This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g CGCGAT -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 162.87 s (31 us/read; 1.96 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 70,220 (1.3%) Reads that were too short: 8,598 (0.2%) Reads written (passing filters): 61,622 (1.2%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 14,797,034 bp (0.9%) === Adapter 1 === Sequence: CGCGAT; Type: regular 5'; Length: 6; Trimmed: 70220 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 671 1302.2 0 671 7 577 1302.2 0 577 8 768 1302.2 0 768 9 39359 1302.2 0 39359 10 52 1302.2 0 52 11 24 1302.2 0 24 12 25 1302.2 0 25 13 24 1302.2 0 24 14 32 1302.2 0 32 15 13 1302.2 0 13 16 26 1302.2 0 26 17 30 1302.2 0 30 18 36 1302.2 0 36 19 16 1302.2 0 16 20 19 1302.2 0 19 21 22 1302.2 0 22 22 20 1302.2 0 20 23 25 1302.2 0 25 24 18 1302.2 0 18 25 20 1302.2 0 20 26 17 1302.2 0 17 27 22 1302.2 0 22 28 30 1302.2 0 30 29 22 1302.2 0 22 30 19 1302.2 0 19 31 20 1302.2 0 20 32 17 1302.2 0 17 33 28 1302.2 0 28 34 24 1302.2 0 24 35 24 1302.2 0 24 36 22 1302.2 0 22 37 249 1302.2 0 249 38 32 1302.2 0 32 39 24 1302.2 0 24 40 97 1302.2 0 97 41 26 1302.2 0 26 42 52 1302.2 0 52 43 49 1302.2 0 49 44 38 1302.2 0 38 45 18 1302.2 0 18 46 16 1302.2 0 16 47 23 1302.2 0 23 48 23 1302.2 0 23 49 16 1302.2 0 16 50 23 1302.2 0 23 51 13 1302.2 0 13 52 17 1302.2 0 17 53 17 1302.2 0 17 54 38 1302.2 0 38 55 13 1302.2 0 13 56 23 1302.2 0 23 57 26 1302.2 0 26 58 23 1302.2 0 23 59 21 1302.2 0 21 60 9 1302.2 0 9 61 11 1302.2 0 11 62 15 1302.2 0 15 63 8 1302.2 0 8 64 13 1302.2 0 13 65 15 1302.2 0 15 66 18 1302.2 0 18 67 11 1302.2 0 11 68 14 1302.2 0 14 69 13 1302.2 0 13 70 8 1302.2 0 8 71 15 1302.2 0 15 72 17 1302.2 0 17 73 14 1302.2 0 14 74 21 1302.2 0 21 75 22 1302.2 0 22 76 13 1302.2 0 13 77 13 1302.2 0 13 78 9 1302.2 0 9 79 10 1302.2 0 10 80 14 1302.2 0 14 81 43 1302.2 0 43 82 13 1302.2 0 13 83 20 1302.2 0 20 84 14 1302.2 0 14 85 21 1302.2 0 21 86 23 1302.2 0 23 87 15 1302.2 0 15 88 11 1302.2 0 11 89 13 1302.2 0 13 90 11 1302.2 0 11 91 23 1302.2 0 23 92 256 1302.2 0 256 93 34 1302.2 0 34 94 167 1302.2 0 167 95 33 1302.2 0 33 96 99 1302.2 0 99 97 23 1302.2 0 23 98 9 1302.2 0 9 99 12 1302.2 0 12 100 19 1302.2 0 19 101 27 1302.2 0 27 102 17 1302.2 0 17 103 27 1302.2 0 27 104 18 1302.2 0 18 105 15 1302.2 0 15 106 12 1302.2 0 12 107 17 1302.2 0 17 108 25 1302.2 0 25 109 12 1302.2 0 12 110 23 1302.2 0 23 111 15 1302.2 0 15 112 20 1302.2 0 20 113 91 1302.2 0 91 114 28 1302.2 0 28 115 29 1302.2 