11 1302.2 0 11 19 3 1302.2 0 3 20 6 1302.2 0 6 21 5 1302.2 0 5 22 5 1302.2 0 5 23 6 1302.2 0 6 24 5 1302.2 0 5 25 9 1302.2 0 9 26 7 1302.2 0 7 27 3 1302.2 0 3 28 7 1302.2 0 7 29 6 1302.2 0 6 30 12 1302.2 0 12 31 7 1302.2 0 7 32 3 1302.2 0 3 33 9 1302.2 0 9 34 3 1302.2 0 3 35 6 1302.2 0 6 36 76 1302.2 0 76 37 190 1302.2 0 190 38 109 1302.2 0 109 39 10 1302.2 0 10 40 6 1302.2 0 6 41 4 1302.2 0 4 42 3 1302.2 0 3 43 3 1302.2 0 3 44 12 1302.2 0 12 45 9 1302.2 0 9 46 10 1302.2 0 10 47 3 1302.2 0 3 48 5 1302.2 0 5 49 5 1302.2 0 5 50 8 1302.2 0 8 51 4 1302.2 0 4 52 3 1302.2 0 3 53 4 1302.2 0 4 54 4 1302.2 0 4 55 8 1302.2 0 8 56 1 1302.2 0 1 57 3 1302.2 0 3 58 6 1302.2 0 6 59 10 1302.2 0 10 60 18 1302.2 0 18 61 4 1302.2 0 4 62 7 1302.2 0 7 63 4 1302.2 0 4 64 4 1302.2 0 4 65 10 1302.2 0 10 66 7 1302.2 0 7 67 7 1302.2 0 7 68 7 1302.2 0 7 69 5 1302.2 0 5 70 42 1302.2 0 42 71 79 1302.2 0 79 72 43 1302.2 0 43 73 71 1302.2 0 71 74 32 1302.2 0 32 75 56 1302.2 0 56 76 162 1302.2 0 162 77 1365 1302.2 0 1365 78 657 1302.2 0 657 79 2210 1302.2 0 2210 80 66 1302.2 0 66 81 44 1302.2 0 44 82 52 1302.2 0 52 83 28 1302.2 0 28 84 65 1302.2 0 65 85 11 1302.2 0 11 86 15 1302.2 0 15 87 13 1302.2 0 13 88 61 1302.2 0 61 89 4 1302.2 0 4 90 5 1302.2 0 5 91 92 1302.2 0 92 92 224 1302.2 0 224 93 77 1302.2 0 77 94 63 1302.2 0 63 95 49 1302.2 0 49 96 58 1302.2 0 58 97 219 1302.2 0 219 98 217 1302.2 0 217 99 68 1302.2 0 68 100 24 1302.2 0 24 101 18 1302.2 0 18 102 11 1302.2 0 11 103 13 1302.2 0 13 104 63 1302.2 0 63 105 11 1302.2 0 11 106 12 1302.2 0 12 107 39 1302.2 0 39 108 29 1302.2 0 29 109 17 1302.2 0 17 110 12 1302.2 0 12 111 13 1302.2 0 13 112 15 1302.2 0 15 113 58 1302.2 0 58 114 106 1302.2 0 106 115 99 1302.2 0 99 116 186 1302.2 0 186 117 107 1302.2 0 107 118 36 1302.2 0 36 119 19 1302.2 0 19 120 36 1302.2 0 36 121 46 1302.2 0 46 122 71 1302.2 0 71 123 119 1302.2 0 119 124 83 1302.2 0 83 125 62 1302.2 0 62 126 53 1302.2 0 53 127 50 1302.2 0 50 128 186 1302.2 0 186 129 137 1302.2 0 137 130 69 1302.2 0 69 131 29 1302.2 0 29 132 28 1302.2 0 28 133 60 1302.2 0 60 134 153 1302.2 0 153 135 575 1302.2 0 575 136 580 1302.2 0 580 137 349 1302.2 0 349 138 1196 1302.2 0 1196 139 128 1302.2 0 128 140 36 1302.2 0 36 141 53 1302.2 0 53 142 94 1302.2 0 94 143 271 1302.2 0 271 144 64 1302.2 0 64 145 32 1302.2 0 32 146 33 1302.2 0 33 147 44 1302.2 0 44 148 43 1302.2 0 43 149 27 1302.2 0 27 150 84 1302.2 0 84 151 41 1302.2 0 41 152 61 1302.2 0 61 153 38 1302.2 0 38 154 39 1302.2 0 39 155 104 1302.2 0 104 156 107 1302.2 0 107 157 63 1302.2 0 63 158 29 1302.2 0 29 159 36 1302.2 0 36 160 50 1302.2 0 50 161 57 1302.2 0 57 162 76 1302.2 0 76 163 96 1302.2 0 96 164 143 1302.2 0 143 165 110 1302.2 0 110 166 81 1302.2 0 81 167 120 1302.2 0 120 168 114 1302.2 0 114 169 47 1302.2 0 47 170 61 1302.2 0 61 171 191 1302.2 0 191 172 246 1302.2 0 246 173 203 1302.2 0 203 174 487 1302.2 0 487 175 1242 1302.2 0 1242 176 191 1302.2 0 191 177 209 1302.2 0 209 178 262 1302.2 0 262 179 182 1302.2 0 182 180 215 1302.2 0 215 181 173 1302.2 0 173 182 392 1302.2 0 392 183 149 1302.2 0 149 184 157 1302.2 0 157 185 87 1302.2 0 87 186 60 1302.2 0 60 187 95 1302.2 0 95 188 164 1302.2 0 164 189 395 1302.2 0 395 190 1540 1302.2 0 1540 191 2613 1302.2 0 2613 192 2053 1302.2 0 2053 193 2002 1302.2 0 2002 194 210 1302.2 0 210 195 106 1302.2 0 106 196 126 1302.2 0 126 197 117 1302.2 0 117 198 60 1302.2 0 60 199 145 1302.2 0 145 200 147 1302.2 0 147 201 216 1302.2 0 216 202 1156 1302.2 0 1156 203 392 1302.2 0 392 204 344 1302.2 0 344 