This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g TCGTTA -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 164.06 s (31 us/read; 1.95 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 51,198 (1.0%) Reads that were too short: 21,818 (0.4%) Reads written (passing filters): 29,380 (0.6%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 5,457,842 bp (0.3%) === Adapter 1 === Sequence: TCGTTA; Type: regular 5'; Length: 6; Trimmed: 51198 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 32 1302.2 0 32 7 65 1302.2 0 65 8 992 1302.2 0 992 9 3640 1302.2 0 3640 10 15 1302.2 0 15 11 6 1302.2 0 6 12 10 1302.2 0 10 13 12 1302.2 0 12 14 3 1302.2 0 3 15 2 1302.2 0 2 16 9 1302.2 0 9 17 6 1302.2 0 6 18 10 1302.2 0 10 19 13 1302.2 0 13 20 6 1302.2 0 6 21 10 1302.2 0 10 22 5 1302.2 0 5 23 10 1302.2 0 10 24 11 1302.2 0 11 25 7 1302.2 0 7 26 10 1302.2 0 10 27 10 1302.2 0 10 28 11 1302.2 0 11 29 8 1302.2 0 8 30 10 1302.2 0 10 31 11 1302.2 0 11 32 13 1302.2 0 13 33 12 1302.2 0 12 34 15 1302.2 0 15 35 6 1302.2 0 6 36 9 1302.2 0 9 37 15 1302.2 0 15 38 39 1302.2 0 39 39 16 1302.2 0 16 40 20 1302.2 0 20 41 7 1302.2 0 7 42 11 1302.2 0 11 43 18 1302.2 0 18 44 18 1302.2 0 18 45 9 1302.2 0 9 46 63 1302.2 0 63 47 31 1302.2 0 31 48 10 1302.2 0 10 49 14 1302.2 0 14 50 15 1302.2 0 15 51 20 1302.2 0 20 52 13 1302.2 0 13 53 14 1302.2 0 14 54 16 1302.2 0 16 55 19 1302.2 0 19 56 12 1302.2 0 12 57 13 1302.2 0 13 58 7 1302.2 0 7 59 6 1302.2 0 6 60 10 1302.2 0 10 61 7 1302.2 0 7 62 6 1302.2 0 6 63 32 1302.2 0 32 64 8 1302.2 0 8 65 30 1302.2 0 30 66 17 1302.2 0 17 67 18 1302.2 0 18 68 16 1302.2 0 16 69 7 1302.2 0 7 70 12 1302.2 0 12 71 17 1302.2 0 17 72 23 1302.2 0 23 73 16 1302.2 0 16 74 43 1302.2 0 43 75 26 1302.2 0 26 76 25 1302.2 0 25 77 22 1302.2 0 22 78 57 1302.2 0 57 79 34 1302.2 0 34 80 38 1302.2 0 38 81 21 1302.2 0 21 82 20 1302.2 0 20 83 36 1302.2 0 36 84 19 1302.2 0 19 85 30 1302.2 0 30 86 24 1302.2 0 24 87 15 1302.2 0 15 88 26 1302.2 0 26 89 13 1302.2 0 13 90 12 1302.2 0 12 91 24 1302.2 0 24 92 24 1302.2 0 24 93 43 1302.2 0 43 94 100 1302.2 0 100 95 480 1302.2 0 480 96 179 1302.2 0 179 97 371 1302.2 0 371 98 285 1302.2 0 285 99 452 1302.2 0 452 100 266 1302.2 0 266 101 112 1302.2 0 112 102 176 1302.2 0 176 103 31 1302.2 0 31 104 37 1302.2 0 37 105 38 1302.2 0 38 106 55 1302.2 0 55 107 58 1302.2 0 58 108 60 1302.2 0 60 109 141 1302.2 0 141 110 112 1302.2 0 112 111 400 1302.2 0 400 112 7703 1302.2 0 7703 113 304 1302.2 0 304 114 18 1302.2 0 18 115 38 1302.2 0 38 116 41 1302.2 0 41 117 88 1302.2 