This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g TCTTGG -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 93.51 s (29 us/read; 2.05 M reads/minute). === Summary === Total reads processed: 3,193,041 Reads with adapters: 54,891 (1.7%) Reads that were too short: 3,734 (0.1%) Reads written (passing filters): 51,157 (1.6%) Total basepairs processed: 961,105,341 bp Total written (filtered): 10,790,465 bp (1.1%) === Adapter 1 === Sequence: TCTTGG; Type: regular 5'; Length: 6; Trimmed: 54891 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 3764 779.6 0 3764 7 2348 779.6 0 2348 8 3927 779.6 0 3927 9 5458 779.6 0 5458 10 23 779.6 0 23 11 14 779.6 0 14 12 8 779.6 0 8 13 14 779.6 0 14 14 18 779.6 0 18 15 21 779.6 0 21 16 7 779.6 0 7 17 16 779.6 0 16 18 24 779.6 0 24 19 33 779.6 0 33 20 28 779.6 0 28 21 21 779.6 0 21 22 30 779.6 0 30 23 27 779.6 0 27 24 59 779.6 0 59 25 15 779.6 0 15 26 26 779.6 0 26 27 38 779.6 0 38 28 23 779.6 0 23 29 15 779.6 0 15 30 30 779.6 0 30 31 24 779.6 0 24 32 38 779.6 0 38 33 32 779.6 0 32 34 38 779.6 0 38 35 75 779.6 0 75 36 86 779.6 0 86 37 1188 779.6 0 1188 38 1011 779.6 0 1011 39 1863 779.6 0 1863 40 14 779.6 0 14 41 9 779.6 0 9 42 10 779.6 0 10 43 18 779.6 0 18 44 17 779.6 0 17 45 29 779.6 0 29 46 12 779.6 0 12 47 16 779.6 0 16 48 15 779.6 0 15 49 14 779.6 0 14 50 15 779.6 0 15 51 7 779.6 0 7 52 13 779.6 0 13 53 12 779.6 0 12 54 15 779.6 0 15 55 8 779.6 0 8 56 16 779.6 0 16 57 8 779.6 0 8 58 16 779.6 0 16 59 11 779.6 0 11 60 21 779.6 0 21 61 9 779.6 0 9 62 38 779.6 0 38 63 27 779.6 0 27 64 17 779.6 0 17 65 12 779.6 0 12 66 9 779.6 0 9 67 8 779.6 0 8 68 17 779.6 0 17 69 8 779.6 0 8 70 24 779.6 0 24 71 44 779.6 0 44 72 26 779.6 0 26 73 10 779.6 0 10 74 23 779.6 0 23 75 65 779.6 0 65 76 15 779.6 0 15 77 16 779.6 0 16 78 16 779.6 0 16 79 31 779.6 0 31 80 22 779.6 0 22 81 13 779.6 0 13 82 11 779.6 0 11 83 12 779.6 0 12 84 8 779.6 0 8 85 18 779.6 0 18 86 20 779.6 0 20 87 9 779.6 0 9 88 11 779.6 0 11 89 15 779.6 0 15 90 28 779.6 0 28 91 225 779.6 0 225 92 270 779.6 0 270 93 151 779.6 0 151 94 26 779.6 0 26 95 13 779.6 0 13 96 10 779.6 0 10 97 11 779.6 0 11 98 19 779.6 0 19 99 11 779.6 0 11 100 21 779.6 0 21 101 18 779.6 0 18 102 12 779.6 0 12 103 17 779.6 0 17 104 26 779.6 0 26 105 12 779.6 0 12 106 18 779.6 0 18 107 17 779.6 0 17 108 15 779.6 0 15 109 16 779.6 0 16 110 23 779.6 0 23 111 9 779.6 0 9 112 31 779.6 0 31 113 91 779.6 0 91 114 43 779.6 0 43 115 33 779.6 0 33 116 40 779.6 0 40 117 16 779.6 0 16 