This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g GCTCCG -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g ggactacnngggtatctaat -e 0.2 -O 20 - Trimming 1 adapter with at most 20.0% errors in single-end mode ... Finished in 160.23 s (30 us/read; 2.00 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 24,648 (0.5%) Reads that were too short: 2,863 (0.1%) Reads written (passing filters): 21,785 (0.4%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 4,637,350 bp (0.3%) === Adapter 1 === Sequence: GCTCCG; Type: regular 5'; Length: 6; Trimmed: 24648 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 359 1302.2 0 359 7 8043 1302.2 0 8043 8 49 1302.2 0 49 9 792 1302.2 0 792 10 13 1302.2 0 13 11 11 1302.2 0 11 12 11 1302.2 0 11 13 13 1302.2 0 13 14 10 1302.2 0 10 15 11 1302.2 0 11 16 7 1302.2 0 7 17 6 1302.2 0 6 18 5 1302.2 0 5 19 10 1302.2 0 10 20 12 1302.2 0 12 21 9 1302.2 0 9 22 5 1302.2 0 5 23 8 1302.2 0 8 24 6 1302.2 0 6 25 4 1302.2 0 4 26 10 1302.2 0 10 27 15 1302.2 0 15 28 12 1302.2 0 12 29 10 1302.2 0 10 30 10 1302.2 0 10 31 9 1302.2 0 9 32 7 1302.2 0 7 33 7 1302.2 0 7 34 7 1302.2 0 7 35 12 1302.2 0 12 36 15 1302.2 0 15 37 4 1302.2 0 4 38 9 1302.2 0 9 39 7 1302.2 0 7 40 13 1302.2 0 13 41 9 1302.2 0 9 42 12 1302.2 0 12 43 15 1302.2 0 15 44 11 1302.2 0 11 45 21 1302.2 0 21 46 20 1302.2 0 20 47 11 1302.2 0 11 48 10 1302.2 0 10 49 13 1302.2 0 13 50 8 1302.2 0 8 51 10 1302.2 0 10 52 6 1302.2 0 6 53 7 1302.2 0 7 54 5 1302.2 0 5 55 19 1302.2 0 19 56 16 1302.2 0 16 57 14 1302.2 0 14 58 16 1302.2 0 16 59 10 1302.2 0 10 60 15 1302.2 0 15 61 6 1302.2 0 6 62 11 1302.2 0 11 63 7 1302.2 0 7 64 3 1302.2 0 3 65 9 1302.2 0 9 66 4 1302.2 0 4 67 6 1302.2 0 6 68 7 1302.2 0 7 69 5 1302.2 0 5 70 7 1302.2 0 7 71 7 1302.2 0 7 72 7 1302.2 0 7 73 5 1302.2 0 5 74 6 1302.2 0 6 75 7 1302.2 0 7 76 3 1302.2 0 3 77 8 1302.2 0 8 78 5 1302.2 0 5 79 3 1302.2 0 3 80 5 1302.2 0 5 81 8 1302.2 0 8 82 12 1302.2 0 12 83 11 1302.2 0 11 84 15 1302.2 0 15 85 9 1302.2 0 9 86 11 1302.2 0 11 87 7 1302.2 0 7 88 6 1302.2 0 6 89 10 1302.2 0 10 90 11 1302.2 0 11 91 5 1302.2 0 5 92 9 1302.2 0 9 93 23 1302.2 0 23 94 8 1302.2 0 8 95 8 1302.2 0 8 96 7 1302.2 0 7 97 6 1302.2 0 6 98 8 1302.2 0 8 99 3 1302.2 0 3 100 8 1302.2 0 8 101 8 1302.2 0 8 102 7 1302.2 0 7 103 14 1302.2 0 14 104 13 1302.2 0 13 105 7 1302.2 0 7 106 36 1302.2 0 36 107 64 1302.2 0 64 108 10 1302.2 0 10 109 15 1302.2 0 15 110 11 1302.2 0 11 111 5 1302.2 0 5 112 11 1302.2 0 11 113 13 1302.2 0 13 114 88 1302.2 0 88 115 131 1302.2 0 131 116 178 1302.2 0 178 117 16 1302.2 0 16 118 26 1302.2 