This is cutadapt 1.11 with Python 2.7.12 Command line parameters: --discard-untrimmed --minimum-length 100 -g CGACGT -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 168.07 s (32 us/read; 1.90 M reads/minute). === Summary === Total reads processed: 5,333,634 Reads with adapters: 56,618 (1.1%) Reads that were too short: 21,901 (0.4%) Reads written (passing filters): 34,717 (0.7%) Total basepairs processed: 1,605,423,834 bp Total written (filtered): 8,990,515 bp (0.6%) === Adapter 1 === Sequence: CGACGT; Type: regular 5'; Length: 6; Trimmed: 56618 times. No. of allowed errors: 0-6 bp: 0 Overview of removed sequences length count expect max.err error counts 6 603 1302.2 0 603 7 15003 1302.2 0 15003 8 231 1302.2 0 231 9 9575 1302.2 0 9575 10 28 1302.2 0 28 11 14 1302.2 0 14 12 16 1302.2 0 16 13 13 1302.2 0 13 14 16 1302.2 0 16 15 21 1302.2 0 21 16 15 1302.2 0 15 17 10 1302.2 0 10 18 18 1302.2 0 18 19 28 1302.2 0 28 20 17 1302.2 0 17 21 16 1302.2 0 16 22 14 1302.2 0 14 23 11 1302.2 0 11 24 21 1302.2 0 21 25 29 1302.2 0 29 26 20 1302.2 0 20 27 19 1302.2 0 19 28 22 1302.2 0 22 29 17 1302.2 0 17 30 16 1302.2 0 16 31 11 1302.2 0 11 32 15 1302.2 0 15 33 18 1302.2 0 18 34 17 1302.2 0 17 35 19 1302.2 0 19 36 23 1302.2 0 23 37 21 1302.2 0 21 38 27 1302.2 0 27 39 16 1302.2 0 16 40 18 1302.2 0 18 41 19 1302.2 0 19 42 9 1302.2 0 9 43 16 1302.2 0 16 44 30 1302.2 0 30 45 35 1302.2 0 35 46 23 1302.2 0 23 47 14 1302.2 0 14 48 10 1302.2 0 10 49 13 1302.2 0 13 50 13 1302.2 0 13 51 36 1302.2 0 36 52 65 1302.2 0 65 53 21 1302.2 0 21 54 28 1302.2 0 28 55 25 1302.2 0 25 56 20 1302.2 0 20 57 21 1302.2 0 21 58 49 1302.2 0 49 59 10 1302.2 0 10 60 6 1302.2 0 6 61 18 1302.2 0 18 62 16 1302.2 0 16 63 13 1302.2 0 13 64 14 1302.2 0 14 65 22 1302.2 0 22 66 16 1302.2 0 16 67 37 1302.2 0 37 68 276 1302.2 0 276 69 111 1302.2 0 111 70 16 1302.2 0 16 71 12 1302.2 0 12 72 12 1302.2 0 12 73 10 1302.2 0 10 74 17 1302.2 0 17 75 12 1302.2 0 12 76 12 1302.2 0 12 77 8 1302.2 0 8 78 16 1302.2 0 16 79 15 1302.2 0 15 80 12 1302.2 0 12 81 29 1302.2 0 29 82 17 1302.2 0 17 83 22 1302.2 0 22 84 24 1302.2 0 24 85 28 1302.2 0 28 86 33 1302.2 0 33 87 15 1302.2 0 15 88 42 1302.2 0 42 89 27 1302.2 0 27 90 9 1302.2 0 9 91 25 1302.2 0 25 92 190 1302.2 0 190 93 37 1302.2 0 37 94 40 1302.2 0 40 95 22 1302.2 0 22 96 23 1302.2 0 23 97 27 1302.2 0 27 98 178 1302.2 0 178 99 54 1302.2 0 54 100 12 1302.2 0 12 101 13 1302.2 0 13 102 21 1302.2 0 21 103 9 1302.2 0 9 104 29 1302.2 0 29 105 26 1302.2 0 26 106 15 1302.2 0 15 107 15 1302.2 0 15 108 21 1302.2 0 21 109 16 1302.2 0 16 