This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g ACGCGC -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 66.47 s (25 us/read; 2.37 M reads/minute). === Summary === Total reads processed: 2,630,299 Reads with adapters: 378,563 (14.4%) Reads that were too short: 357,108 (13.6%) Reads written (passing filters): 21,455 (0.8%) Total basepairs processed: 791,719,999 bp Total written (filtered): 4,760,158 bp (0.6%) === Adapter 1 === Sequence: ACGCGC; Type: regular 5'; Length: 6; Trimmed: 378563 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 244 642.2 0 244 7 57 642.2 0 57 8 81 642.2 0 81 9 153 642.2 0 153 10 9299 642.2 0 9299 11 39 642.2 0 39 12 24 642.2 0 24 13 28 642.2 0 28 14 32 642.2 0 32 15 32 642.2 0 32 16 20 642.2 0 20 17 24 642.2 0 24 18 25 642.2 0 25 19 37 642.2 0 37 20 31 642.2 0 31 21 55 642.2 0 55 22 33 642.2 0 33 23 27 642.2 0 27 24 21 642.2 0 21 25 20 642.2 0 20 26 28 642.2 0 28 27 23 642.2 0 23 28 21 642.2 0 21 29 26 642.2 0 26 30 20 642.2 0 20 31 15 642.2 0 15 32 20 642.2 0 20 33 35 642.2 0 35 34 25 642.2 0 25 35 44 642.2 0 44 36 34 642.2 0 34 37 31 642.2 0 31 38 27 642.2 0 27 39 37 642.2 0 37 40 31 642.2 0 31 41 65 642.2 0 65 42 35 642.2 0 35 43 32 642.2 0 32 44 24 642.2 0 24 45 47 642.2 0 47 46 30 642.2 0 30 47 28 642.2 0 28 48 18 642.2 0 18 49 61 642.2 0 61 50 30 642.2 0 30 51 26 642.2 0 26 52 36 642.2 0 36 53 72 642.2 0 72 54 50 642.2 0 50 55 46 642.2 0 46 56 41 642.2 0 41 57 34 642.2 0 34 58 16 642.2 0 16 59 35 642.2 0 35 60 34 642.2 0 34 61 41 642.2 0 41 62 36 642.2 0 36 63 41 642.2 0 41 64 33 642.2 0 33 65 35 642.2 0 35 66 29 642.2 0 29 67 27 642.2 0 27 68 18 642.2 0 18 69 37 642.2 0 37 70 34 642.2 0 34 71 30 642.2 0 30 72 54 642.2 0 54 73 33 642.2 0 33 74 63 642.2 0 63 75 34 642.2 0 34 76 26 642.2 0 26 77 38 642.2 0 38 78 34 642.2 0 34 79 27 642.2 0 27 80 29 642.2 0 29 81 31 642.2 0 31 82 32 642.2 0 32 83 43 642.2 0 43 84 45 642.2 0 45 85 45 642.2 0 45 86 57 642.2 0 57 87 29 642.2 0 29 88 23 642.2 0 23 89 27 642.2 0 27 90 30 642.2 0 30 91 29 642.2 0 29 92 19 642.2 0 19 93 29 642.2 0 29 94 29 642.2 0 29 95 41 642.2 0 41 96 28 642.2 0 28 97 29 642.2 0 29 98 25 642.2 0 25 99 30 642.2 0 30 100 20 642.2 0 20 101 30 642.2 0 30 102 32 642.2 0 32 103 33 642.2 0 33 104 26 642.2 0 26 105 31 642.2 0 31 106 24 642.2 0 24 107 35 642.2 0 35 108 47 642.2 0 47 109 30 642.2 0 30 110 28 642.2 0 28 111 30 642.2 0 30 112 47 642.2 0 47 113 35 642.2 0 35 114 47 642.2 0 47 115 36 642.2 0 36 116 65 642.2 0 65 117 41 642.2 0 41 118 31 642.2 0 31 119 51 642.2 0 51 120 39 642.2 0 39 121 40 642.2 0 40 122 72 642.2 