0 26 119 13 1302.2 0 13 120 15 1302.2 0 15 121 13 1302.2 0 13 122 18 1302.2 0 18 123 11 1302.2 0 11 124 13 1302.2 0 13 125 20 1302.2 0 20 126 10 1302.2 0 10 127 24 1302.2 0 24 128 42 1302.2 0 42 129 66 1302.2 0 66 130 38 1302.2 0 38 131 21 1302.2 0 21 132 29 1302.2 0 29 133 32 1302.2 0 32 134 68 1302.2 0 68 135 26 1302.2 0 26 136 37 1302.2 0 37 137 45 1302.2 0 45 138 39 1302.2 0 39 139 15 1302.2 0 15 140 49 1302.2 0 49 141 50 1302.2 0 50 142 43 1302.2 0 43 143 57 1302.2 0 57 144 40 1302.2 0 40 145 56 1302.2 0 56 146 105 1302.2 0 105 147 1105 1302.2 0 1105 148 2220 1302.2 0 2220 149 3977 1302.2 0 3977 150 47 1302.2 0 47 151 7 1302.2 0 7 152 21 1302.2 0 21 153 11 1302.2 0 11 154 45 1302.2 0 45 155 18 1302.2 0 18 156 19 1302.2 0 19 157 12 1302.2 0 12 158 6 1302.2 0 6 159 12 1302.2 0 12 160 8 1302.2 0 8 161 7 1302.2 0 7 162 22 1302.2 0 22 163 10 1302.2 0 10 164 22 1302.2 0 22 165 22 1302.2 0 22 166 23 1302.2 0 23 167 22 1302.2 0 22 168 78 1302.2 0 78 169 35 1302.2 0 35 170 34 1302.2 0 34 171 24 1302.2 0 24 172 36 1302.2 0 36 173 34 1302.2 0 34 174 84 1302.2 0 84 175 30 1302.2 0 30 176 7 1302.2 0 7 177 10 1302.2 0 10 178 16 1302.2 0 16 179 17 1302.2 0 17 180 15 1302.2 0 15 181 13 1302.2 0 13 182 17 1302.2 0 17 183 35 1302.2 0 35 184 37 1302.2 0 37 185 13 1302.2 0 13 186 14 1302.2 0 14 187 29 1302.2 0 29 188 273 1302.2 0 273 189 51 1302.2 0 51 190 133 1302.2 0 133 191 8 1302.2 0 8 192 18 1302.2 0 18 193 6 1302.2 0 6 194 10 1302.2 0 10 195 17 1302.2 0 17 196 27 1302.2 0 27 197 32 1302.2 0 32 198 36 1302.2 0 36 199 85 1302.2 0 85 200 178 1302.2 0 178 201 964 1302.2 0 964 202 249 1302.2 0 249 203 1091 1302.2 0 1091 204 65 1302.2 0 65 205 4 1302.2 0 4 206 15 1302.2 0 15 207 8 1302.2 0 8 208 6 1302.2 0 6 209 9 1302.2 0 9 210 6 1302.2 0 6 211 7 1302.2 0 7 212 12 1302.2 0 12 213 8 1302.2 0 8 214 16 1302.2 0 16 215 21 1302.2 0 21 216 25 1302.2 0 25 217 11 1302.2 0 11 218 9 1302.2 0 9 219 8 1302.2 0 8 220 3 1302.2 0 3 221 9 1302.2 0 9 222 8 1302.2 0 8 223 17 1302.2 0 17 224 17 1302.2 0 17 225 88 1302.2 0 88 226 39 1302.2 0 39 227 37 1302.2 0 37 228 40 1302.2 0 40 229 18 1302.2 0 18 230 33 1302.2 0 33 231 5 1302.2 0 5 232 4 1302.2 0 4 233 11 1302.2 0 11 234 7 1302.2 0 7 235 7 1302.2 0 7 236 12 1302.2 0 12 237 2 1302.2 0 2 238 14 1302.2 0 14 239 5 1302.2 0 5 240 4 1302.2 0 4 241 6 1302.2 0 6 242 6 1302.2 0 6 243 8 1302.2 0 8 244 19 1302.2 0 19 245 8 1302.2 0 8 246 8 1302.2 0 8 247 5 1302.2 0 5 248 7 1302.2 0 7 249 8 1302.2 0 8 250 6 1302.2 0 6 251 9 1302.2 0 9 252 30 1302.2 0 30 253 39 1302.2 0 39 254 58 1302.2 0 58 255 29 1302.2 0 29 256 14 