This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g GTTGCC -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 166.74 s (31 us/read; 1.92 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 21,119 (0.4%) Reads that were too short: 4,302 (0.1%) Reads written (passing filters): 16,817 (0.3%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 3,843,883 bp (0.2%) === Adapter 1 === Sequence: GTTGCC; Type: regular 5'; Length: 6; Trimmed: 21119 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 56 1302.2 0 56 7 3051 1302.2 0 3051 8 152 1302.2 0 152 9 12 1302.2 0 12 10 20 1302.2 0 20 11 17 1302.2 0 17 12 15 1302.2 0 15 13 13 1302.2 0 13 14 16 1302.2 0 16 15 13 1302.2 0 13 16 14 1302.2 0 14 17 20 1302.2 0 20 18 12 1302.2 0 12 19 15 1302.2 0 15 20 15 1302.2 0 15 21 24 1302.2 0 24 22 22 1302.2 0 22 23 13 1302.2 0 13 24 14 1302.2 0 14 25 8 1302.2 0 8 26 11 1302.2 0 11 27 7 1302.2 0 7 28 15 1302.2 0 15 29 17 1302.2 0 17 30 20 1302.2 0 20 31 10 1302.2 0 10 32 6 1302.2 0 6 33 15 1302.2 0 15 34 11 1302.2 0 11 35 11 1302.2 0 11 36 15 1302.2 0 15 37 16 1302.2 0 16 38 45 1302.2 0 45 39 16 1302.2 0 16 40 17 1302.2 0 17 41 16 1302.2 0 16 42 11 1302.2 0 11 43 17 1302.2 0 17 44 10 1302.2 0 10 45 23 1302.2 0 23 46 34 1302.2 0 34 47 271 1302.2 0 271 48 4854 1302.2 0 4854 49 195 1302.2 0 195 50 20 1302.2 0 20 51 19 1302.2 0 19 52 73 1302.2 0 73 53 16 1302.2 0 16 54 58 1302.2 0 58 55 35 1302.2 0 35 56 15 1302.2 0 15 57 14 1302.2 0 14 58 10 1302.2 0 10 59 15 1302.2 0 15 60 17 1302.2 0 17 61 14 1302.2 0 14 62 14 1302.2 0 14 63 11 1302.2 0 11 64 10 1302.2 0 10 65 33 1302.2 0 33 66 14 1302.2 0 14 67 15 1302.2 0 15 68 12 1302.2 0 12 69 37 1302.2 0 37 70 21 1302.2 0 21 71 34 1302.2 0 34 72 176 1302.2 0 176 73 184 1302.2 0 184 74 248 1302.2 0 248 75 13 1302.2 0 13 76 19 1302.2 0 19 77 12 1302.2 0 12 78 24 1302.2 0 24 79 30 1302.2 0 30 80 32 1302.2 0 32 81 116 1302.2 0 116 82 56 1302.2 0 56 83 206 1302.2 0 206 84 874 1302.2 0 874 85 284 1302.2 0 284 86 141 1302.2 0 141 87 45 1302.2 0 45 88 58 1302.2 0 58 89 23 1302.2 0 23 90 34 1302.2 0 34 91 27 1302.2 0 27 92 26 1302.2 0 26 93 17 1302.2 0 17 94 32 1302.2 0 32 95 23 1302.2 0 23 96 12 1302.2 0 12 97 15 1302.2 0 15 98 27 1302.2 0 27 99 24 1302.2 0 24 100 24 1302.2 0 24 101 34 1302.2 0 34 102 28 1302.2 0 28 103 22 1302.2 0 22 104 17 1302.2 0 17 105 12 1302.2 0 12 106 24 1302.2 0 24 107 15 1302.2 0 15 108 30 1302.2 0 30 109 83 1302.2 0 83 110 130 1302.2 0 130 111 194 1302.2 0 194 112 75 1302.2 0 75 113 11 