This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g TGGCGG -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 166.90 s (31 us/read; 1.92 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 61,760 (1.2%) Reads that were too short: 3,240 (0.1%) Reads written (passing filters): 58,520 (1.1%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 16,433,927 bp (1.0%) === Adapter 1 === Sequence: TGGCGG; Type: regular 5'; Length: 6; Trimmed: 61760 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 1899 1302.2 0 1899 7 18246 1302.2 0 18246 8 1244 1302.2 0 1244 9 27277 1302.2 0 27277 10 63 1302.2 0 63 11 107 1302.2 0 107 12 20 1302.2 0 20 13 73 1302.2 0 73 14 19 1302.2 0 19 15 27 1302.2 0 27 16 33 1302.2 0 33 17 49 1302.2 0 49 18 60 1302.2 0 60 19 51 1302.2 0 51 20 24 1302.2 0 24 21 163 1302.2 0 163 22 30 1302.2 0 30 23 62 1302.2 0 62 24 19 1302.2 0 19 25 26 1302.2 0 26 26 17 1302.2 0 17 27 27 1302.2 0 27 28 18 1302.2 0 18 29 20 1302.2 0 20 30 15 1302.2 0 15 31 25 1302.2 0 25 32 17 1302.2 0 17 33 17 1302.2 0 17 34 24 1302.2 0 24 35 23 1302.2 0 23 36 7 1302.2 0 7 37 26 1302.2 0 26 38 30 1302.2 0 30 39 22 1302.2 0 22 40 70 1302.2 0 70 41 31 1302.2 0 31 42 41 1302.2 0 41 43 240 1302.2 0 240 44 36 1302.2 0 36 45 31 1302.2 0 31 46 338 1302.2 0 338 47 469 1302.2 0 469 48 231 1302.2 0 231 49 1121 1302.2 0 1121 50 940 1302.2 0 940 51 166 1302.2 0 166 52 31 1302.2 0 31 53 42 1302.2 0 42 54 18 1302.2 0 18 55 29 1302.2 0 29 56 37 1302.2 0 37 57 19 1302.2 0 19 58 22 1302.2 0 22 59 30 1302.2 0 30 60 72 1302.2 0 72 61 89 1302.2 0 89 62 41 1302.2 0 41 63 18 1302.2 0 18 64 18 1302.2 0 18 65 20 1302.2 0 20 66 15 1302.2 0 15 67 17 1302.2 0 17 68 18 1302.2 0 18 69 24 1302.2 0 24 70 35 1302.2 0 35 71 17 1302.2 0 17 72 21 1302.2 0 21 73 21 1302.2 0 21 74 9 1302.2 0 9 75 16 1302.2 0 16 76 12 1302.2 0 12 77 25 1302.2 0 25 78 51 1302.2 0 51 79 128 1302.2 0 128 80 31 1302.2 0 31 81 16 1302.2 0 16 82 71 1302.2 0 71 83 185 1302.2 0 185 84 143 1302.2 0 143 85 120 1302.2 0 120 86 199 1302.2 0 199 87 58 1302.2 0 58 88 11 1302.2 0 11 89 19 1302.2 0 19 90 15 1302.2 0 15 91 18 1302.2 0 18 92 21 1302.2 0 21 93 18 1302.2 0 18 94 17 1302.2 0 17 95 17 1302.2 0 17 96 18 1302.2 0 18 97 5 1302.2 0 5 98 12 1302.2 0 12 99 15 1302.2 0 15 100 7 1302.2 0 7 101 9 1302.2 0 9 102 10 1302.2 0 10 103 10 1302.2 0 10 104 7 1302.2 0 7 105 9 1302.2 0 9 106 14 1302.2 0 14 107 4 1302.2 0 4 108 10 1302.2 0 10 109 11 1302.2 0 11 110 18 1302.2 0 18 111 17 1302.2 0 17 112 32 1302.2 0 32 113 159 1302.2 0 159 114 403 1302.2 0 403 115 9 1302.2 0 9 116 13 1302.2 0 13 117 16 1302.2 0 16 118 18 1302.2 0 18 119 36 1302.2 0 36 120 17 1302.2 0 17 121 22 1302.2 0 22 122 22 