118 36 779.6 0 36 119 25 779.6 0 25 120 24 779.6 0 24 121 16 779.6 0 16 122 21 779.6 0 21 123 14 779.6 0 14 124 26 779.6 0 26 125 33 779.6 0 33 126 41 779.6 0 41 127 57 779.6 0 57 128 103 779.6 0 103 129 350 779.6 0 350 130 149 779.6 0 149 131 791 779.6 0 791 132 119 779.6 0 119 133 77 779.6 0 77 134 59 779.6 0 59 135 104 779.6 0 104 136 165 779.6 0 165 137 131 779.6 0 131 138 134 779.6 0 134 139 157 779.6 0 157 140 249 779.6 0 249 141 610 779.6 0 610 142 14187 779.6 0 14187 143 5519 779.6 0 5519 144 3251 779.6 0 3251 145 26 779.6 0 26 146 14 779.6 0 14 147 10 779.6 0 10 148 12 779.6 0 12 149 50 779.6 0 50 150 208 779.6 0 208 151 120 779.6 0 120 152 12 779.6 0 12 153 8 779.6 0 8 154 9 779.6 0 9 155 7 779.6 0 7 156 11 779.6 0 11 157 16 779.6 0 16 158 9 779.6 0 9 159 14 779.6 0 14 160 10 779.6 0 10 161 7 779.6 0 7 162 8 779.6 0 8 163 17 779.6 0 17 164 9 779.6 0 9 165 9 779.6 0 9 166 13 779.6 0 13 167 11 779.6 0 11 168 20 779.6 0 20 169 19 779.6 0 19 170 32 779.6 0 32 171 38 779.6 0 38 172 5 779.6 0 5 173 18 779.6 0 18 174 19 779.6 0 19 175 15 779.6 0 15 176 19 779.6 0 19 177 41 779.6 0 41 178 142 779.6 0 142 179 952 779.6 0 952 180 7 779.6 0 7 181 9 779.6 0 9 182 22 779.6 0 22 183 11 779.6 0 11 184 12 779.6 0 12 185 13 779.6 0 13 186 13 779.6 0 13 187 12 779.6 0 12 188 12 779.6 0 12 189 4 779.6 0 4 190 30 779.6 0 30 191 67 779.6 0 67 192 72 779.6 0 72 193 13 779.6 0 13 194 7 779.6 0 7 195 6 779.6 0 6 196 5 779.6 0 5 197 12 779.6 0 12 198 6 779.6 0 6 199 11 779.6 0 11 200 6 779.6 0 6 201 15 779.6 0 15 202 21 779.6 0 21 203 83 779.6 0 83 204 20 779.6 0 20 205 25 779.6 0 25 206 11 779.6 0 11 207 9 779.6 0 9 208 9 779.6 0 9 209 20 779.6 0 20 210 33 779.6 0 33 211 64 779.6 0 64 212 22 779.6 0 22 213 26 779.6 0 26 214 176 779.6 0 176 215 90 779.6 0 90 216 139 779.6 0 139 217 31 779.6 0 31 218 20 779.6 0 20 219 11 779.6 0 11 220 10 779.6 0 10 221 11 779.6 0 11 222 13 779.6 0 13 223 8 779.6 0 8 224 19 779.6 0 19 225 24 779.6 0 24 226 23 779.6 0 23 227 38 779.6 0 38 228 38 779.6 0 38 229 68 779.6 0 68 230 51 779.6 0 51 231 87 779.6 0 87 232 34 779.6 0 34 233 18 779.6 0 18 234 49 779.6 0 49 235 392 779.6 0 392 236 640 779.6 0 640 237 129 779.6 0 129 238 13 779.6 0 13 239 7 779.6 0 7 240 9 779.6 0 9 241 6 779.6 0 6 242 9 779.6 0 9 243 6 779.6 0 6 244 6 779.6 0 6 245 8 779.6 0 8 246 10 779.6 0 10 247 8 779.6 0 8 248 8 779.6 0 8 249 13 779.6 0 13 250 12 779.6 0 12 251 19 779.6 0 19 252 10 779.6 0 10 253 7 779.6 0 7 254 17 779.6 0 17 255 16 779.6 0 16 256 