This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g GTATGT -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 161.42 s (30 us/read; 1.98 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 102,948 (1.9%) Reads that were too short: 21,458 (0.4%) Reads written (passing filters): 81,490 (1.5%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 21,549,774 bp (1.3%) === Adapter 1 === Sequence: GTATGT; Type: regular 5'; Length: 6; Trimmed: 102948 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 562 1302.2 0 562 7 805 1302.2 0 805 8 53841 1302.2 0 53841 9 125 1302.2 0 125 10 12 1302.2 0 12 11 8 1302.2 0 8 12 10 1302.2 0 10 13 7 1302.2 0 7 14 11 1302.2 0 11 15 8 1302.2 0 8 16 11 1302.2 0 11 17 11 1302.2 0 11 18 15 1302.2 0 15 19 17 1302.2 0 17 20 14 1302.2 0 14 21 11 1302.2 0 11 22 17 1302.2 0 17 23 10 1302.2 0 10 24 20 1302.2 0 20 25 12 1302.2 0 12 26 15 1302.2 0 15 27 7 1302.2 0 7 28 15 1302.2 0 15 29 11 1302.2 0 11 30 6 1302.2 0 6 31 6 1302.2 0 6 32 6 1302.2 0 6 33 9 1302.2 0 9 34 14 1302.2 0 14 35 10 1302.2 0 10 36 10 1302.2 0 10 37 10 1302.2 0 10 38 12 1302.2 0 12 39 17 1302.2 0 17 40 16 1302.2 0 16 41 10 1302.2 0 10 42 13 1302.2 0 13 43 12 1302.2 0 12 44 12 1302.2 0 12 45 14 1302.2 0 14 46 16 1302.2 0 16 47 93 1302.2 0 93 48 40 1302.2 0 40 49 11867 1302.2 0 11867 50 84 1302.2 0 84 51 11 1302.2 0 11 52 10 1302.2 0 10 53 8 1302.2 0 8 54 5 1302.2 0 5 55 9 1302.2 0 9 56 7 1302.2 0 7 57 9 1302.2 0 9 58 13 1302.2 0 13 59 9 1302.2 0 9 60 2 1302.2 0 2 61 14 1302.2 0 14 62 7 1302.2 0 7 63 17 1302.2 0 17 64 16 1302.2 0 16 65 11 1302.2 0 11 66 13 1302.2 0 13 67 13 1302.2 0 13 68 17 1302.2 0 17 69 72 1302.2 0 72 70 20 1302.2 0 20 71 49 1302.2 0 49 72 13 1302.2 0 13 73 32 1302.2 0 32 74 16 1302.2 0 16 75 12 1302.2 0 12 76 22 1302.2 0 22 77 29 1302.2 0 29 78 55 1302.2 0 55 79 28 1302.2 0 28 80 173 1302.2 0 173 81 64 1302.2 0 64 82 253 1302.2 0 253 83 31 1302.2 0 31 84 12 1302.2 0 12 85 26 1302.2 0 26 86 16 1302.2 0 16 87 15 1302.2 0 15 88 20 1302.2 0 20 89 11 1302.2 0 11 90 19 1302.2 0 19 91 28 1302.2 0 28 92 42 1302.2 0 42 93 24 1302.2 0 24 94 33 1302.2 0 33 95 43 1302.2 0 43 96 321 1302.2 0 321 97 538 1302.2 0 538 98 1357 1302.2 0 1357 99 128 1302.2 0 128 100 42 1302.2 0 42 101 34 1302.2 0 34 102 37 1302.2 0 37 103 29 1302.2 0 29 104 34 1302.2 0 34 105 32 1302.2 0 32 106 13 1302.2 0 13 107 27 1302.2 0 27 108 113 1302.2 0 113 109 94 1302.2 0 94 110 50 1302.2 0 50 111 34 1302.2 0 34 112 51 1302.2 0 51 113 64 1302.2 0 64 114 133 1302.2 0 133 115 66 1302.2 0 66 116 