This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g TAACAT -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 56.17 s (26 us/read; 2.34 M reads/minute). === Summary === Total reads processed: 2,192,295 Reads with adapters: 104,426 (4.8%) Reads that were too short: 27,506 (1.3%) Reads written (passing filters): 76,920 (3.5%) Total basepairs processed: 659,880,795 bp Total written (filtered): 20,954,249 bp (3.2%) === Adapter 1 === Sequence: TAACAT; Type: regular 5'; Length: 6; Trimmed: 104426 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 688 535.2 0 688 7 36190 535.2 0 36190 8 354 535.2 0 354 9 26870 535.2 0 26870 10 24 535.2 0 24 11 23 535.2 0 23 12 27 535.2 0 27 13 22 535.2 0 22 14 24 535.2 0 24 15 21 535.2 0 21 16 19 535.2 0 19 17 24 535.2 0 24 18 26 535.2 0 26 19 14 535.2 0 14 20 16 535.2 0 16 21 27 535.2 0 27 22 23 535.2 0 23 23 17 535.2 0 17 24 19 535.2 0 19 25 19 535.2 0 19 26 20 535.2 0 20 27 20 535.2 0 20 28 13 535.2 0 13 29 13 535.2 0 13 30 20 535.2 0 20 31 18 535.2 0 18 32 20 535.2 0 20 33 18 535.2 0 18 34 12 535.2 0 12 35 30 535.2 0 30 36 14 535.2 0 14 37 21 535.2 0 21 38 25 535.2 0 25 39 22 535.2 0 22 40 20 535.2 0 20 41 35 535.2 0 35 42 19 535.2 0 19 43 22 535.2 0 22 44 14 535.2 0 14 45 14 535.2 0 14 46 18 535.2 0 18 47 17 535.2 0 17 48 37 535.2 0 37 49 14 535.2 0 14 50 14 535.2 0 14 51 12 535.2 0 12 52 18 535.2 0 18 53 18 535.2 0 18 54 27 535.2 0 27 55 20 535.2 0 20 56 23 535.2 0 23 57 9 535.2 0 9 58 18 535.2 0 18 59 16 535.2 0 16 60 16 535.2 0 16 61 25 535.2 0 25 62 17 535.2 0 17 63 25 535.2 0 25 64 18 535.2 0 18 65 19 535.2 0 19 66 27 535.2 0 27 67 22 535.2 0 22 68 14 535.2 0 14 69 18 535.2 0 18 70 31 535.2 0 31 71 28 535.2 0 28 72 38 535.2 0 38 73 22 535.2 0 22 74 16 535.2 0 16 75 24 535.2 0 24 76 23 535.2 0 23 77 28 535.2 0 28 78 37 535.2 0 37 79 40 535.2 0 40 80 47 535.2 0 47 81 208 535.2 0 208 82 129 535.2 0 129 83 147 535.2 0 147 84 61 535.2 0 61 85 71 535.2 0 71 86 87 535.2 0 87 87 91 535.2 0 91 88 67 535.2 0 67 89 56 535.2 0 56 90 47 535.2 0 47 91 29 535.2 0 29 92 62 535.2 0 62 93 57 535.2 0 57 94 62 535.2 0 62 95 64 535.2 0 64 96 33 535.2 0 33 97 46 535.2 0 46 98 54 535.2 0 54 99 52 535.2 0 52 100 31 535.2 0 31 101 78 535.2 0 78 102 122 535.2 0 122 103 119 535.2 0 119 104 82 535.2 0 82 105 66 535.2 0 66 106 57 535.2 0 57 107 65 535.2 0 65 108 77 535.2 0 77 109 44 535.2 0 44 110 86 535.2 0 86 111 86 535.2 0 86 112 78 535.2 0 78 113 68 535.2 0 68 114 61 535.2 0 61 115 61 535.2 0 61 116 64 535.2 0 64 117 54 535.2 0 54 118 114 535.2 0 114 119 70 535.2 0 70 120 79 535.2 0 79 121 54 535.2 0 54 122 71 535.2 0 71 123 76 535.2 0 76 124 88 535.2 