0 29 116 9 1302.2 0 9 117 40 1302.2 0 40 118 27 1302.2 0 27 119 55 1302.2 0 55 120 59 1302.2 0 59 121 58 1302.2 0 58 122 38 1302.2 0 38 123 87 1302.2 0 87 124 524 1302.2 0 524 125 78 1302.2 0 78 126 26 1302.2 0 26 127 52 1302.2 0 52 128 34 1302.2 0 34 129 32 1302.2 0 32 130 106 1302.2 0 106 131 47 1302.2 0 47 132 41 1302.2 0 41 133 34 1302.2 0 34 134 34 1302.2 0 34 135 29 1302.2 0 29 136 31 1302.2 0 31 137 39 1302.2 0 39 138 40 1302.2 0 40 139 34 1302.2 0 34 140 27 1302.2 0 27 141 54 1302.2 0 54 142 26 1302.2 0 26 143 16 1302.2 0 16 144 21 1302.2 0 21 145 15 1302.2 0 15 146 47 1302.2 0 47 147 20 1302.2 0 20 148 27 1302.2 0 27 149 9 1302.2 0 9 150 17 1302.2 0 17 151 14 1302.2 0 14 152 15 1302.2 0 15 153 11 1302.2 0 11 154 19 1302.2 0 19 155 23 1302.2 0 23 156 28 1302.2 0 28 157 21 1302.2 0 21 158 119 1302.2 0 119 159 40 1302.2 0 40 160 66 1302.2 0 66 161 51 1302.2 0 51 162 39 1302.2 0 39 163 39 1302.2 0 39 164 34 1302.2 0 34 165 66 1302.2 0 66 166 73 1302.2 0 73 167 77 1302.2 0 77 168 63 1302.2 0 63 169 52 1302.2 0 52 170 90 1302.2 0 90 171 40 1302.2 0 40 172 168 1302.2 0 168 173 104 1302.2 0 104 174 549 1302.2 0 549 175 533 1302.2 0 533 176 184 1302.2 0 184 177 122 1302.2 0 122 178 86 1302.2 0 86 179 174 1302.2 0 174 180 376 1302.2 0 376 181 382 1302.2 0 382 182 141 1302.2 0 141 183 65 1302.2 0 65 184 92 1302.2 0 92 185 71 1302.2 0 71 186 115 1302.2 0 115 187 66 1302.2 0 66 188 88 1302.2 0 88 189 31 1302.2 0 31 190 25 1302.2 0 25 191 52 1302.2 0 52 192 176 1302.2 0 176 193 145 1302.2 0 145 194 552 1302.2 0 552 195 221 1302.2 0 221 196 43 1302.2 0 43 197 44 1302.2 0 44 198 377 1302.2 0 377 199 3386 1302.2 0 3386 200 5824 1302.2 0 5824 201 200 1302.2 0 200 202 36 1302.2 0 36 203 22 1302.2 0 22 204 38 1302.2 0 38 205 65 1302.2 0 65 206 118 1302.2 0 118 207 59 1302.2 0 59 208 45 1302.2 0 45 209 34 1302.2 0 34 210 29 1302.2 0 29 211 28 1302.2 0 28 212 53 1302.2 0 53 213 49 1302.2 0 49 214 65 1302.2 0 65 215 44 1302.2 0 44 216 65 1302.2 0 65 217 52 1302.2 0 52 218 69 1302.2 0 69 219 199 1302.2 0 199 220 462 1302.2 0 462 221 167 1302.2 0 167 222 67 1302.2 0 67 223 46 1302.2 0 46 224 56 1302.2 0 56 225 83 1302.2 0 83 226 78 1302.2 0 78 227 70 1302.2 0 70 228 115 1302.2 0 115 229 70 1302.2 0 70 230 46 1302.2 0 46 231 39 1302.2 0 39 232 31 1302.2 0 31 233 24 1302.2 0 24 234 15 1302.2 0 15 235 39 1302.2 0 39 236 60 1302.2 0 60 237 71 1302.2 0 71 238 327 1302.2 0 327 239 327 1302.2 0 327 240 1449 1302.2 0 1449 241 297 1302.2 0 297 242 192 1302.2 0 192 243 29 1302.2 