110 14 1302.2 0 14 111 9 1302.2 0 9 112 8 1302.2 0 8 113 21 1302.2 0 21 114 20 1302.2 0 20 115 12 1302.2 0 12 116 11 1302.2 0 11 117 36 1302.2 0 36 118 30 1302.2 0 30 119 77 1302.2 0 77 120 90 1302.2 0 90 121 85 1302.2 0 85 122 39 1302.2 0 39 123 60 1302.2 0 60 124 37 1302.2 0 37 125 27 1302.2 0 27 126 28 1302.2 0 28 127 25 1302.2 0 25 128 30 1302.2 0 30 129 58 1302.2 0 58 130 242 1302.2 0 242 131 37 1302.2 0 37 132 86 1302.2 0 86 133 87 1302.2 0 87 134 205 1302.2 0 205 135 58 1302.2 0 58 136 35 1302.2 0 35 137 39 1302.2 0 39 138 58 1302.2 0 58 139 55 1302.2 0 55 140 21 1302.2 0 21 141 26 1302.2 0 26 142 40 1302.2 0 40 143 52 1302.2 0 52 144 33 1302.2 0 33 145 27 1302.2 0 27 146 31 1302.2 0 31 147 39 1302.2 0 39 148 36 1302.2 0 36 149 27 1302.2 0 27 150 15 1302.2 0 15 151 22 1302.2 0 22 152 46 1302.2 0 46 153 65 1302.2 0 65 154 123 1302.2 0 123 155 83 1302.2 0 83 156 64 1302.2 0 64 157 45 1302.2 0 45 158 76 1302.2 0 76 159 75 1302.2 0 75 160 138 1302.2 0 138 161 58 1302.2 0 58 162 42 1302.2 0 42 163 90 1302.2 0 90 164 102 1302.2 0 102 165 103 1302.2 0 103 166 60 1302.2 0 60 167 96 1302.2 0 96 168 81 1302.2 0 81 169 50 1302.2 0 50 170 46 1302.2 0 46 171 60 1302.2 0 60 172 162 1302.2 0 162 173 47 1302.2 0 47 174 70 1302.2 0 70 175 47 1302.2 0 47 176 36 1302.2 0 36 177 44 1302.2 0 44 178 80 1302.2 0 80 179 110 1302.2 0 110 180 124 1302.2 0 124 181 122 1302.2 0 122 182 108 1302.2 0 108 183 176 1302.2 0 176 184 264 1302.2 0 264 185 172 1302.2 0 172 186 246 1302.2 0 246 187 21 1302.2 0 21 188 33 1302.2 0 33 189 73 1302.2 0 73 190 98 1302.2 0 98 191 63 1302.2 0 63 192 150 1302.2 0 150 193 102 1302.2 0 102 194 44 1302.2 0 44 195 63 1302.2 0 63 196 81 1302.2 0 81 197 56 1302.2 0 56 198 36 1302.2 0 36 199 68 1302.2 0 68 200 213 1302.2 0 213 201 192 1302.2 0 192 202 150 1302.2 0 150 203 53 1302.2 0 53 204 48 1302.2 0 48 205 95 1302.2 0 95 206 99 1302.2 0 99 207 70 1302.2 0 70 208 115 1302.2 0 115 209 113 1302.2 0 113 210 135 1302.2 0 135 211 76 1302.2 0 76 212 85 1302.2 0 85 213 125 1302.2 0 125 214 127 1302.2 0 127 215 186 1302.2 0 186 216 163 1302.2 0 163 217 243 1302.2 0 243 218 516 1302.2 0 516 219 6913 1302.2 0 6913 220 908 1302.2 0 908 221 2544 1302.2 0 2544 222 236 1302.2 0 236 223 76 1302.2 0 76 224 70 1302.2 0 70 225 103 1302.2 0 103 226 136 1302.2 0 136 227 119 1302.2 0 119 228 90 1302.2 0 90 229 76 1302.2 0 76 230 59 1302.2 0 59 231 53 1302.2 0 53 232 68 1302.2 0 68 233 127 1302.2 0 127 234 117 1302.2 0 117 235 65 1302.2 0 65 236 72 1302.2 0 72 237 88 1302.2 0 88 238 62 1302.2 0 62 239 70 1302.2 0 70 240 116 1302.2 