This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g AGCTGG -e 0 -O 6 - Trimming 1 adapter with at most 0.0% errors in single-end mode ... Finished in 175.76 s (33 us/read; 1.82 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 55,131 (1.0%) Reads that were too short: 26,539 (0.5%) Reads written (passing filters): 28,592 (0.5%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 5,938,224 bp (0.4%) === Adapter 1 === Sequence: AGCTGG; Type: regular 5'; Length: 6; Trimmed: 55131 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 178 1302.2 0 178 7 7214 1302.2 0 7214 8 25 1302.2 0 25 9 244 1302.2 0 244 10 24 1302.2 0 24 11 102 1302.2 0 102 12 36 1302.2 0 36 13 17 1302.2 0 17 14 22 1302.2 0 22 15 30 1302.2 0 30 16 24 1302.2 0 24 17 25 1302.2 0 25 18 41 1302.2 0 41 19 17 1302.2 0 17 20 17 1302.2 0 17 21 42 1302.2 0 42 22 27 1302.2 0 27 23 15 1302.2 0 15 24 19 1302.2 0 19 25 12 1302.2 0 12 26 21 1302.2 0 21 27 21 1302.2 0 21 28 17 1302.2 0 17 29 19 1302.2 0 19 30 17 1302.2 0 17 31 18 1302.2 0 18 32 20 1302.2 0 20 33 24 1302.2 0 24 34 23 1302.2 0 23 35 26 1302.2 0 26 36 23 1302.2 0 23 37 20 1302.2 0 20 38 23 1302.2 0 23 39 34 1302.2 0 34 40 36 1302.2 0 36 41 23 1302.2 0 23 42 25 1302.2 0 25 43 17 1302.2 0 17 44 28 1302.2 0 28 45 22 1302.2 0 22 46 23 1302.2 0 23 47 17 1302.2 0 17 48 19 1302.2 0 19 49 21 1302.2 0 21 50 19 1302.2 0 19 51 48 1302.2 0 48 52 118 1302.2 0 118 53 29 1302.2 0 29 54 52 1302.2 0 52 55 251 1302.2 0 251 56 311 1302.2 0 311 57 175 1302.2 0 175 58 112 1302.2 0 112 59 28 1302.2 0 28 60 13 1302.2 0 13 61 16 1302.2 0 16 62 40 1302.2 0 40 63 35 1302.2 0 35 64 22 1302.2 0 22 65 21 1302.2 0 21 66 16 1302.2 0 16 67 18 1302.2 0 18 68 24 1302.2 0 24 69 21 1302.2 0 21 70 38 1302.2 0 38 71 21 1302.2 0 21 72 27 1302.2 0 27 73 19 1302.2 0 19 74 22 1302.2 0 22 75 23 1302.2 0 23 76 14 1302.2 0 14 77 24 1302.2 0 24 78 46 1302.2 0 46 79 319 1302.2 0 319 80 48 1302.2 0 48 81 201 1302.2 0 201 82 56 1302.2 0 56 83 452 1302.2 0 452 84 93 1302.2 0 93 85 1097 1302.2 0 1097 86 17 1302.2 0 17 87 18 1302.2 0 18 88 22 1302.2 0 22 89 17 1302.2 0 17 90 13 1302.2 0 13 91 22 1302.2 0 22 92 11 1302.2 0 11 93 23 1302.2 0 23 94 22 1302.2 0 22 95 32 1302.2 0 32 96 30 1302.2 0 30 97 26 1302.2 0 26 98 27 1302.2 0 27 99 35 1302.2 0 35 100 70 1302.2 0 70 101 51 1302.2 0 51 102 36 1302.2 0 36 103 55 1302.2 0 55 104 27 1302.2 0 27 105 29 1302.2 0 29 106 26 1302.2 0 26 107 36 1302.2 0 36 108 41 1302.2 0 41 109 30 1302.2 0 30 110 42 1302.2 0 42 111 51 1302.2 0 51 112 67 1302.2 0 67 113 610 1302.2 