This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g GTAGTG -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 167.19 s (31 us/read; 1.91 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 109,454 (2.1%) Reads that were too short: 8,579 (0.2%) Reads written (passing filters): 100,875 (1.9%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 27,908,857 bp (1.7%) === Adapter 1 === Sequence: GTAGTG; Type: regular 5'; Length: 6; Trimmed: 109454 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 2111 1302.2 0 2111 7 78192 1302.2 0 78192 8 240 1302.2 0 240 9 6816 1302.2 0 6816 10 15 1302.2 0 15 11 8 1302.2 0 8 12 6 1302.2 0 6 13 7 1302.2 0 7 14 10 1302.2 0 10 15 7 1302.2 0 7 16 12 1302.2 0 12 17 7 1302.2 0 7 18 4 1302.2 0 4 19 8 1302.2 0 8 21 6 1302.2 0 6 22 7 1302.2 0 7 23 9 1302.2 0 9 24 20 1302.2 0 20 25 14 1302.2 0 14 26 28 1302.2 0 28 27 19 1302.2 0 19 28 75 1302.2 0 75 29 28 1302.2 0 28 30 52 1302.2 0 52 31 38 1302.2 0 38 32 4 1302.2 0 4 33 18 1302.2 0 18 34 7 1302.2 0 7 35 5 1302.2 0 5 36 3 1302.2 0 3 37 7 1302.2 0 7 38 258 1302.2 0 258 39 15 1302.2 0 15 40 8 1302.2 0 8 41 6 1302.2 0 6 42 7 1302.2 0 7 43 8 1302.2 0 8 44 10 1302.2 0 10 45 9 1302.2 0 9 46 11 1302.2 0 11 47 9 1302.2 0 9 48 6 1302.2 0 6 49 17 1302.2 0 17 50 10 1302.2 0 10 51 15 1302.2 0 15 52 13 1302.2 0 13 53 37 1302.2 0 37 54 10 1302.2 0 10 55 3 1302.2 0 3 56 12 1302.2 0 12 57 6 1302.2 0 6 58 15 1302.2 0 15 59 7 1302.2 0 7 60 4 1302.2 0 4 61 9 1302.2 0 9 62 7 1302.2 0 7 63 11 1302.2 0 11 64 8 1302.2 0 8 65 5 1302.2 0 5 66 26 1302.2 0 26 67 42 1302.2 0 42 68 40 1302.2 0 40 69 138 1302.2 0 138 70 17 1302.2 0 17 71 33 1302.2 0 33 72 12 1302.2 0 12 73 11 1302.2 0 11 74 7 1302.2 0 7 75 10 1302.2 0 10 76 16 1302.2 0 16 77 133 1302.2 0 133 78 21 1302.2 0 21 79 76 1302.2 0 76 80 8 1302.2 0 8 81 10 1302.2 0 10 82 18 1302.2 0 18 83 6 1302.2 0 6 84 12 1302.2 0 12 85 7 1302.2 0 7 86 7 1302.2 0 7 87 7 1302.2 0 7 88 10 1302.2 0 10 89 7 1302.2 0 7 90 5 1302.2 0 5 91 13 1302.2 0 13 92 14 1302.2 0 14 93 19 1302.2 0 19 94 16 1302.2 0 16 95 10 1302.2 0 10 96 16 1302.2 0 16 97 29 1302.2 0 29 98 257 1302.2 0 257 99 340 1302.2 0 340 100 19 1302.2 0 19 101 16 1302.2 0 16 102 13 1302.2 0 13 103 6 1302.2 0 6 104 14 1302.2 0 14 105 9 1302.2 0 9 106 9 1302.2 0 9 107 11 1302.2 0 11 108 12 1302.2 0 12 109 10 1302.2 0 10 110 9 1302.2 0 9 111 14 1302.2 0 14 112 23 1302.2 0 23 113 25 1302.2 0 25 114 125 1302.2 0 125 115 141 1302.2 0 141 116 180 1302.2 0 180 117 16 1302.2 0 16 118 9 1302.2 