1302.2 0 11 114 13 1302.2 0 13 115 14 1302.2 0 14 116 16 1302.2 0 16 117 20 1302.2 0 20 118 31 1302.2 0 31 119 28 1302.2 0 28 120 22 1302.2 0 22 121 13 1302.2 0 13 122 38 1302.2 0 38 123 33 1302.2 0 33 124 24 1302.2 0 24 125 27 1302.2 0 27 126 10 1302.2 0 10 127 32 1302.2 0 32 128 15 1302.2 0 15 129 13 1302.2 0 13 130 20 1302.2 0 20 131 29 1302.2 0 29 132 60 1302.2 0 60 133 41 1302.2 0 41 134 28 1302.2 0 28 135 32 1302.2 0 32 136 44 1302.2 0 44 137 58 1302.2 0 58 138 71 1302.2 0 71 139 57 1302.2 0 57 140 21 1302.2 0 21 141 24 1302.2 0 24 142 28 1302.2 0 28 143 33 1302.2 0 33 144 33 1302.2 0 33 145 22 1302.2 0 22 146 61 1302.2 0 61 147 28 1302.2 0 28 148 198 1302.2 0 198 149 32 1302.2 0 32 150 75 1302.2 0 75 151 34 1302.2 0 34 152 39 1302.2 0 39 153 14 1302.2 0 14 154 20 1302.2 0 20 155 17 1302.2 0 17 156 34 1302.2 0 34 157 45 1302.2 0 45 158 89 1302.2 0 89 159 56 1302.2 0 56 160 25 1302.2 0 25 161 36 1302.2 0 36 162 26 1302.2 0 26 163 44 1302.2 0 44 164 39 1302.2 0 39 165 27 1302.2 0 27 166 38 1302.2 0 38 167 59 1302.2 0 59 168 168 1302.2 0 168 169 104 1302.2 0 104 170 132 1302.2 0 132 171 48 1302.2 0 48 172 19 1302.2 0 19 173 19 1302.2 0 19 174 16 1302.2 0 16 175 19 1302.2 0 19 176 112 1302.2 0 112 177 60 1302.2 0 60 178 83 1302.2 0 83 179 20 1302.2 0 20 180 26 1302.2 0 26 181 31 1302.2 0 31 182 40 1302.2 0 40 183 45 1302.2 0 45 184 102 1302.2 0 102 185 26 1302.2 0 26 186 34 1302.2 0 34 187 31 1302.2 0 31 188 62 1302.2 0 62 189 28 1302.2 0 28 190 17 1302.2 0 17 191 22 1302.2 0 22 192 13 1302.2 0 13 193 22 1302.2 0 22 194 38 1302.2 0 38 195 39 1302.2 0 39 196 51 1302.2 0 51 197 39 1302.2 0 39 198 74 1302.2 0 74 199 57 1302.2 0 57 200 52 1302.2 0 52 201 13 1302.2 0 13 202 34 1302.2 0 34 203 37 1302.2 0 37 204 133 1302.2 0 133 205 99 1302.2 0 99 206 59 1302.2 0 59 207 33 1302.2 0 33 208 43 1302.2 0 43 209 43 1302.2 0 43 210 51 1302.2 0 51 211 46 1302.2 0 46 212 60 1302.2 0 60 213 179 1302.2 0 179 214 455 1302.2 0 455 215 456 1302.2 0 456 216 69 1302.2 0 69 217 41 1302.2 0 41 218 59 1302.2 0 59 219 45 1302.2 0 45 220 17 1302.2 0 17 221 21 1302.2 0 21 222 47 1302.2 0 47 223 77 1302.2 0 77 224 374 1302.2 0 374 225 133 1302.2 0 133 226 28 1302.2 0 28 227 23 1302.2 0 23 228 13 1302.2 0 13 229 16 1302.2 0 16 230 12 1302.2 0 12 231 11 1302.2 0 11 232 3 1302.2 0 3 233 11 1302.2 0 11 234 23 1302.2 0 23 235 31 1302.2 0 31 236 27 1302.2 0 27 237 77 1302.2 0 77 238 11 1302.2 0 11 239 9 1302.2 0 9 240 5 1302.2 0 5 241 7 1302.2 0 7 242 27 1302.2 0 27 