42 1302.2 0 42 117 35 1302.2 0 35 118 26 1302.2 0 26 119 45 1302.2 0 45 120 89 1302.2 0 89 121 49 1302.2 0 49 122 53 1302.2 0 53 123 30 1302.2 0 30 124 49 1302.2 0 49 125 35 1302.2 0 35 126 32 1302.2 0 32 127 47 1302.2 0 47 128 63 1302.2 0 63 129 81 1302.2 0 81 130 208 1302.2 0 208 131 263 1302.2 0 263 132 190 1302.2 0 190 133 165 1302.2 0 165 134 231 1302.2 0 231 135 84 1302.2 0 84 136 76 1302.2 0 76 137 81 1302.2 0 81 138 75 1302.2 0 75 139 136 1302.2 0 136 140 46 1302.2 0 46 141 112 1302.2 0 112 142 65 1302.2 0 65 143 81 1302.2 0 81 144 55 1302.2 0 55 145 34 1302.2 0 34 146 47 1302.2 0 47 147 41 1302.2 0 41 148 69 1302.2 0 69 149 138 1302.2 0 138 150 201 1302.2 0 201 151 31 1302.2 0 31 152 17 1302.2 0 17 153 32 1302.2 0 32 154 62 1302.2 0 62 155 56 1302.2 0 56 156 93 1302.2 0 93 157 42 1302.2 0 42 158 66 1302.2 0 66 159 72 1302.2 0 72 160 53 1302.2 0 53 161 61 1302.2 0 61 162 62 1302.2 0 62 163 74 1302.2 0 74 164 117 1302.2 0 117 165 55 1302.2 0 55 166 89 1302.2 0 89 167 94 1302.2 0 94 168 169 1302.2 0 169 169 77 1302.2 0 77 170 70 1302.2 0 70 171 43 1302.2 0 43 172 99 1302.2 0 99 173 48 1302.2 0 48 174 47 1302.2 0 47 175 56 1302.2 0 56 176 88 1302.2 0 88 177 40 1302.2 0 40 178 98 1302.2 0 98 179 68 1302.2 0 68 180 46 1302.2 0 46 181 87 1302.2 0 87 182 104 1302.2 0 104 183 179 1302.2 0 179 184 222 1302.2 0 222 185 197 1302.2 0 197 186 161 1302.2 0 161 187 95 1302.2 0 95 188 268 1302.2 0 268 189 1329 1302.2 0 1329 190 532 1302.2 0 532 191 133 1302.2 0 133 192 119 1302.2 0 119 193 59 1302.2 0 59 194 52 1302.2 0 52 195 60 1302.2 0 60 196 148 1302.2 0 148 197 64 1302.2 0 64 198 37 1302.2 0 37 199 37 1302.2 0 37 200 39 1302.2 0 39 201 71 1302.2 0 71 202 71 1302.2 0 71 203 56 1302.2 0 56 204 74 1302.2 0 74 205 92 1302.2 0 92 206 105 1302.2 0 105 207 109 1302.2 0 109 208 203 1302.2 0 203 209 324 1302.2 0 324 210 576 1302.2 0 576 211 1065 1302.2 0 1065 212 258 1302.2 0 258 213 138 1302.2 0 138 214 153 1302.2 0 153 215 148 1302.2 0 148 216 175 1302.2 0 175 217 140 1302.2 0 140 218 92 1302.2 0 92 219 80 1302.2 0 80 220 85 1302.2 0 85 221 120 1302.2 0 120 222 159 1302.2 0 159 223 95 1302.2 0 95 224 108 1302.2 0 108 225 303 1302.2 0 303 226 322 1302.2 0 322 227 218 1302.2 0 218 228 221 1302.2 0 221 229 167 1302.2 0 167 230 118 1302.2 0 118 231 109 1302.2 0 109 232 112 1302.2 0 112 233 243 1302.2 0 243 234 186 1302.2 0 186 235 213 1302.2 0 213 236 313 1302.2 0 313 237 186 1302.2 0 186 238 132 1302.2 0 132 239 84 1302.2 0 84 240 329 1302.2 0 329 241 796 1302.2 0 796 242 2079 