This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g AGCTGG -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 178.16 s (33 us/read; 1.80 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 53,426 (1.0%) Reads that were too short: 21,465 (0.4%) Reads written (passing filters): 31,961 (0.6%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 6,623,119 bp (0.4%) === Adapter 1 === Sequence: AGCTGG; Type: regular 5'; Length: 6; Trimmed: 53426 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 141 1302.2 0 141 7 7255 1302.2 0 7255 8 45 1302.2 0 45 9 191 1302.2 0 191 10 37 1302.2 0 37 11 127 1302.2 0 127 12 26 1302.2 0 26 13 26 1302.2 0 26 14 76 1302.2 0 76 15 30 1302.2 0 30 16 22 1302.2 0 22 17 16 1302.2 0 16 18 34 1302.2 0 34 19 13 1302.2 0 13 20 38 1302.2 0 38 21 31 1302.2 0 31 22 13 1302.2 0 13 23 25 1302.2 0 25 24 22 1302.2 0 22 25 24 1302.2 0 24 26 19 1302.2 0 19 27 23 1302.2 0 23 28 15 1302.2 0 15 29 22 1302.2 0 22 30 28 1302.2 0 28 31 28 1302.2 0 28 32 28 1302.2 0 28 33 24 1302.2 0 24 34 34 1302.2 0 34 35 18 1302.2 0 18 36 33 1302.2 0 33 37 21 1302.2 0 21 38 26 1302.2 0 26 39 64 1302.2 0 64 40 54 1302.2 0 54 41 34 1302.2 0 34 42 21 1302.2 0 21 43 93 1302.2 0 93 44 36 1302.2 0 36 45 29 1302.2 0 29 46 17 1302.2 0 17 47 18 1302.2 0 18 48 26 1302.2 0 26 49 35 1302.2 0 35 50 43 1302.2 0 43 51 65 1302.2 0 65 52 158 1302.2 0 158 53 46 1302.2 0 46 54 66 1302.2 0 66 55 321 1302.2 0 321 56 340 1302.2 0 340 57 196 1302.2 0 196 58 140 1302.2 0 140 59 48 1302.2 0 48 60 18 1302.2 0 18 61 24 1302.2 0 24 62 50 1302.2 0 50 63 29 1302.2 0 29 64 26 1302.2 0 26 65 12 1302.2 0 12 66 15 1302.2 0 15 67 20 1302.2 0 20 68 18 1302.2 0 18 69 27 1302.2 0 27 70 22 1302.2 0 22 71 24 1302.2 0 24 72 24 1302.2 0 24 73 23 1302.2 0 23 74 28 1302.2 0 28 75 28 1302.2 0 28 76 30 1302.2 0 30 77 43 1302.2 0 43 78 55 1302.2 0 55 79 424 1302.2 0 424 80 229 1302.2 0 229 81 251 1302.2 0 251 82 98 1302.2 0 98 83 1082 1302.2 0 1082 84 400 1302.2 0 400 85 1092 1302.2 0 1092 86 62 1302.2 0 62 87 31 1302.2 0 31 88 27 1302.2 0 27 89 21 1302.2 0 21 90 64 1302.2 0 64 91 47 1302.2 0 47 92 33 1302.2 0 33 93 88 1302.2 0 88 94 89 1302.2 0 89 95 51 1302.2 0 51 96 40 1302.2 0 40 97 32 1302.2 0 32 98 28 1302.2 0 28 99 37 1302.2 0 37 100 59 1302.2 0 59 101 37 1302.2 0 37 102 36 1302.2 0 36 103 41 1302.2 0 41 104 30 1302.2 0 30 105 40 1302.2 0 40 106 23 1302.2 0 23 107 24 1302.2 0 24 108 40 1302.2 0 40 109 34 1302.2 0 34 110 50 1302.2 0 50 111 53 1302.2 0 53 112 64 1302.2 0 64 113 617 1302.2 0 617 114 1951 1302.2 0 1951 115 1989 1302.2 0 1989 116 30 1302.2 0 30 117 26 1302.2 0 