0 610 114 1862 1302.2 0 1862 115 1763 1302.2 0 1763 116 19 1302.2 0 19 117 20 1302.2 0 20 118 17 1302.2 0 17 119 33 1302.2 0 33 120 23 1302.2 0 23 121 23 1302.2 0 23 122 25 1302.2 0 25 123 31 1302.2 0 31 124 30 1302.2 0 30 125 26 1302.2 0 26 126 12 1302.2 0 12 127 16 1302.2 0 16 128 22 1302.2 0 22 129 28 1302.2 0 28 130 90 1302.2 0 90 131 110 1302.2 0 110 132 41 1302.2 0 41 133 37 1302.2 0 37 134 40 1302.2 0 40 135 34 1302.2 0 34 136 45 1302.2 0 45 137 54 1302.2 0 54 138 54 1302.2 0 54 139 40 1302.2 0 40 140 50 1302.2 0 50 141 43 1302.2 0 43 142 48 1302.2 0 48 143 65 1302.2 0 65 144 87 1302.2 0 87 145 39 1302.2 0 39 146 55 1302.2 0 55 147 29 1302.2 0 29 148 64 1302.2 0 64 149 98 1302.2 0 98 150 45 1302.2 0 45 151 38 1302.2 0 38 152 66 1302.2 0 66 153 81 1302.2 0 81 154 232 1302.2 0 232 155 4043 1302.2 0 4043 156 683 1302.2 0 683 157 1514 1302.2 0 1514 158 225 1302.2 0 225 159 49 1302.2 0 49 160 22 1302.2 0 22 161 31 1302.2 0 31 162 39 1302.2 0 39 163 60 1302.2 0 60 164 42 1302.2 0 42 165 57 1302.2 0 57 166 46 1302.2 0 46 167 252 1302.2 0 252 168 150 1302.2 0 150 169 603 1302.2 0 603 170 33 1302.2 0 33 171 27 1302.2 0 27 172 25 1302.2 0 25 173 20 1302.2 0 20 174 27 1302.2 0 27 175 22 1302.2 0 22 176 18 1302.2 0 18 177 27 1302.2 0 27 178 25 1302.2 0 25 179 17 1302.2 0 17 180 50 1302.2 0 50 181 34 1302.2 0 34 182 43 1302.2 0 43 183 30 1302.2 0 30 184 41 1302.2 0 41 185 27 1302.2 0 27 186 23 1302.2 0 23 187 17 1302.2 0 17 188 23 1302.2 0 23 189 33 1302.2 0 33 190 41 1302.2 0 41 191 35 1302.2 0 35 192 41 1302.2 0 41 193 24 1302.2 0 24 194 14 1302.2 0 14 195 22 1302.2 0 22 196 32 1302.2 0 32 197 28 1302.2 0 28 198 29 1302.2 0 29 199 32 1302.2 0 32 200 173 1302.2 0 173 201 185 1302.2 0 185 202 74 1302.2 0 74 203 41 1302.2 0 41 204 51 1302.2 0 51 205 36 1302.2 0 36 206 28 1302.2 0 28 207 19 1302.2 0 19 208 12 1302.2 0 12 209 24 1302.2 0 24 210 37 1302.2 0 37 211 83 1302.2 0 83 212 91 1302.2 0 91 213 118 1302.2 0 118 214 37 1302.2 0 37 215 28 1302.2 0 28 216 67 1302.2 0 67 217 68 1302.2 0 68 218 70 1302.2 0 70 219 15 1302.2 0 15 220 23 1302.2 0 23 221 26 1302.2 0 26 222 19 1302.2 0 19 223 27 1302.2 0 27 224 42 1302.2 0 42 225 49 1302.2 0 49 226 43 1302.2 0 43 227 46 1302.2 0 46 228 33 1302.2 0 33 229 33 1302.2 0 33 230 34 1302.2 0 34 231 48 1302.2 0 48 232 49 1302.2 0 49 233 41 1302.2 0 41 234 28 1302.2 0 28 235 30 1302.2 0 30 236 51 1302.2 0 51 237 24 1302.2 0 24 238 20 1302.2 0 20 239 16 1302.2 0 16 240 26 1302.2 0 26 241 12 1302.2 0 12 242 17 1302.2 0 17 243 33 1302.2 0 33 244 26 1302.2 