1302.2 0 2079 243 339 1302.2 0 339 244 104 1302.2 0 104 245 125 1302.2 0 125 246 98 1302.2 0 98 247 67 1302.2 0 67 248 85 1302.2 0 85 249 331 1302.2 0 331 250 672 1302.2 0 672 251 878 1302.2 0 878 252 80 1302.2 0 80 253 222 1302.2 0 222 254 474 1302.2 0 474 255 739 1302.2 0 739 256 169 1302.2 0 169 257 104 1302.2 0 104 258 95 1302.2 0 95 259 103 1302.2 0 103 260 174 1302.2 0 174 261 268 1302.2 0 268 262 271 1302.2 0 271 263 112 1302.2 0 112 264 179 1302.2 0 179 265 234 1302.2 0 234 266 137 1302.2 0 137 267 93 1302.2 0 93 268 57 1302.2 0 57 269 379 1302.2 0 379 270 300 1302.2 0 300 271 433 1302.2 0 433 272 150 1302.2 0 150 273 152 1302.2 0 152 274 217 1302.2 0 217 275 150 1302.2 0 150 276 126 1302.2 0 126 277 147 1302.2 0 147 278 140 1302.2 0 140 279 96 1302.2 0 96 280 105 1302.2 0 105 281 137 1302.2 0 137 282 202 1302.2 0 202 283 184 1302.2 0 184 284 141 1302.2 0 141 285 122 1302.2 0 122 286 81 1302.2 0 81 287 54 1302.2 0 54 288 50 1302.2 0 50 289 126 1302.2 0 126 290 195 1302.2 0 195 291 90 1302.2 0 90 292 77 1302.2 0 77 293 42 1302.2 0 42 294 51 1302.2 0 51 295 69 1302.2 0 69 296 40 1302.2 0 40 297 58 1302.2 0 58 298 96 1302.2 0 96 299 181 1302.2 0 181 300 153 1302.2 0 153 301 147 1302.2 0 147 Finished in 3.76 s (46 us/read; 1.30 M reads/minute). === Summary === Total reads processed: 81,490 Reads with adapters: 54,922 (67.4%) Reads that were too short: 4 (0.0%) Reads written (passing filters): 54,918 (67.4%) Total basepairs processed: 21,549,774 bp Total written (filtered): 15,156,536 bp (70.3%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 54922 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 9 0.0 3 0 0 8 1 16 499 0.0 3 0 490 9 17 53740 0.0 3 53011 705 20 4 18 123 0.0 3 5 91 25 2 19 64 0.0 3 1 2 43 18 20 472 0.0 3 229 4 0 239 34 2 0.0 3 0 0 0 2 35 1 0.0 3 1 61 1 0.0 3 0 0 0 1 70 1 0.0 3 0 0 0 1 78 3 0.0 3 0 0 0 3 101 1 0.0 3 0 0 0 1 149 2 0.0 3 0 0 0 2 186 1 0.0 3 0 0 0 1 199 1 0.0 3 0 0 0 1 226 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 2.27 s (41 us/read; 1.45 M reads/minute). === Summary === Total reads processed: 54,918 Reads with adapters: 413 (0.8%) Reads written (passing filters): 54,918 (100.0%) Total basepairs processed: 15,156,536 bp Total written (filtered): 15,155,274 bp (100.0%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 413 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 37.0% C: 19.1% G: 35.6% T: 8.2% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 396 858.1 0 396 4 13 214.5 0 13 5 3 53.6 0 3 7 1 3.4 0 1