0 72 123 67 642.2 0 67 124 49 642.2 0 49 125 121 642.2 0 121 126 60 642.2 0 60 127 52 642.2 0 52 128 44 642.2 0 44 129 47 642.2 0 47 130 41 642.2 0 41 131 40 642.2 0 40 132 38 642.2 0 38 133 34 642.2 0 34 134 28 642.2 0 28 135 42 642.2 0 42 136 33 642.2 0 33 137 50 642.2 0 50 138 66 642.2 0 66 139 47 642.2 0 47 140 40 642.2 0 40 141 85 642.2 0 85 142 58 642.2 0 58 143 71 642.2 0 71 144 40 642.2 0 40 145 40 642.2 0 40 146 57 642.2 0 57 147 45 642.2 0 45 148 44 642.2 0 44 149 86 642.2 0 86 150 113 642.2 0 113 151 126 642.2 0 126 152 85 642.2 0 85 153 66 642.2 0 66 154 66 642.2 0 66 155 62 642.2 0 62 156 57 642.2 0 57 157 38 642.2 0 38 158 40 642.2 0 40 159 46 642.2 0 46 160 77 642.2 0 77 161 61 642.2 0 61 162 103 642.2 0 103 163 45 642.2 0 45 164 70 642.2 0 70 165 224 642.2 0 224 166 141 642.2 0 141 167 317 642.2 0 317 168 126 642.2 0 126 169 50 642.2 0 50 170 49 642.2 0 49 171 51 642.2 0 51 172 42 642.2 0 42 173 73 642.2 0 73 174 51 642.2 0 51 175 50 642.2 0 50 176 65 642.2 0 65 177 58 642.2 0 58 178 71 642.2 0 71 179 93 642.2 0 93 180 59 642.2 0 59 181 64 642.2 0 64 182 88 642.2 0 88 183 39 642.2 0 39 184 81 642.2 0 81 185 350 642.2 0 350 186 292 642.2 0 292 187 737 642.2 0 737 188 645 642.2 0 645 189 585 642.2 0 585 190 52 642.2 0 52 191 50 642.2 0 50 192 43 642.2 0 43 193 75 642.2 0 75 194 53 642.2 0 53 195 29 642.2 0 29 196 49 642.2 0 49 197 52 642.2 0 52 198 61 642.2 0 61 199 99 642.2 0 99 200 263 642.2 0 263 201 99 642.2 0 99 202 55 642.2 0 55 203 70 642.2 0 70 204 64 642.2 0 64 205 32 642.2 0 32 206 40 642.2 0 40 207 94 642.2 0 94 208 46 642.2 0 46 209 77 642.2 0 77 210 503 642.2 0 503 211 51 642.2 0 51 212 41 642.2 0 41 213 51 642.2 0 51 214 42 642.2 0 42 215 42 642.2 0 42 216 46 642.2 0 46 217 129 642.2 0 129 218 159 642.2 0 159 219 343 642.2 0 343 220 1104 642.2 0 1104 221 1231 642.2 0 1231 222 2901 642.2 0 2901 223 2128 642.2 0 2128 224 1063 642.2 0 1063 225 313 642.2 0 313 226 160 642.2 0 160 227 324 642.2 0 324 228 220 642.2 0 220 229 213 642.2 0 213 230 323 642.2 0 323 231 366 642.2 0 366 232 758 642.2 0 758 233 1033 642.2 0 1033 234 1673 642.2 0 1673 235 2225 642.2 0 2225 236 12173 642.2 0 12173 237 138774 642.2 0 138774 238 67155 642.2 0 67155 239 105193 642.2 0 105193 240 2970 642.2 0 2970 241 652 642.2 0 652 242 161 642.2 0 161 243 79 642.2 0 79 244 99 642.2 0 99 245 693 642.2 0 693 246 1396 642.2 0 1396 247 2140 642.2 0 2140 248 1531 642.2 0 1531 249 464 642.2 0 464 250 312 642.2 0 312 251 122 642.2 0 122 252 42 642.2 0 42 253 42 642.2 0 42 254 28 642.2 0 28 255 38 642.2 0 38 256 25 642.2 0 25 257 39 642.2 