1302.2 0 14 257 9 1302.2 0 9 258 27 1302.2 0 27 259 37 1302.2 0 37 260 33 1302.2 0 33 261 5 1302.2 0 5 262 7 1302.2 0 7 263 6 1302.2 0 6 264 22 1302.2 0 22 265 25 1302.2 0 25 266 13 1302.2 0 13 267 11 1302.2 0 11 268 5 1302.2 0 5 269 16 1302.2 0 16 270 7 1302.2 0 7 271 14 1302.2 0 14 272 4 1302.2 0 4 273 8 1302.2 0 8 274 9 1302.2 0 9 275 26 1302.2 0 26 276 25 1302.2 0 25 277 22 1302.2 0 22 278 34 1302.2 0 34 279 13 1302.2 0 13 280 25 1302.2 0 25 281 19 1302.2 0 19 282 40 1302.2 0 40 283 31 1302.2 0 31 284 10 1302.2 0 10 285 14 1302.2 0 14 286 11 1302.2 0 11 287 5 1302.2 0 5 288 7 1302.2 0 7 289 13 1302.2 0 13 290 6 1302.2 0 6 291 12 1302.2 0 12 292 8 1302.2 0 8 293 14 1302.2 0 14 294 13 1302.2 0 13 295 5 1302.2 0 5 296 5 1302.2 0 5 297 4 1302.2 0 4 298 1 1302.2 0 1 299 14 1302.2 0 14 300 10 1302.2 0 10 301 8 1302.2 0 8 Finished in 1.10 s (50 us/read; 1.19 M reads/minute). === Summary === Total reads processed: 21,785 Reads with adapters: 6,183 (28.4%) Reads that were too short: 3 (0.0%) Reads written (passing filters): 6,180 (28.4%) Total basepairs processed: 4,637,350 bp Total written (filtered): 1,675,197 bp (36.1%) === Adapter 1 === Sequence: GGACTACNNGGGTATCTAAT; Type: regular 5'; Length: 20; Trimmed: 6183 times. No. of allowed errors: 0-4 bp: 0; 5-9 bp: 1; 10-14 bp: 2; 15-19 bp: 3; 20 bp: 4 Overview of removed sequences length count expect max.err error counts 17 2 0.0 3 0 0 0 0 2 19 12 0.0 3 0 8 0 0 4 20 711 0.0 4 689 13 4 3 2 21 101 0.0 4 5 85 2 4 5 22 5269 0.0 4 5176 76 2 2 13 23 18 0.0 4 5 9 0 2 2 24 6 0.0 4 0 0 0 0 6 25 3 0.0 4 0 0 0 2 1 120 1 0.0 4 0 0 0 0 1 125 1 0.0 4 0 0 0 0 1 126 1 0.0 4 0 0 0 0 1 127 56 0.0 4 0 0 0 0 56 228 2 0.0 4 0 0 0 0 2 This is cutadapt 1.11 with Python 2.7.12 Command line parameters: -a CTGSTGCVYCCCRTAGG - Trimming 1 adapter with at most 10.0% errors in single-end mode ... Finished in 0.24 s (39 us/read; 1.54 M reads/minute). === Summary === Total reads processed: 6,180 Reads with adapters: 479 (7.8%) Reads written (passing filters): 6,180 (100.0%) Total basepairs processed: 1,675,197 bp Total written (filtered): 1,575,423 bp (94.0%) === Adapter 1 === Sequence: CTGSTGCVYCCCRTAGG; Type: regular 3'; Length: 17; Trimmed: 479 times. No. of allowed errors: 0-9 bp: 0; 10-17 bp: 1 Bases preceding removed adapters: A: 78.3% C: 1.5% G: 18.6% T: 1.7% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 1 96.6 0 1 5 1 6.0 0 1 6 7 1.5 0 7 9 10 0.0 0 0 10 10 31 0.0 1 0 31 11 44 0.0 1 0 44 150 1 0.0 1 0 1 238 3 0.0 1 3 243 1 0.0 1 1 256 1 0.0 1 1 257 357 0.0 1 337 20 258 18 0.0 1 18 271 4 0.0 1 3 1