0 26 245 35 1302.2 0 35 246 20 1302.2 0 20 247 21 1302.2 0 21 248 12 1302.2 0 12 249 27 1302.2 0 27 250 23 1302.2 0 23 251 33 1302.2 0 33 252 70 1302.2 0 70 253 56 1302.2 0 56 254 71 1302.2 0 71 255 126 1302.2 0 126 256 127 1302.2 0 127 257 52 1302.2 0 52 258 25 1302.2 0 25 259 17 1302.2 0 17 260 20 1302.2 0 20 261 27 1302.2 0 27 262 31 1302.2 0 31 263 53 1302.2 0 53 264 52 1302.2 0 52 265 46 1302.2 0 46 266 17 1302.2 0 17 267 29 1302.2 0 29 268 19 1302.2 0 19 269 18 1302.2 0 18 270 28 1302.2 0 28 271 43 1302.2 0 43 272 31 1302.2 0 31 273 30 1302.2 0 30 274 46 1302.2 0 46 275 21 1302.2 0 21 276 35 1302.2 0 35 277 26 1302.2 0 26 278 33 1302.2 0 33 279 43 1302.2 0 43 280 40 1302.2 0 40 281 49 1302.2 0 49 282 34 1302.2 0 34 283 32 1302.2 0 32 284 100 1302.2 0 100 285 77 1302.2 0 77 286 39 1302.2 0 39 287 32 1302.2 0 32 288 63 1302.2 0 63 289 38 1302.2 0 38 290 51 1302.2 0 51 291 142 1302.2 0 142 292 260 1302.2 0 260 293 207 1302.2 0 207 294 124 1302.2 0 124 295 139 1302.2 0 139 296 455 1302.2 0 455 297 3170 1302.2 0 3170 298 6974 1302.2 0 6974 299 5782 1302.2 0 5782 300 5607 1302.2 0 5607 301 66 1302.2 0 66 Finished in 1.29 s (45 us/read; 1.33 M reads/minute). === Summary === Total reads processed: 28,592 Reads with adapters: 7,119 (24.9%) Reads that were too short: 6 (0.0%) Reads written (passing filters): 7,113 (24.9%) Total basepairs processed: 5,938,224 bp Total written (filtered): 1,968,827 bp (33.2%) === Adapter 1 === Sequence: CCTAYGGGRBGCASCAG; Type: regular 5'; Length: 17; Trimmed: 7119 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 14 2 0.0 2 0 0 0 2 15 4 0.0 3 0 0 3 1 16 32 0.0 3 0 30 1 1 17 6863 0.0 3 6730 126 6 1 18 67 0.0 3 2 10 50 5 19 126 0.0 3 0 0 39 87 20 11 0.0 3 0 0 0 11 32 5 0.0 3 0 0 0 5 35 2 0.0 3 0 0 0 2 51 1 0.0 3 0 0 0 1 96 1 0.0 3 0 0 0 1 115 1 0.0 3 0 0 0 1 135 1 0.0 3 0 0 0 1 136 1 0.0 3 0 0 0 1 146 1 0.0 3 0 0 0 1 236 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 0.32 s (45 us/read; 1.33 M reads/minute). === Summary === Total reads processed: 7,113 Reads with adapters: 465 (6.5%) Reads written (passing filters): 7,113 (100.0%) Total basepairs processed: 1,968,827 bp Total written (filtered): 1,967,418 bp (99.9%) === Adapter 1 === Sequence: TAATCTATGGGNNCATCAGG; Type: regular 3'; Length: 20; Trimmed: 465 times. No. of allowed errors: 0-9 bp: 0; 10-19 bp: 1; 20 bp: 2 Bases preceding removed adapters: A: 16.3% C: 63.9% G: 15.7% T: 4.1% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 458 111.1 0 458 4 3 27.8 0 3 5 3 6.9 0 3 8 1 0.1 0 1