0 39 258 36 642.2 0 36 259 25 642.2 0 25 260 59 642.2 0 59 261 63 642.2 0 63 262 86 642.2 0 86 263 33 642.2 0 33 264 34 642.2 0 34 265 31 642.2 0 31 266 56 642.2 0 56 267 94 642.2 0 94 268 269 642.2 0 269 269 233 642.2 0 233 270 187 642.2 0 187 271 144 642.2 0 144 272 59 642.2 0 59 273 59 642.2 0 59 274 77 642.2 0 77 275 72 642.2 0 72 276 64 642.2 0 64 277 99 642.2 0 99 278 121 642.2 0 121 279 43 642.2 0 43 280 74 642.2 0 74 281 247 642.2 0 247 282 97 642.2 0 97 283 292 642.2 0 292 284 57 642.2 0 57 285 62 642.2 0 62 286 89 642.2 0 89 287 162 642.2 0 162 288 258 642.2 0 258 289 202 642.2 0 202 290 166 642.2 0 166 291 144 642.2 0 144 292 96 642.2 0 96 293 52 642.2 0 52 294 283 642.2 0 283 295 161 642.2 0 161 296 349 642.2 0 349 297 104 642.2 0 104 298 44 642.2 0 44 299 53 642.2 0 53 300 48 642.2 0 48 301 76 642.2 0 76 Finished in 0.87 s (41 us/read; 1.48 M reads/minute). === Summary === Total reads processed: 21,455 Reads with adapters: 286 (1.3%) Reads that were too short: 27 (0.1%) Reads written (passing filters): 259 (1.2%) Total basepairs processed: 4,760,158 bp Total written (filtered): 56,201 bp (1.2%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 286 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 17 1 0.0 3 0 1 18 3 0.0 3 3 19 1 0.0 3 0 1 20 148 0.0 3 144 4 21 5 0.0 3 0 0 0 5 24 1 0.0 3 0 0 0 1 32 47 0.0 3 0 0 0 47 33 1 0.0 3 0 0 0 1 48 6 0.0 3 0 0 0 6 51 1 0.0 3 0 0 0 1 57 1 0.0 3 0 0 0 1 65 1 0.0 3 0 0 0 1 85 1 0.0 3 0 0 0 1 92 1 0.0 3 0 0 0 1 107 3 0.0 3 0 0 0 3 108 1 0.0 3 0 0 0 1 114 2 0.0 3 0 0 0 2 118 2 0.0 3 0 0 0 2 121 1 0.0 3 0 0 0 1 130 1 0.0 3 0 0 0 1 136 1 0.0 3 0 0 0 1 156 1 0.0 3 0 0 0 1 158 3 0.0 3 0 0 0 3 160 1 0.0 3 0 0 0 1 163 1 0.0 3 0 0 0 1 164 13 0.0 3 0 0 0 13 167 1 0.0 3 0 0 0 1 169 1 0.0 3 0 0 0 1 172 1 0.0 3 0 0 0 1 181 1 0.0 3 0 0 0 1 182 1 0.0 3 0 0 0 1 183 17 0.0 3 0 0 0 17 184 1 0.0 3 0 0 0 1 186 3 0.0 3 0 0 0 3 217 1 0.0 3 0 0 0 1 222 1 0.0 3 0 0 0 1 236 1 0.0 3 0 0 0 1 243 1 0.0 3 0 0 0 1 247 1 0.0 3 0 0 0 1 276 4 0.0 3 0 0 1 3 279 1 0.0 3 0 0 0 1 284 1 0.0 3 0 0 0 1 285 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 0.01 s (39 us/read; 1.55 M reads/minute). === Summary === Total reads processed: 259 Reads with adapters: 13 (5.0%) Reads written (passing filters): 259 (100.0%) Total basepairs processed: 56,201 bp Total written (filtered): 56,160 bp (99.9%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 13 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 76.9% C: 0.0% G: 7.7% T: 15.4% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 11 4.0 0 11 4 2 1.0 0 2