16 779.6 0 16 257 6 779.6 0 6 258 5 779.6 0 5 259 6 779.6 0 6 260 16 779.6 0 16 261 22 779.6 0 22 262 40 779.6 0 40 263 63 779.6 0 63 264 285 779.6 0 285 265 19 779.6 0 19 266 15 779.6 0 15 267 7 779.6 0 7 268 7 779.6 0 7 269 4 779.6 0 4 270 7 779.6 0 7 271 13 779.6 0 13 272 14 779.6 0 14 273 9 779.6 0 9 274 9 779.6 0 9 275 11 779.6 0 11 276 13 779.6 0 13 277 29 779.6 0 29 278 10 779.6 0 10 279 13 779.6 0 13 280 6 779.6 0 6 281 10 779.6 0 10 282 12 779.6 0 12 283 11 779.6 0 11 284 25 779.6 0 25 285 11 779.6 0 11 286 7 779.6 0 7 287 50 779.6 0 50 288 9 779.6 0 9 289 6 779.6 0 6 290 10 779.6 0 10 291 27 779.6 0 27 292 14 779.6 0 14 293 13 779.6 0 13 294 20 779.6 0 20 295 17 779.6 0 17 296 30 779.6 0 30 297 51 779.6 0 51 298 23 779.6 0 23 299 59 779.6 0 59 300 19 779.6 0 19 301 19 779.6 0 19 Finished in 2.39 s (47 us/read; 1.28 M reads/minute). === Summary === Total reads processed: 51,157 Reads with adapters: 8,323 (16.3%) Reads that were too short: 2 (0.0%) Reads written (passing filters): 8,321 (16.3%) Total basepairs processed: 10,790,465 bp Total written (filtered): 2,264,505 bp (21.0%) === Adapter 1 === Sequence: GGACTACNNGGGTATCTAAT; Type: regular 5'; Length: 20; Trimmed: 8323 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 4 0.0 3 0 0 0 0 4 18 3 0.0 3 0 0 0 1 2 19 43 0.0 3 0 41 1 1 20 5702 0.0 4 5595 105 1 0 1 21 2226 0.0 4 2178 47 0 0 1 22 23 0.0 4 6 16 1 23 299 0.0 4 297 2 24 6 0.0 4 1 3 0 0 2 42 5 0.0 4 0 0 0 0 5 97 1 0.0 4 0 0 0 0 1 128 8 0.0 4 0 0 0 0 8 130 1 0.0 4 0 0 0 0 1 199 1 0.0 4 0 0 0 0 1 208 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 0.32 s (38 us/read; 1.56 M reads/minute). === Summary === Total reads processed: 8,321 Reads with adapters: 2,794 (33.6%) Reads written (passing filters): 8,321 (100.0%) Total basepairs processed: 2,264,505 bp Total written (filtered): 1,551,796 bp (68.5%) === Adapter 1 === Sequence: CTGSTGCVYCCCRTAGG; Type: regular 3'; Length: 17; Trimmed: 2794 times. No. of allowed errors: 0-9 bp: 0; 10-17 bp: 1 Bases preceding removed adapters: A: 2.5% C: 55.9% G: 4.4% T: 36.3% none/other: 0.9% Overview of removed sequences length count expect max.err error counts 8 1 0.1 0 1 9 2 0.0 0 0 2 10 25 0.0 1 0 25 11 95 0.0 1 0 95 224 19 0.0 1 18 1 225 1 0.0 1 1 259 8 0.0 1 7 1 260 53 0.0 1 50 3 261 6 0.0 1 6 262 343 0.0 1 314 29 263 13 0.0 1 13 264 4 0.0 1 4 265 2 0.0 1 2 266 8 0.0 1 8 267 1087 0.0 1 1039 48 268 1014 0.0 1 991 23 269 63 0.0 1 60 3 270 15 0.0 1 15 271 8 0.0 1 7 1 272 27 0.0 1 25 2