0 9 119 14 1302.2 0 14 120 27 1302.2 0 27 121 32 1302.2 0 32 122 17 1302.2 0 17 123 40 1302.2 0 40 124 26 1302.2 0 26 125 19 1302.2 0 19 126 23 1302.2 0 23 127 21 1302.2 0 21 128 27 1302.2 0 27 129 58 1302.2 0 58 130 72 1302.2 0 72 131 49 1302.2 0 49 132 48 1302.2 0 48 133 118 1302.2 0 118 134 102 1302.2 0 102 135 89 1302.2 0 89 136 79 1302.2 0 79 137 101 1302.2 0 101 138 139 1302.2 0 139 139 95 1302.2 0 95 140 87 1302.2 0 87 141 146 1302.2 0 146 142 106 1302.2 0 106 143 743 1302.2 0 743 144 934 1302.2 0 934 145 2820 1302.2 0 2820 146 49 1302.2 0 49 147 58 1302.2 0 58 148 68 1302.2 0 68 149 642 1302.2 0 642 150 684 1302.2 0 684 151 293 1302.2 0 293 152 85 1302.2 0 85 153 23 1302.2 0 23 154 80 1302.2 0 80 155 37 1302.2 0 37 156 39 1302.2 0 39 157 33 1302.2 0 33 158 25 1302.2 0 25 159 40 1302.2 0 40 160 47 1302.2 0 47 161 51 1302.2 0 51 162 43 1302.2 0 43 163 58 1302.2 0 58 164 51 1302.2 0 51 165 43 1302.2 0 43 166 62 1302.2 0 62 167 49 1302.2 0 49 168 78 1302.2 0 78 169 39 1302.2 0 39 170 27 1302.2 0 27 171 30 1302.2 0 30 172 54 1302.2 0 54 173 29 1302.2 0 29 174 21 1302.2 0 21 175 27 1302.2 0 27 176 21 1302.2 0 21 177 34 1302.2 0 34 178 34 1302.2 0 34 179 51 1302.2 0 51 180 29 1302.2 0 29 181 48 1302.2 0 48 182 83 1302.2 0 83 183 59 1302.2 0 59 184 122 1302.2 0 122 185 63 1302.2 0 63 186 58 1302.2 0 58 187 16 1302.2 0 16 188 36 1302.2 0 36 189 106 1302.2 0 106 190 116 1302.2 0 116 191 242 1302.2 0 242 192 107 1302.2 0 107 193 43 1302.2 0 43 194 36 1302.2 0 36 195 39 1302.2 0 39 196 114 1302.2 0 114 197 46 1302.2 0 46 198 19 1302.2 0 19 199 16 1302.2 0 16 200 10 1302.2 0 10 201 57 1302.2 0 57 202 54 1302.2 0 54 203 34 1302.2 0 34 204 54 1302.2 0 54 205 64 1302.2 0 64 206 72 1302.2 0 72 207 39 1302.2 0 39 208 47 1302.2 0 47 209 73 1302.2 0 73 210 107 1302.2 0 107 211 177 1302.2 0 177 212 83 1302.2 0 83 213 93 1302.2 0 93 214 81 1302.2 0 81 215 129 1302.2 0 129 216 121 1302.2 0 121 217 100 1302.2 0 100 218 51 1302.2 0 51 219 29 1302.2 0 29 220 38 1302.2 0 38 221 70 1302.2 0 70 222 105 1302.2 0 105 223 47 1302.2 0 47 224 59 1302.2 0 59 225 110 1302.2 0 110 226 93 1302.2 0 93 227 90 1302.2 0 90 228 101 1302.2 0 101 229 42 1302.2 0 42 230 50 1302.2 0 50 231 28 1302.2 0 28 232 40 1302.2 0 40 233 84 1302.2 0 84 234 71 1302.2 0 71 235 64 1302.2 0 64 236 91 1302.2 0 91 237 68 1302.2 0 68 238 56 1302.2 0 56 239 40 1302.2 0 40 240 37 1302.2 0 37 241 49 1302.2 0 49 242 40 1302.2 0 40 243 49 1302.2 0 49 244 51 1302.2 0 51 245 68 1302.2 0 68 246 65 1302.2 