0 88 118 35 1302.2 0 35 119 23 1302.2 0 23 120 119 1302.2 0 119 121 65 1302.2 0 65 122 67 1302.2 0 67 123 39 1302.2 0 39 124 26 1302.2 0 26 125 49 1302.2 0 49 126 69 1302.2 0 69 127 70 1302.2 0 70 128 37 1302.2 0 37 129 51 1302.2 0 51 130 71 1302.2 0 71 131 59 1302.2 0 59 132 162 1302.2 0 162 133 200 1302.2 0 200 134 324 1302.2 0 324 135 170 1302.2 0 170 136 206 1302.2 0 206 137 104 1302.2 0 104 138 83 1302.2 0 83 139 87 1302.2 0 87 140 214 1302.2 0 214 141 54 1302.2 0 54 142 62 1302.2 0 62 143 18 1302.2 0 18 144 45 1302.2 0 45 145 50 1302.2 0 50 146 151 1302.2 0 151 147 103 1302.2 0 103 148 72 1302.2 0 72 149 55 1302.2 0 55 150 36 1302.2 0 36 151 38 1302.2 0 38 152 20 1302.2 0 20 153 21 1302.2 0 21 154 28 1302.2 0 28 155 60 1302.2 0 60 156 182 1302.2 0 182 157 93 1302.2 0 93 158 55 1302.2 0 55 159 74 1302.2 0 74 160 74 1302.2 0 74 161 62 1302.2 0 62 162 67 1302.2 0 67 163 45 1302.2 0 45 164 72 1302.2 0 72 165 65 1302.2 0 65 166 265 1302.2 0 265 167 138 1302.2 0 138 168 192 1302.2 0 192 169 126 1302.2 0 126 170 64 1302.2 0 64 171 46 1302.2 0 46 172 54 1302.2 0 54 173 172 1302.2 0 172 174 160 1302.2 0 160 175 206 1302.2 0 206 176 149 1302.2 0 149 177 44 1302.2 0 44 178 50 1302.2 0 50 179 228 1302.2 0 228 180 183 1302.2 0 183 181 440 1302.2 0 440 182 236 1302.2 0 236 183 138 1302.2 0 138 184 117 1302.2 0 117 185 248 1302.2 0 248 186 322 1302.2 0 322 187 145 1302.2 0 145 188 31 1302.2 0 31 189 28 1302.2 0 28 190 39 1302.2 0 39 191 66 1302.2 0 66 192 138 1302.2 0 138 193 695 1302.2 0 695 194 651 1302.2 0 651 195 524 1302.2 0 524 196 473 1302.2 0 473 197 247 1302.2 0 247 198 122 1302.2 0 122 199 320 1302.2 0 320 200 298 1302.2 0 298 201 392 1302.2 0 392 202 286 1302.2 0 286 203 100 1302.2 0 100 204 124 1302.2 0 124 205 159 1302.2 0 159 206 169 1302.2 0 169 207 188 1302.2 0 188 208 148 1302.2 0 148 209 108 1302.2 0 108 210 104 1302.2 0 104 211 136 1302.2 0 136 212 221 1302.2 0 221 213 139 1302.2 0 139 214 112 1302.2 0 112 215 225 1302.2 0 225 216 270 1302.2 0 270 217 376 1302.2 0 376 218 178 1302.2 0 178 219 227 1302.2 0 227 220 507 1302.2 0 507 221 692 1302.2 0 692 222 1263 1302.2 0 1263 223 215 1302.2 0 215 224 54 1302.2 0 54 225 125 1302.2 0 125 226 153 1302.2 0 153 227 215 1302.2 0 215 228 260 1302.2 0 260 229 181 1302.2 0 181 230 115 1302.2 0 115 231 55 1302.2 0 55 232 39 1302.2 0 39 233 64 1302.2 0 64 234 78 1302.2 0 78 235 70 1302.2 0 70 236 115 1302.2 0 115 237 228 1302.2 0 228 238 124 1302.2 0 124 239 225 1302.2 0 225 240 54 1302.2 0 54 241 64 1302.2 0 64 242 99 1302.2 0 99 243 