1302.2 0 22 123 20 1302.2 0 20 124 19 1302.2 0 19 125 18 1302.2 0 18 126 16 1302.2 0 16 127 27 1302.2 0 27 128 28 1302.2 0 28 129 49 1302.2 0 49 130 35 1302.2 0 35 131 27 1302.2 0 27 132 41 1302.2 0 41 133 75 1302.2 0 75 134 122 1302.2 0 122 135 34 1302.2 0 34 136 29 1302.2 0 29 137 26 1302.2 0 26 138 29 1302.2 0 29 139 34 1302.2 0 34 140 35 1302.2 0 35 141 165 1302.2 0 165 142 238 1302.2 0 238 143 81 1302.2 0 81 144 16 1302.2 0 16 145 13 1302.2 0 13 146 24 1302.2 0 24 147 31 1302.2 0 31 148 33 1302.2 0 33 149 27 1302.2 0 27 150 21 1302.2 0 21 151 15 1302.2 0 15 152 33 1302.2 0 33 153 113 1302.2 0 113 154 119 1302.2 0 119 155 35 1302.2 0 35 156 10 1302.2 0 10 157 18 1302.2 0 18 158 13 1302.2 0 13 159 19 1302.2 0 19 160 10 1302.2 0 10 161 11 1302.2 0 11 162 15 1302.2 0 15 163 10 1302.2 0 10 164 18 1302.2 0 18 165 25 1302.2 0 25 166 23 1302.2 0 23 167 14 1302.2 0 14 168 7 1302.2 0 7 169 18 1302.2 0 18 170 14 1302.2 0 14 171 18 1302.2 0 18 172 12 1302.2 0 12 173 13 1302.2 0 13 174 10 1302.2 0 10 175 13 1302.2 0 13 176 14 1302.2 0 14 177 9 1302.2 0 9 178 13 1302.2 0 13 179 10 1302.2 0 10 180 11 1302.2 0 11 181 8 1302.2 0 8 182 14 1302.2 0 14 183 17 1302.2 0 17 184 13 1302.2 0 13 185 23 1302.2 0 23 186 8 1302.2 0 8 187 18 1302.2 0 18 188 15 1302.2 0 15 189 13 1302.2 0 13 190 14 1302.2 0 14 191 8 1302.2 0 8 192 10 1302.2 0 10 193 17 1302.2 0 17 194 15 1302.2 0 15 195 13 1302.2 0 13 196 9 1302.2 0 9 197 10 1302.2 0 10 198 14 1302.2 0 14 199 10 1302.2 0 10 200 11 1302.2 0 11 201 13 1302.2 0 13 202 11 1302.2 0 11 203 15 1302.2 0 15 204 16 1302.2 0 16 205 16 1302.2 0 16 206 6 1302.2 0 6 207 11 1302.2 0 11 208 8 1302.2 0 8 209 14 1302.2 0 14 210 12 1302.2 0 12 211 19 1302.2 0 19 212 17 1302.2 0 17 213 31 1302.2 0 31 214 34 1302.2 0 34 215 33 1302.2 0 33 216 28 1302.2 0 28 217 23 1302.2 0 23 218 30 1302.2 0 30 219 26 1302.2 0 26 220 30 1302.2 0 30 221 20 1302.2 0 20 222 11 1302.2 0 11 223 14 1302.2 0 14 224 22 1302.2 0 22 225 16 1302.2 0 16 226 29 1302.2 0 29 227 20 1302.2 0 20 228 12 1302.2 0 12 229 16 1302.2 0 16 230 23 1302.2 0 23 231 14 1302.2 0 14 232 22 1302.2 0 22 233 10 1302.2 0 10 234 19 1302.2 0 19 235 16 1302.2 0 16 236 15 1302.2 0 15 237 70 1302.2 0 70 238 27 1302.2 0 27 239 28 1302.2 0 28 240 25 1302.2 0 25 241 16 1302.2 0 16 242 6 1302.2 0 6 243 11 1302.2 0 11 244 14 1302.2 0 14 245 20 1302.2 0 20 246 10 1302.2 0 10 247 17 1302.2 0 17 248 17 1302.2 0 17 249 9 1302.2 0 9 250 8 1302.2 0 8 251 17 1302.2 0 17 252 15 1302.2 0 15 253 48 1302.2 0 48 254 81 1302.2 0 81 255 55 1302.2 0 55 256 74 1302.2 0 74 257 72 1302.2 0 72 258 19 1302.2 0 19 259 7 1302.2 0 7 260 22 1302.2 0 22 261 22 1302.2 0 22 262 145 1302.2 0 145 263 