0 88 125 78 535.2 0 78 126 93 535.2 0 93 127 95 535.2 0 95 128 60 535.2 0 60 129 66 535.2 0 66 130 34 535.2 0 34 131 60 535.2 0 60 132 82 535.2 0 82 133 139 535.2 0 139 134 123 535.2 0 123 135 237 535.2 0 237 136 47 535.2 0 47 137 233 535.2 0 233 138 251 535.2 0 251 139 105 535.2 0 105 140 142 535.2 0 142 141 83 535.2 0 83 142 63 535.2 0 63 143 53 535.2 0 53 144 82 535.2 0 82 145 104 535.2 0 104 146 185 535.2 0 185 147 113 535.2 0 113 148 141 535.2 0 141 149 74 535.2 0 74 150 56 535.2 0 56 151 80 535.2 0 80 152 69 535.2 0 69 153 88 535.2 0 88 154 79 535.2 0 79 155 85 535.2 0 85 156 277 535.2 0 277 157 244 535.2 0 244 158 343 535.2 0 343 159 85 535.2 0 85 160 74 535.2 0 74 161 54 535.2 0 54 162 48 535.2 0 48 163 58 535.2 0 58 164 77 535.2 0 77 165 97 535.2 0 97 166 93 535.2 0 93 167 68 535.2 0 68 168 107 535.2 0 107 169 107 535.2 0 107 170 111 535.2 0 111 171 73 535.2 0 73 172 93 535.2 0 93 173 80 535.2 0 80 174 57 535.2 0 57 175 54 535.2 0 54 176 51 535.2 0 51 177 58 535.2 0 58 178 60 535.2 0 60 179 113 535.2 0 113 180 312 535.2 0 312 181 289 535.2 0 289 182 447 535.2 0 447 183 46 535.2 0 46 184 64 535.2 0 64 185 102 535.2 0 102 186 74 535.2 0 74 187 56 535.2 0 56 188 85 535.2 0 85 189 68 535.2 0 68 190 81 535.2 0 81 191 64 535.2 0 64 192 61 535.2 0 61 193 66 535.2 0 66 194 61 535.2 0 61 195 47 535.2 0 47 196 46 535.2 0 46 197 66 535.2 0 66 198 69 535.2 0 69 199 99 535.2 0 99 200 67 535.2 0 67 201 61 535.2 0 61 202 58 535.2 0 58 203 72 535.2 0 72 204 84 535.2 0 84 205 84 535.2 0 84 206 117 535.2 0 117 207 142 535.2 0 142 208 150 535.2 0 150 209 194 535.2 0 194 210 297 535.2 0 297 211 4623 535.2 0 4623 212 3579 535.2 0 3579 213 3231 535.2 0 3231 214 1380 535.2 0 1380 215 509 535.2 0 509 216 47 535.2 0 47 217 56 535.2 0 56 218 84 535.2 0 84 219 105 535.2 0 105 220 83 535.2 0 83 221 78 535.2 0 78 222 60 535.2 0 60 223 146 535.2 0 146 224 459 535.2 0 459 225 569 535.2 0 569 226 341 535.2 0 341 227 74 535.2 0 74 228 70 535.2 0 70 229 53 535.2 0 53 230 77 535.2 0 77 231 60 535.2 0 60 232 53 535.2 0 53 233 73 535.2 0 73 234 71 535.2 0 71 235 92 535.2 0 92 236 77 535.2 0 77 237 77 535.2 0 77 238 69 535.2 0 69 239 108 535.2 0 108 240 58 535.2 0 58 241 74 535.2 0 74 242 76 535.2 0 76 243 94 535.2 0 94 244 77 535.2 0 77 245 84 535.2 0 84 246 70 535.2 0 70 247 67 535.2 0 67 248 62 535.2 0 62 249 56 535.2 0 56 250 69 535.2 0 69 251 47 535.2 0 47 252 69 535.2 0 69 253 86 535.2 0 86 254 78 535.2 0 78 255 70 535.2 0 70 256 80 535.2 0 80 257 90 535.2 0 90 258 94 535.2 0 94 259 83 535.2 0 83 260 94 535.2 0 94 261 76 535.2 0 76 262 75 535.2 0 75 263 76 535.2 0 76 264 88 535.2 0 88 265 100 535.2 