205 193 1302.2 0 193 206 36 1302.2 0 36 207 67 1302.2 0 67 208 140 1302.2 0 140 209 189 1302.2 0 189 210 161 1302.2 0 161 211 89 1302.2 0 89 212 74 1302.2 0 74 213 46 1302.2 0 46 214 53 1302.2 0 53 215 80 1302.2 0 80 216 101 1302.2 0 101 217 46 1302.2 0 46 218 53 1302.2 0 53 219 31 1302.2 0 31 220 48 1302.2 0 48 221 108 1302.2 0 108 222 50 1302.2 0 50 223 41 1302.2 0 41 224 27 1302.2 0 27 225 85 1302.2 0 85 226 106 1302.2 0 106 227 87 1302.2 0 87 228 77 1302.2 0 77 229 74 1302.2 0 74 230 28 1302.2 0 28 231 22 1302.2 0 22 232 49 1302.2 0 49 233 92 1302.2 0 92 234 57 1302.2 0 57 235 40 1302.2 0 40 236 58 1302.2 0 58 237 76 1302.2 0 76 238 25 1302.2 0 25 239 19 1302.2 0 19 240 25 1302.2 0 25 241 25 1302.2 0 25 242 18 1302.2 0 18 243 25 1302.2 0 25 244 25 1302.2 0 25 245 23 1302.2 0 23 246 25 1302.2 0 25 247 34 1302.2 0 34 248 41 1302.2 0 41 249 76 1302.2 0 76 250 84 1302.2 0 84 251 44 1302.2 0 44 252 73 1302.2 0 73 253 78 1302.2 0 78 254 150 1302.2 0 150 255 108 1302.2 0 108 256 65 1302.2 0 65 257 76 1302.2 0 76 258 80 1302.2 0 80 259 350 1302.2 0 350 260 401 1302.2 0 401 261 469 1302.2 0 469 262 511 1302.2 0 511 263 197 1302.2 0 197 264 1307 1302.2 0 1307 265 178 1302.2 0 178 266 197 1302.2 0 197 267 36 1302.2 0 36 268 60 1302.2 0 60 269 83 1302.2 0 83 270 147 1302.2 0 147 271 93 1302.2 0 93 272 52 1302.2 0 52 273 32 1302.2 0 32 274 29 1302.2 0 29 275 40 1302.2 0 40 276 146 1302.2 0 146 277 211 1302.2 0 211 278 103 1302.2 0 103 279 48 1302.2 0 48 280 46 1302.2 0 46 281 111 1302.2 0 111 282 86 1302.2 0 86 283 93 1302.2 0 93 284 219 1302.2 0 219 285 534 1302.2 0 534 286 595 1302.2 0 595 287 53 1302.2 0 53 288 141 1302.2 0 141 289 1345 1302.2 0 1345 290 919 1302.2 0 919 291 387 1302.2 0 387 292 31 1302.2 0 31 293 21 1302.2 0 21 294 37 1302.2 0 37 295 166 1302.2 0 166 296 369 1302.2 0 369 297 538 1302.2 0 538 298 40 1302.2 0 40 299 24 1302.2 0 24 300 18 1302.2 0 18 301 15 1302.2 0 15 Finished in 5.21 s (46 us/read; 1.31 M reads/minute). === Summary === Total reads processed: 113,865 Reads with adapters: 85,052 (74.7%) Reads that were too short: 8 (0.0%) Reads written (passing filters): 85,044 (74.7%) Total basepairs processed: 29,373,302 bp Total written (filtered): 23,471,561 bp (79.9%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 85052 times. No. of allowed errors: 0-4 bp: 0; 5-9 bp: 1; 10-14 bp: 2; 15-17 bp: 3 Overview of removed sequences length count expect max.err error counts 14 1 0.0 2 0 0 0 1 15 30 0.0 3 0 0 24 6 16 560 0.0 3 0 536 18 6 17 83514 0.0 3 82382 1102 24 6 18 374 0.0 3 37 185 143 9 19 398 0.0 3 3 0 217 178 20 151 0.0 3 0 0 0 151 21 9 0.0 3 1 1 0 7 23 1 0.0 3 1 25 1 0.0 3 0 0 0 1 26 2 0.0 3 0 0 1 1 33 1 0.0 3 0 0 0 1 81 2 0.0 3 2 93 1 0.0 3 0 0 0 1 97 1 0.0 3 0 0 0 1 104 1 0.0 3 0 0 0 1 107 1 0.0 3 0 0 0 1 114 1 0.0 3 0 0 0 1 131 1 0.0 3 0 0 0 1 183 1 0.0 3 0 0 0 1 290 1 0.0 3 0 0 0 1 This is cutadapt 1.11 with Python 2.7.12 Command line parameters: -a taatctatgggnncatcagg - Trimming 1 adapter with at most 10.0% errors in single-end mode ... Finished in 3.75 s (44 us/read; 1.36 M reads/minute). === Summary === Total reads processed: 85,044 Reads with adapters: 1,517 (1.8%) Reads written (passing filters): 85,044 (100.0%) Total basepairs processed: 23,471,561 bp Total written (filtered): 23,466,964 bp (100.0%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 1517 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 42.8% C: 21.2% G: 29.8% T: 6.1% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 1471 1328.8 0 1471 4 46 332.2 0 46