This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g CATTAG -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 75.43 s (27 us/read; 2.25 M reads/minute). === Summary === Total reads processed: 2,834,615 Reads with adapters: 103,141 (3.6%) Reads that were too short: 9,559 (0.3%) Reads written (passing filters): 93,582 (3.3%) Total basepairs processed: 853,219,115 bp Total written (filtered): 18,969,494 bp (2.2%) === Adapter 1 === Sequence: CATTAG; Type: regular 5'; Length: 6; Trimmed: 103141 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 440 692.0 0 440 7 13276 692.0 0 13276 8 12597 692.0 0 12597 9 91 692.0 0 91 10 56 692.0 0 56 11 44 692.0 0 44 12 37 692.0 0 37 13 36 692.0 0 36 14 54 692.0 0 54 15 38 692.0 0 38 16 38 692.0 0 38 17 84 692.0 0 84 18 55 692.0 0 55 19 39 692.0 0 39 20 73 692.0 0 73 21 48 692.0 0 48 22 53 692.0 0 53 23 49 692.0 0 49 24 44 692.0 0 44 25 43 692.0 0 43 26 57 692.0 0 57 27 79 692.0 0 79 28 69 692.0 0 69 29 124 692.0 0 124 30 46 692.0 0 46 31 51 692.0 0 51 32 50 692.0 0 50 33 58 692.0 0 58 34 60 692.0 0 60 35 74 692.0 0 74 36 52 692.0 0 52 37 79 692.0 0 79 38 57 692.0 0 57 39 72 692.0 0 72 40 42 692.0 0 42 41 54 692.0 0 54 42 59 692.0 0 59 43 49 692.0 0 49 44 55 692.0 0 55 45 74 692.0 0 74 46 45 692.0 0 45 47 45 692.0 0 45 48 48 692.0 0 48 49 40 692.0 0 40 50 83 692.0 0 83 51 70 692.0 0 70 52 91 692.0 0 91 53 61 692.0 0 61 54 78 692.0 0 78 55 53 692.0 0 53 56 132 692.0 0 132 57 103 692.0 0 103 58 523 692.0 0 523 59 245 692.0 0 245 60 352 692.0 0 352 61 52 692.0 0 52 62 64 692.0 0 64 63 37 692.0 0 37 64 42 692.0 0 42 65 49 692.0 0 49 66 49 692.0 0 49 67 50 692.0 0 50 68 72 692.0 0 72 69 79 692.0 0 79 70 119 692.0 0 119 71 129 692.0 0 129 72 1230 692.0 0 1230 73 313 692.0 0 313 74 761 692.0 0 761 75 44 692.0 0 44 76 49 692.0 0 49 77 66 692.0 0 66 78 72 692.0 0 72 79 50 692.0 0 50 80 51 692.0 0 51 81 98 692.0 0 98 82 51 692.0 0 51 83 56 692.0 0 56 84 57 692.0 0 57 85 61 692.0 0 61 86 60 692.0 0 60 87 55 692.0 0 55 88 133 692.0 0 133 89 81 692.0 0 81 90 153 692.0 0 153 91 125 692.0 0 125 92 167 692.0 0 167 93 97 692.0 0 97 94 61 692.0 0 61 95 93 692.0 0 93 96 79 692.0 0 79 97 68 692.0 0 68 98 53 692.0 0 53 99 70 692.0 0 70 100 58 692.0 0 58 101 79 692.0 0 79 102 56 692.0 0 56 103 54 692.0 0 54 104 71 692.0 0 71 105 70 692.0 0 70 106 64 692.0 0 64 107 73 692.0 0 73 108 70 692.0 0 70 109 77 692.0 0 77 110 73 692.0 0 73 111 70 692.0 0 70 112 228 692.0 0 228 113 171 692.0 0 171 114 385 692.0 0 385 115 56 692.0 0 56 116 48 692.0 0 48 117 88 692.0 0 88 118 65 692.0 0 65 119 177 692.0 0 177 120 