0 100 266 113 535.2 0 113 267 150 535.2 0 150 268 141 535.2 0 141 269 128 535.2 0 128 270 421 535.2 0 421 271 918 535.2 0 918 272 751 535.2 0 751 273 164 535.2 0 164 274 142 535.2 0 142 275 109 535.2 0 109 276 87 535.2 0 87 277 105 535.2 0 105 278 130 535.2 0 130 279 127 535.2 0 127 280 95 535.2 0 95 281 74 535.2 0 74 282 79 535.2 0 79 283 90 535.2 0 90 284 95 535.2 0 95 285 100 535.2 0 100 286 103 535.2 0 103 287 128 535.2 0 128 288 146 535.2 0 146 289 114 535.2 0 114 290 104 535.2 0 104 291 103 535.2 0 103 292 561 535.2 0 561 293 1095 535.2 0 1095 294 845 535.2 0 845 295 184 535.2 0 184 296 113 535.2 0 113 297 71 535.2 0 71 298 69 535.2 0 69 299 81 535.2 0 81 300 98 535.2 0 98 301 177 535.2 0 177 Finished in 3.69 s (48 us/read; 1.25 M reads/minute). === Summary === Total reads processed: 76,920 Reads with adapters: 27,389 (35.6%) Reads that were too short: 18 (0.0%) Reads written (passing filters): 27,371 (35.6%) Total basepairs processed: 20,954,249 bp Total written (filtered): 7,525,429 bp (35.9%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 27389 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 15 9 0.0 3 0 0 9 16 166 0.0 3 0 163 3 17 27074 0.0 3 26604 454 15 1 18 74 0.0 3 1 72 1 19 19 0.0 3 0 0 14 5 20 10 0.0 3 0 1 0 9 25 2 0.0 3 1 0 0 1 33 2 0.0 3 0 0 0 2 36 1 0.0 3 1 39 1 0.0 3 1 40 1 0.0 3 0 0 0 1 52 1 0.0 3 0 0 0 1 55 1 0.0 3 0 0 0 1 59 1 0.0 3 0 0 0 1 65 1 0.0 3 0 0 0 1 68 1 0.0 3 0 0 0 1 76 1 0.0 3 1 88 1 0.0 3 0 0 0 1 93 1 0.0 3 0 0 0 1 143 1 0.0 3 0 0 0 1 150 1 0.0 3 0 0 0 1 164 3 0.0 3 0 0 0 3 168 1 0.0 3 0 0 0 1 183 1 0.0 3 0 0 0 1 193 1 0.0 3 0 0 1 195 1 0.0 3 0 0 0 1 208 1 0.0 3 0 0 0 1 218 3 0.0 3 0 0 0 3 221 1 0.0 3 0 0 0 1 279 2 0.0 3 0 0 0 2 281 3 0.0 3 0 0 0 3 282 1 0.0 3 0 0 0 1 287 1 0.0 3 0 0 0 1 294 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 0.97 s (35 us/read; 1.69 M reads/minute). === Summary === Total reads processed: 27,371 Reads with adapters: 1,764 (6.4%) Reads written (passing filters): 27,371 (100.0%) Total basepairs processed: 7,525,429 bp Total written (filtered): 7,520,099 bp (99.9%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 1764 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 86.0% C: 6.7% G: 6.3% T: 1.0% none/other: 0.0% WARNING: The adapter is preceded by "A" extremely often. The provided adapter sequence may be incomplete. To fix the problem, add "A" to the beginning of the adapter sequence. Overview of removed sequences length count expect max.err error counts 3 1726 427.7 0 1726 4 38 106.9 0 38 WARNING: One or more of your adapter sequences may be incomplete. Please see the detailed output above.