0 116 241 62 1302.2 0 62 242 48 1302.2 0 48 243 48 1302.2 0 48 244 54 1302.2 0 54 245 79 1302.2 0 79 246 41 1302.2 0 41 247 33 1302.2 0 33 248 46 1302.2 0 46 249 410 1302.2 0 410 250 1447 1302.2 0 1447 251 620 1302.2 0 620 252 59 1302.2 0 59 253 121 1302.2 0 121 254 256 1302.2 0 256 255 197 1302.2 0 197 256 170 1302.2 0 170 257 141 1302.2 0 141 258 71 1302.2 0 71 259 54 1302.2 0 54 260 63 1302.2 0 63 261 43 1302.2 0 43 262 62 1302.2 0 62 263 105 1302.2 0 105 264 104 1302.2 0 104 265 158 1302.2 0 158 266 74 1302.2 0 74 267 37 1302.2 0 37 268 37 1302.2 0 37 269 46 1302.2 0 46 270 60 1302.2 0 60 271 49 1302.2 0 49 272 64 1302.2 0 64 273 62 1302.2 0 62 274 62 1302.2 0 62 275 45 1302.2 0 45 276 49 1302.2 0 49 277 95 1302.2 0 95 278 120 1302.2 0 120 279 179 1302.2 0 179 280 150 1302.2 0 150 281 210 1302.2 0 210 282 208 1302.2 0 208 283 100 1302.2 0 100 284 161 1302.2 0 161 285 149 1302.2 0 149 286 68 1302.2 0 68 287 38 1302.2 0 38 288 29 1302.2 0 29 289 63 1302.2 0 63 290 99 1302.2 0 99 291 104 1302.2 0 104 292 83 1302.2 0 83 293 40 1302.2 0 40 294 44 1302.2 0 44 295 52 1302.2 0 52 296 27 1302.2 0 27 297 53 1302.2 0 53 298 48 1302.2 0 48 299 57 1302.2 0 57 300 46 1302.2 0 46 301 34 1302.2 0 34 Finished in 1.94 s (56 us/read; 1.07 M reads/minute). === Summary === Total reads processed: 34,717 Reads with adapters: 15,361 (44.2%) Reads that were too short: 2 (0.0%) Reads written (passing filters): 15,359 (44.2%) Total basepairs processed: 8,990,515 bp Total written (filtered): 4,208,803 bp (46.8%) === Adapter 1 === Sequence: GGACTACNNGGGTATCTAAT; Type: regular 5'; Length: 20; Trimmed: 15361 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 6 0.0 3 0 0 0 0 6 18 4 0.0 3 0 0 4 19 214 0.0 3 0 193 6 1 14 20 15077 0.0 4 14836 223 11 6 1 21 38 0.0 4 1 22 0 12 3 22 8 0.0 4 0 0 3 0 5 23 11 0.0 4 0 0 1 9 1 31 1 0.0 4 0 0 0 0 1 101 1 0.0 4 0 0 0 0 1 104 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 0.64 s (42 us/read; 1.44 M reads/minute). === Summary === Total reads processed: 15,359 Reads with adapters: 89 (0.6%) Reads written (passing filters): 15,359 (100.0%) Total basepairs processed: 4,208,803 bp Total written (filtered): 4,204,962 bp (99.9%) === Adapter 1 === Sequence: CTGSTGCVYCCCRTAGG; Type: regular 3'; Length: 17; Trimmed: 89 times. No. of allowed errors: 0-9 bp: 0; 10-17 bp: 1 Bases preceding removed adapters: A: 7.9% C: 13.5% G: 78.7% T: 0.0% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 3 4 240.0 0 4 11 69 0.0 1 1 68 12 2 0.0 1 0 2 14 1 0.0 1 0 1 225 9 0.0 1 9 226 1 0.0 1 1 259 2 0.0 1 2 263 1 0.0 1 1