26 118 27 1302.2 0 27 119 41 1302.2 0 41 120 36 1302.2 0 36 121 32 1302.2 0 32 122 62 1302.2 0 62 123 37 1302.2 0 37 124 42 1302.2 0 42 125 48 1302.2 0 48 126 37 1302.2 0 37 127 27 1302.2 0 27 128 41 1302.2 0 41 129 52 1302.2 0 52 130 144 1302.2 0 144 131 141 1302.2 0 141 132 50 1302.2 0 50 133 42 1302.2 0 42 134 43 1302.2 0 43 135 95 1302.2 0 95 136 76 1302.2 0 76 137 80 1302.2 0 80 138 67 1302.2 0 67 139 63 1302.2 0 63 140 69 1302.2 0 69 141 57 1302.2 0 57 142 56 1302.2 0 56 143 71 1302.2 0 71 144 74 1302.2 0 74 145 71 1302.2 0 71 146 52 1302.2 0 52 147 31 1302.2 0 31 148 74 1302.2 0 74 149 69 1302.2 0 69 150 37 1302.2 0 37 151 45 1302.2 0 45 152 65 1302.2 0 65 153 96 1302.2 0 96 154 238 1302.2 0 238 155 3884 1302.2 0 3884 156 630 1302.2 0 630 157 1415 1302.2 0 1415 158 191 1302.2 0 191 159 54 1302.2 0 54 160 41 1302.2 0 41 161 39 1302.2 0 39 162 46 1302.2 0 46 163 72 1302.2 0 72 164 73 1302.2 0 73 165 72 1302.2 0 72 166 85 1302.2 0 85 167 279 1302.2 0 279 168 196 1302.2 0 196 169 676 1302.2 0 676 170 44 1302.2 0 44 171 37 1302.2 0 37 172 42 1302.2 0 42 173 33 1302.2 0 33 174 45 1302.2 0 45 175 21 1302.2 0 21 176 17 1302.2 0 17 177 33 1302.2 0 33 178 38 1302.2 0 38 179 56 1302.2 0 56 180 82 1302.2 0 82 181 59 1302.2 0 59 182 44 1302.2 0 44 183 42 1302.2 0 42 184 67 1302.2 0 67 185 41 1302.2 0 41 186 28 1302.2 0 28 187 26 1302.2 0 26 188 24 1302.2 0 24 189 26 1302.2 0 26 190 71 1302.2 0 71 191 57 1302.2 0 57 192 72 1302.2 0 72 193 30 1302.2 0 30 194 26 1302.2 0 26 195 31 1302.2 0 31 196 28 1302.2 0 28 197 33 1302.2 0 33 198 64 1302.2 0 64 199 42 1302.2 0 42 200 152 1302.2 0 152 201 162 1302.2 0 162 202 117 1302.2 0 117 203 79 1302.2 0 79 204 99 1302.2 0 99 205 37 1302.2 0 37 206 25 1302.2 0 25 207 27 1302.2 0 27 208 28 1302.2 0 28 209 40 1302.2 0 40 210 68 1302.2 0 68 211 96 1302.2 0 96 212 138 1302.2 0 138 213 174 1302.2 0 174 214 58 1302.2 0 58 215 51 1302.2 0 51 216 82 1302.2 0 82 217 97 1302.2 0 97 218 72 1302.2 0 72 219 29 1302.2 0 29 220 23 1302.2 0 23 221 26 1302.2 0 26 222 31 1302.2 0 31 223 56 1302.2 0 56 224 97 1302.2 0 97 225 88 1302.2 0 88 226 75 1302.2 0 75 227 79 1302.2 0 79 228 50 1302.2 0 50 229 67 1302.2 0 67 230 62 1302.2 0 62 231 38 1302.2 0 38 232 63 1302.2 0 63 233 50 1302.2 0 50 234 54 1302.2 0 54 235 46 1302.2 0 46 236 51 1302.2 0 51 237 38 1302.2 0 38 238 20 1302.2 0 20 239 12 1302.2 0 12 240 15 1302.2 0 15 241 24 1302.2 0 24 242 33 1302.2 0 33 243 35 1302.2 0 35 244 45 1302.2 0 45 245 52 1302.2 0 52 246 24 1302.2 0 24 247 26 1302.2 0 26 248 21 1302.2 0 21 249 19 1302.2 0 19 250 19 1302.2 0 19 251 85 1302.2 0 85 