0 29 244 25 1302.2 0 25 245 52 1302.2 0 52 246 101 1302.2 0 101 247 140 1302.2 0 140 248 163 1302.2 0 163 249 100 1302.2 0 100 250 32 1302.2 0 32 251 23 1302.2 0 23 252 31 1302.2 0 31 253 35 1302.2 0 35 254 69 1302.2 0 69 255 55 1302.2 0 55 256 121 1302.2 0 121 257 254 1302.2 0 254 258 308 1302.2 0 308 259 41 1302.2 0 41 260 26 1302.2 0 26 261 20 1302.2 0 20 262 21 1302.2 0 21 263 145 1302.2 0 145 264 35 1302.2 0 35 265 42 1302.2 0 42 266 59 1302.2 0 59 267 97 1302.2 0 97 268 79 1302.2 0 79 269 62 1302.2 0 62 270 23 1302.2 0 23 271 23 1302.2 0 23 272 18 1302.2 0 18 273 32 1302.2 0 32 274 32 1302.2 0 32 275 59 1302.2 0 59 276 43 1302.2 0 43 277 27 1302.2 0 27 278 19 1302.2 0 19 279 34 1302.2 0 34 280 75 1302.2 0 75 281 41 1302.2 0 41 282 30 1302.2 0 30 283 27 1302.2 0 27 284 47 1302.2 0 47 285 77 1302.2 0 77 286 116 1302.2 0 116 287 83 1302.2 0 83 288 97 1302.2 0 97 289 50 1302.2 0 50 290 40 1302.2 0 40 291 29 1302.2 0 29 292 32 1302.2 0 32 293 49 1302.2 0 49 294 34 1302.2 0 34 295 21 1302.2 0 21 296 7 1302.2 0 7 297 13 1302.2 0 13 298 10 1302.2 0 10 299 8 1302.2 0 8 300 16 1302.2 0 16 301 20 1302.2 0 20 Finished in 2.69 s (44 us/read; 1.37 M reads/minute). === Summary === Total reads processed: 61,622 Reads with adapters: 40,995 (66.5%) Reads that were too short: 17 (0.0%) Reads written (passing filters): 40,978 (66.5%) Total basepairs processed: 14,797,034 bp Total written (filtered): 11,270,200 bp (76.2%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 40995 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 9 0.0 2 0 0 0 9 15 16 0.0 3 0 0 14 2 16 340 0.0 3 0 330 7 3 17 39912 0.0 3 39119 769 21 3 18 165 0.0 3 5 65 89 6 19 116 0.0 3 0 3 36 77 20 409 0.0 3 374 9 0 26 21 4 0.0 3 0 2 1 1 22 1 0.0 3 0 0 0 1 30 1 0.0 3 0 0 0 1 60 1 0.0 3 0 0 0 1 62 1 0.0 3 0 0 0 1 63 1 0.0 3 0 0 0 1 81 1 0.0 3 0 0 0 1 94 4 0.0 3 0 0 0 4 95 5 0.0 3 0 0 0 5 105 5 0.0 3 0 0 0 5 106 1 0.0 3 0 0 0 1 114 1 0.0 3 0 0 0 1 129 1 0.0 3 0 0 0 1 268 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 1.86 s (45 us/read; 1.32 M reads/minute). === Summary === Total reads processed: 40,978 Reads with adapters: 3,362 (8.2%) Reads written (passing filters): 40,978 (100.0%) Total basepairs processed: 11,270,200 bp Total written (filtered): 11,260,094 bp (99.9%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 3362 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 52.1% C: 6.0% G: 41.1% T: 0.8% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 3342 640.3 0 3342 4 20 160.1 0 20