16 1302.2 0 16 264 10 1302.2 0 10 265 19 1302.2 0 19 266 18 1302.2 0 18 267 8 1302.2 0 8 268 10 1302.2 0 10 269 10 1302.2 0 10 270 7 1302.2 0 7 271 11 1302.2 0 11 272 10 1302.2 0 10 273 25 1302.2 0 25 274 155 1302.2 0 155 275 12 1302.2 0 12 276 11 1302.2 0 11 277 14 1302.2 0 14 278 16 1302.2 0 16 279 18 1302.2 0 18 280 17 1302.2 0 17 281 10 1302.2 0 10 282 19 1302.2 0 19 283 14 1302.2 0 14 284 21 1302.2 0 21 285 70 1302.2 0 70 286 13 1302.2 0 13 287 13 1302.2 0 13 288 6 1302.2 0 6 289 11 1302.2 0 11 290 14 1302.2 0 14 291 52 1302.2 0 52 292 79 1302.2 0 79 293 43 1302.2 0 43 294 18 1302.2 0 18 295 10 1302.2 0 10 296 13 1302.2 0 13 297 9 1302.2 0 9 298 65 1302.2 0 65 299 420 1302.2 0 420 300 421 1302.2 0 421 301 18 1302.2 0 18 Finished in 3.56 s (61 us/read; 0.99 M reads/minute). === Summary === Total reads processed: 58,520 Reads with adapters: 18,075 (30.9%) Reads that were too short: 2 (0.0%) Reads written (passing filters): 18,073 (30.9%) Total basepairs processed: 16,433,927 bp Total written (filtered): 4,952,563 bp (30.1%) === Adapter 1 === Sequence: GGACTACNNGGGTATCTAAT; Type: regular 5'; Length: 20; Trimmed: 18075 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 1 0.0 3 0 0 0 0 1 18 13 0.0 3 0 0 11 1 1 19 284 0.0 3 0 265 8 5 6 20 17585 0.0 4 16930 552 69 21 13 21 71 0.0 4 19 38 2 7 5 22 89 0.0 4 80 5 1 1 2 23 20 0.0 4 0 0 0 16 4 24 1 0.0 4 0 0 0 0 1 26 1 0.0 4 1 38 1 0.0 4 0 1 43 2 0.0 4 2 49 1 0.0 4 0 0 0 0 1 89 1 0.0 4 0 0 0 0 1 117 1 0.0 4 0 0 0 0 1 129 1 0.0 4 0 0 0 0 1 148 1 0.0 4 0 0 0 0 1 177 1 0.0 4 0 0 0 0 1 276 1 0.0 4 0 0 0 0 1 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 0.75 s (41 us/read; 1.45 M reads/minute). === Summary === Total reads processed: 18,073 Reads with adapters: 411 (2.3%) Reads written (passing filters): 18,073 (100.0%) Total basepairs processed: 4,952,563 bp Total written (filtered): 4,945,181 bp (99.9%) === Adapter 1 === Sequence: CTGSTGCVYCCCRTAGG; Type: regular 3'; Length: 17; Trimmed: 411 times. No. of allowed errors: 0-9 bp: 0; 10-17 bp: 1 Bases preceding removed adapters: A: 6.3% C: 6.3% G: 85.2% T: 1.9% none/other: 0.2% WARNING: The adapter is preceded by "G" extremely often. The provided adapter sequence may be incomplete. To fix the problem, add "G" to the beginning of the adapter sequence. Overview of removed sequences length count expect max.err error counts 3 16 282.4 0 16 4 5 70.6 0 5 9 2 0.1 0 0 2 10 5 0.0 1 0 5 11 318 0.0 1 1 317 12 49 0.0 1 2 47 13 2 0.0 1 0 2 15 1 0.0 1 0 1 225 5 0.0 1 5 226 3 0.0 1 2 1 259 1 0.0 1 1 261 3 0.0 1 3 274 1 0.0 1 1 WARNING: One or more of your adapter sequences may be incomplete. Please see the detailed output above.