243 54 1302.2 0 54 244 29 1302.2 0 29 245 35 1302.2 0 35 246 24 1302.2 0 24 247 7 1302.2 0 7 248 15 1302.2 0 15 249 15 1302.2 0 15 250 14 1302.2 0 14 251 16 1302.2 0 16 252 47 1302.2 0 47 253 81 1302.2 0 81 254 71 1302.2 0 71 255 37 1302.2 0 37 256 11 1302.2 0 11 257 17 1302.2 0 17 258 31 1302.2 0 31 259 42 1302.2 0 42 260 41 1302.2 0 41 261 46 1302.2 0 46 262 22 1302.2 0 22 263 17 1302.2 0 17 264 20 1302.2 0 20 265 19 1302.2 0 19 266 14 1302.2 0 14 267 18 1302.2 0 18 268 15 1302.2 0 15 269 7 1302.2 0 7 270 17 1302.2 0 17 271 21 1302.2 0 21 272 22 1302.2 0 22 273 25 1302.2 0 25 274 9 1302.2 0 9 275 13 1302.2 0 13 276 18 1302.2 0 18 277 28 1302.2 0 28 278 14 1302.2 0 14 279 9 1302.2 0 9 280 17 1302.2 0 17 281 21 1302.2 0 21 282 15 1302.2 0 15 283 29 1302.2 0 29 284 16 1302.2 0 16 285 16 1302.2 0 16 286 9 1302.2 0 9 287 10 1302.2 0 10 288 22 1302.2 0 22 289 42 1302.2 0 42 290 13 1302.2 0 13 291 11 1302.2 0 11 292 10 1302.2 0 10 293 11 1302.2 0 11 294 13 1302.2 0 13 295 14 1302.2 0 14 296 23 1302.2 0 23 297 24 1302.2 0 24 298 15 1302.2 0 15 299 18 1302.2 0 18 300 28 1302.2 0 28 301 39 1302.2 0 39 Finished in 0.81 s (48 us/read; 1.25 M reads/minute). === Summary === Total reads processed: 16,817 Reads with adapters: 2,877 (17.1%) Reads that were too short: 4 (0.0%) Reads written (passing filters): 2,873 (17.1%) Total basepairs processed: 3,843,883 bp Total written (filtered): 793,164 bp (20.6%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 2877 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 16 16 0.0 3 0 14 1 1 17 2827 0.0 3 2719 93 10 5 18 6 0.0 3 0 1 4 1 19 1 0.0 3 0 0 0 1 20 4 0.0 3 0 0 0 4 23 1 0.0 3 0 0 0 1 41 2 0.0 3 0 0 0 2 42 1 0.0 3 0 0 0 1 51 1 0.0 3 0 0 1 52 1 0.0 3 1 59 1 0.0 3 0 0 0 1 77 1 0.0 3 0 0 0 1 81 2 0.0 3 0 0 0 2 82 2 0.0 3 0 0 0 2 99 1 0.0 3 0 0 0 1 113 1 0.0 3 0 0 0 1 133 2 0.0 3 0 0 0 2 134 1 0.0 3 0 0 0 1 146 1 0.0 3 0 0 1 147 1 0.0 3 0 0 0 1 150 2 0.0 3 0 0 0 2 158 1 0.0 3 0 0 0 1 217 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 0.13 s (45 us/read; 1.33 M reads/minute). === Summary === Total reads processed: 2,873 Reads with adapters: 81 (2.8%) Reads written (passing filters): 2,873 (100.0%) Total basepairs processed: 793,164 bp Total written (filtered): 792,920 bp (100.0%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 81 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 17.3% C: 44.4% G: 18.5% T: 19.8% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 80 44.9 0 80 4 1 11.2 0 1