97 692.0 0 97 121 116 692.0 0 116 122 66 692.0 0 66 123 83 692.0 0 83 124 55 692.0 0 55 125 87 692.0 0 87 126 82 692.0 0 82 127 111 692.0 0 111 128 134 692.0 0 134 129 277 692.0 0 277 130 545 692.0 0 545 131 217 692.0 0 217 132 132 692.0 0 132 133 325 692.0 0 325 134 547 692.0 0 547 135 177 692.0 0 177 136 241 692.0 0 241 137 298 692.0 0 298 138 172 692.0 0 172 139 195 692.0 0 195 140 333 692.0 0 333 141 444 692.0 0 444 142 531 692.0 0 531 143 6243 692.0 0 6243 144 5726 692.0 0 5726 145 31716 692.0 0 31716 146 202 692.0 0 202 147 65 692.0 0 65 148 105 692.0 0 105 149 108 692.0 0 108 150 120 692.0 0 120 151 55 692.0 0 55 152 73 692.0 0 73 153 94 692.0 0 94 154 80 692.0 0 80 155 201 692.0 0 201 156 464 692.0 0 464 157 888 692.0 0 888 158 71 692.0 0 71 159 87 692.0 0 87 160 50 692.0 0 50 161 79 692.0 0 79 162 91 692.0 0 91 163 439 692.0 0 439 164 1050 692.0 0 1050 165 551 692.0 0 551 166 54 692.0 0 54 167 89 692.0 0 89 168 68 692.0 0 68 169 55 692.0 0 55 170 72 692.0 0 72 171 65 692.0 0 65 172 46 692.0 0 46 173 62 692.0 0 62 174 58 692.0 0 58 175 74 692.0 0 74 176 70 692.0 0 70 177 61 692.0 0 61 178 42 692.0 0 42 179 65 692.0 0 65 180 68 692.0 0 68 181 57 692.0 0 57 182 49 692.0 0 49 183 63 692.0 0 63 184 55 692.0 0 55 185 67 692.0 0 67 186 49 692.0 0 49 187 61 692.0 0 61 188 66 692.0 0 66 189 61 692.0 0 61 190 91 692.0 0 91 191 54 692.0 0 54 192 61 692.0 0 61 193 81 692.0 0 81 194 70 692.0 0 70 195 73 692.0 0 73 196 79 692.0 0 79 197 60 692.0 0 60 198 56 692.0 0 56 199 45 692.0 0 45 200 84 692.0 0 84 201 74 692.0 0 74 202 67 692.0 0 67 203 115 692.0 0 115 204 72 692.0 0 72 205 65 692.0 0 65 206 82 692.0 0 82 207 66 692.0 0 66 208 63 692.0 0 63 209 95 692.0 0 95 210 138 692.0 0 138 211 71 692.0 0 71 212 74 692.0 0 74 213 111 692.0 0 111 214 220 692.0 0 220 215 796 692.0 0 796 216 300 692.0 0 300 217 392 692.0 0 392 218 68 692.0 0 68 219 49 692.0 0 49 220 81 692.0 0 81 221 92 692.0 0 92 222 68 692.0 0 68 223 121 692.0 0 121 224 76 692.0 0 76 225 87 692.0 0 87 226 70 692.0 0 70 227 68 692.0 0 68 228 70 692.0 0 70 229 52 692.0 0 52 230 63 692.0 0 63 231 86 692.0 0 86 232 76 692.0 0 76 233 149 692.0 0 149 234 75 692.0 0 75 235 97 692.0 0 97 236 92 692.0 0 92 237 68 692.0 0 68 238 48 692.0 0 48 239 82 692.0 0 82 240 49 692.0 0 49 241 65 692.0 0 65 242 136 692.0 0 136 243 47 692.0 0 47 244 78 692.0 0 78 245 74 692.0 0 74 246 83 692.0 0 83 247 53 692.0 0 53 248 74 692.0 0 74 249 62 692.0 0 62 250 72 692.0 0 72 251 65 692.0 0 65 252 64 692.0 0 64 253 93 692.0 0 93 254 77 692.0 0 77 255 83 692.0 0 83 256 60 692.0 0 60 257 76 692.0 0 76 258 