252 106 1302.2 0 106 253 113 1302.2 0 113 254 130 1302.2 0 130 255 283 1302.2 0 283 256 282 1302.2 0 282 257 76 1302.2 0 76 258 21 1302.2 0 21 259 12 1302.2 0 12 260 13 1302.2 0 13 261 21 1302.2 0 21 262 13 1302.2 0 13 263 49 1302.2 0 49 264 61 1302.2 0 61 265 69 1302.2 0 69 266 72 1302.2 0 72 267 25 1302.2 0 25 268 11 1302.2 0 11 269 29 1302.2 0 29 270 29 1302.2 0 29 271 82 1302.2 0 82 272 45 1302.2 0 45 273 44 1302.2 0 44 274 41 1302.2 0 41 275 19 1302.2 0 19 276 32 1302.2 0 32 277 29 1302.2 0 29 278 46 1302.2 0 46 279 82 1302.2 0 82 280 39 1302.2 0 39 281 43 1302.2 0 43 282 22 1302.2 0 22 283 39 1302.2 0 39 284 98 1302.2 0 98 285 61 1302.2 0 61 286 50 1302.2 0 50 287 32 1302.2 0 32 288 34 1302.2 0 34 289 62 1302.2 0 62 290 75 1302.2 0 75 291 149 1302.2 0 149 292 241 1302.2 0 241 293 195 1302.2 0 195 294 200 1302.2 0 200 295 263 1302.2 0 263 296 1443 1302.2 0 1443 297 2763 1302.2 0 2763 298 4744 1302.2 0 4744 299 3752 1302.2 0 3752 300 2553 1302.2 0 2553 301 31 1302.2 0 31 Finished in 1.46 s (46 us/read; 1.31 M reads/minute). === Summary === Total reads processed: 31,961 Reads with adapters: 7,137 (22.3%) Reads that were too short: 19 (0.1%) Reads written (passing filters): 7,118 (22.3%) Total basepairs processed: 6,623,119 bp Total written (filtered): 1,963,169 bp (29.6%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 7137 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 3 0.0 2 0 0 0 3 15 1 0.0 3 0 0 1 16 73 0.0 3 0 36 3 34 17 6786 0.0 3 6556 182 35 13 18 96 0.0 3 0 14 77 5 19 96 0.0 3 1 0 15 80 20 9 0.0 3 0 0 0 9 21 1 0.0 3 1 30 2 0.0 3 0 0 0 2 32 40 0.0 3 0 0 0 40 35 4 0.0 3 0 0 0 4 37 2 0.0 3 0 0 0 2 56 1 0.0 3 0 0 0 1 58 3 0.0 3 0 0 0 3 70 1 0.0 3 0 0 0 1 73 1 0.0 3 0 0 0 1 94 2 0.0 3 0 0 0 2 96 1 0.0 3 0 0 0 1 104 1 0.0 3 0 0 0 1 110 1 0.0 3 0 0 0 1 124 1 0.0 3 0 0 0 1 135 2 0.0 3 0 0 0 2 136 1 0.0 3 0 0 0 1 141 1 0.0 3 0 0 0 1 143 1 0.0 3 0 0 0 1 148 1 0.0 3 0 0 0 1 150 1 0.0 3 0 0 0 1 155 1 0.0 3 0 0 0 1 178 1 0.0 3 0 0 0 1 182 1 0.0 3 0 0 0 1 200 1 0.0 3 0 0 0 1 255 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 0.32 s (45 us/read; 1.33 M reads/minute). === Summary === Total reads processed: 7,118 Reads with adapters: 547 (7.7%) Reads written (passing filters): 7,118 (100.0%) Total basepairs processed: 1,963,169 bp Total written (filtered): 1,961,464 bp (99.9%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 547 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 27.2% C: 45.0% G: 14.4% T: 13.3% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 489 111.2 0 489 4 55 27.8 0 55 5 2 7.0 0 2 8 1 0.1 0 1