0 65 247 27 1302.2 0 27 248 30 1302.2 0 30 249 284 1302.2 0 284 250 188 1302.2 0 188 251 171 1302.2 0 171 252 33 1302.2 0 33 253 109 1302.2 0 109 254 266 1302.2 0 266 255 346 1302.2 0 346 256 73 1302.2 0 73 257 42 1302.2 0 42 258 52 1302.2 0 52 259 60 1302.2 0 60 260 34 1302.2 0 34 261 69 1302.2 0 69 262 65 1302.2 0 65 263 50 1302.2 0 50 264 80 1302.2 0 80 265 114 1302.2 0 114 266 79 1302.2 0 79 267 29 1302.2 0 29 268 36 1302.2 0 36 269 361 1302.2 0 361 270 680 1302.2 0 680 271 90 1302.2 0 90 272 48 1302.2 0 48 273 74 1302.2 0 74 274 86 1302.2 0 86 275 126 1302.2 0 126 276 61 1302.2 0 61 277 91 1302.2 0 91 278 73 1302.2 0 73 279 35 1302.2 0 35 280 45 1302.2 0 45 281 75 1302.2 0 75 282 142 1302.2 0 142 283 124 1302.2 0 124 284 56 1302.2 0 56 285 78 1302.2 0 78 286 61 1302.2 0 61 287 39 1302.2 0 39 288 30 1302.2 0 30 289 81 1302.2 0 81 290 75 1302.2 0 75 291 73 1302.2 0 73 292 46 1302.2 0 46 293 36 1302.2 0 36 294 69 1302.2 0 69 295 29 1302.2 0 29 296 39 1302.2 0 39 297 24 1302.2 0 24 298 76 1302.2 0 76 299 111 1302.2 0 111 300 120 1302.2 0 120 301 74 1302.2 0 74 Finished in 5.46 s (54 us/read; 1.11 M reads/minute). === Summary === Total reads processed: 100,875 Reads with adapters: 7,049 (7.0%) Reads that were too short: 16 (0.0%) Reads written (passing filters): 7,033 (7.0%) Total basepairs processed: 27,908,857 bp Total written (filtered): 1,929,672 bp (6.9%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 7049 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 2 0.0 2 0 0 0 2 15 4 0.0 3 0 0 4 16 59 0.0 3 0 55 3 1 17 6758 0.0 3 6624 127 2 5 18 92 0.0 3 1 14 71 6 19 77 0.0 3 0 0 14 63 20 12 0.0 3 0 0 0 12 27 1 0.0 3 1 34 15 0.0 3 0 0 0 15 37 2 0.0 3 0 0 0 2 43 2 0.0 3 0 0 0 2 46 1 0.0 3 0 0 0 1 60 1 0.0 3 0 0 0 1 76 1 0.0 3 0 0 0 1 144 1 0.0 3 0 0 0 1 145 2 0.0 3 0 0 0 2 146 5 0.0 3 0 0 0 5 156 3 0.0 3 0 0 0 3 162 1 0.0 3 0 0 0 1 169 1 0.0 3 0 0 0 1 179 1 0.0 3 0 0 1 192 5 0.0 3 0 0 0 5 281 1 0.0 3 0 0 0 1 288 1 0.0 3 0 0 0 1 289 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; 1.32 M reads/minute). === Summary === Total reads processed: 7,033 Reads with adapters: 576 (8.2%) Reads written (passing filters): 7,033 (100.0%) Total basepairs processed: 1,929,672 bp Total written (filtered): 1,927,940 bp (99.9%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 576 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 23.3% C: 18.9% G: 56.1% T: 1.7% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 572 109.9 0 572 4 4 27.5 0 4