82 692.0 0 82 259 77 692.0 0 77 260 99 692.0 0 99 261 104 692.0 0 104 262 48 692.0 0 48 263 87 692.0 0 87 264 88 692.0 0 88 265 96 692.0 0 96 266 67 692.0 0 67 267 74 692.0 0 74 268 59 692.0 0 59 269 70 692.0 0 70 270 83 692.0 0 83 271 79 692.0 0 79 272 81 692.0 0 81 273 68 692.0 0 68 274 59 692.0 0 59 275 75 692.0 0 75 276 74 692.0 0 74 277 64 692.0 0 64 278 87 692.0 0 87 279 83 692.0 0 83 280 72 692.0 0 72 281 87 692.0 0 87 282 139 692.0 0 139 283 83 692.0 0 83 284 87 692.0 0 87 285 111 692.0 0 111 286 101 692.0 0 101 287 76 692.0 0 76 288 79 692.0 0 79 289 79 692.0 0 79 290 56 692.0 0 56 291 82 692.0 0 82 292 85 692.0 0 85 293 76 692.0 0 76 294 92 692.0 0 92 295 102 692.0 0 102 296 172 692.0 0 172 297 159 692.0 0 159 298 118 692.0 0 118 299 88 692.0 0 88 300 63 692.0 0 63 301 72 692.0 0 72 Finished in 4.05 s (43 us/read; 1.39 M reads/minute). === Summary === Total reads processed: 93,582 Reads with adapters: 13,584 (14.5%) Reads that were too short: 11 (0.0%) Reads written (passing filters): 13,573 (14.5%) Total basepairs processed: 18,969,494 bp Total written (filtered): 3,705,521 bp (19.5%) === Adapter 1 === Sequence: GGACTACNNGGGTATCTAAT; Type: regular 5'; Length: 20; Trimmed: 13584 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 18 4 0.0 3 0 0 4 19 134 0.0 3 0 127 5 1 1 20 13368 0.0 4 13117 244 7 21 43 0.0 4 14 29 22 5 0.0 4 2 0 3 23 12 0.0 4 0 0 0 11 1 24 1 0.0 4 0 0 0 0 1 25 1 0.0 4 0 0 1 26 1 0.0 4 0 0 0 0 1 52 1 0.0 4 0 0 1 81 1 0.0 4 0 0 0 0 1 95 1 0.0 4 0 0 0 0 1 136 1 0.0 4 0 0 1 138 1 0.0 4 0 1 140 1 0.0 4 0 0 0 0 1 146 2 0.0 4 0 0 0 0 2 147 1 0.0 4 0 0 0 1 168 1 0.0 4 0 0 0 0 1 208 1 0.0 4 0 0 0 0 1 236 1 0.0 4 0 0 0 0 1 245 1 0.0 4 0 0 0 0 1 259 1 0.0 4 0 0 0 0 1 282 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 0.48 s (35 us/read; 1.70 M reads/minute). === Summary === Total reads processed: 13,573 Reads with adapters: 1,201 (8.8%) Reads written (passing filters): 13,573 (100.0%) Total basepairs processed: 3,705,521 bp Total written (filtered): 3,691,012 bp (99.6%) === Adapter 1 === Sequence: CTGSTGCVYCCCRTAGG; Type: regular 3'; Length: 17; Trimmed: 1201 times. No. of allowed errors: 0-9 bp: 0; 10-17 bp: 1 Bases preceding removed adapters: A: 0.8% C: 3.7% G: 93.0% T: 2.5% none/other: 0.0% 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 8 212.1 0 8 5 1 13.3 0 1 9 2 0.1 0 0 2 10 71 0.0 1 2 69 11 1108 0.0 1 7 1101 12 3 0.0 1 0 3 13 1 0.0 1 0 1 14 1 0.0 1 0 1 151 1 0.0 1 0 1 270 5 0.0 1 3 2 WARNING: One or more of your adapter sequences may be incomplete. Please see the detailed output above.