150 1302.2 0 150 244 145 1302.2 0 145 245 225 1302.2 0 225 246 171 1302.2 0 171 247 132 1302.2 0 132 248 73 1302.2 0 73 249 53 1302.2 0 53 250 21 1302.2 0 21 251 39 1302.2 0 39 252 81 1302.2 0 81 253 100 1302.2 0 100 254 361 1302.2 0 361 255 605 1302.2 0 605 256 1234 1302.2 0 1234 257 347 1302.2 0 347 258 262 1302.2 0 262 259 155 1302.2 0 155 260 102 1302.2 0 102 261 66 1302.2 0 66 262 431 1302.2 0 431 263 2477 1302.2 0 2477 264 2506 1302.2 0 2506 265 177 1302.2 0 177 266 276 1302.2 0 276 267 222 1302.2 0 222 268 306 1302.2 0 306 269 112 1302.2 0 112 270 207 1302.2 0 207 271 46 1302.2 0 46 272 55 1302.2 0 55 273 95 1302.2 0 95 274 83 1302.2 0 83 275 114 1302.2 0 114 276 60 1302.2 0 60 277 50 1302.2 0 50 278 53 1302.2 0 53 279 116 1302.2 0 116 280 187 1302.2 0 187 281 147 1302.2 0 147 282 70 1302.2 0 70 283 73 1302.2 0 73 284 91 1302.2 0 91 285 105 1302.2 0 105 286 205 1302.2 0 205 287 191 1302.2 0 191 288 35 1302.2 0 35 289 20 1302.2 0 20 290 34 1302.2 0 34 291 37 1302.2 0 37 292 63 1302.2 0 63 293 70 1302.2 0 70 294 113 1302.2 0 113 295 158 1302.2 0 158 296 32 1302.2 0 32 297 16 1302.2 0 16 298 18 1302.2 0 18 299 37 1302.2 0 37 300 46 1302.2 0 46 301 97 1302.2 0 97 Finished in 1.22 s (42 us/read; 1.44 M reads/minute). === Summary === Total reads processed: 29,380 Reads with adapters: 1,066 (3.6%) Reads that were too short: 163 (0.6%) Reads written (passing filters): 903 (3.1%) Total basepairs processed: 5,457,842 bp Total written (filtered): 244,990 bp (4.5%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 1066 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 2 0.0 3 0 0 1 1 16 3 0.0 3 0 3 17 833 0.0 3 822 10 0 1 18 21 0.0 3 0 1 18 2 19 16 0.0 3 1 0 6 9 20 1 0.0 3 0 0 0 1 21 1 0.0 3 0 0 0 1 62 2 0.0 3 0 0 0 2 64 1 0.0 3 0 0 0 1 73 1 0.0 3 0 0 0 1 75 6 0.0 3 0 0 0 6 76 8 0.0 3 0 0 0 8 78 2 0.0 3 0 0 0 2 79 3 0.0 3 0 0 0 3 93 1 0.0 3 0 0 0 1 97 1 0.0 3 0 0 0 1 102 1 0.0 3 0 0 0 1 158 1 0.0 3 0 0 0 1 186 2 0.0 3 0 0 0 2 187 87 0.0 3 0 0 0 87 188 70 0.0 3 0 0 0 70 189 2 0.0 3 0 0 0 2 194 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 0.04 s (44 us/read; 1.35 M reads/minute). === Summary === Total reads processed: 903 Reads with adapters: 5 (0.6%) Reads written (passing filters): 903 (100.0%) Total basepairs processed: 244,990 bp Total written (filtered): 244,975 bp (100.0%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 5 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 0.0% C: 0.0% G: 100.0% T: 0.0% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 5 14.1 0 5