Mercurial > repos > devteam > samtools_stats
view test-data/samtools_stats_out1.tab @ 1:8cfc17e27132 draft
planemo upload for repository https://github.com/galaxyproject/tools-devteam/tree/master/tool_collections/samtools/samtools_stats commit a1517c9d22029095120643bbe2c8fa53754dd2b7
| author | devteam |
|---|---|
| date | Wed, 11 Nov 2015 12:55:15 -0500 |
| parents | 0d71d9467847 |
| children | 24c5d43cb545 |
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# This file was produced by samtools stats (1.2+htslib-1.2.1) and can be plotted using plot-bamstats # The command line was: stats --coverage 1,1000,1 --GC-depth 20000.0 --insert-size 8000 --most-inserts 0.99 --trim-quality 0 --ref-seq /Users/anton/galaxy-git/database/files/000/dataset_9.dat /Users/anton/galaxy-git/database/files/000/dataset_10.dat # CHK, Checksum [2]Read Names [3]Sequences [4]Qualities # CHK, CRC32 of reads which passed filtering followed by addition (32bit overflow) CHK 1bd20fd8 58ad2167 29883386 # Summary Numbers. Use `grep ^SN | cut -f 2-` to extract this part. SN raw total sequences: 200 SN filtered sequences: 0 SN sequences: 200 SN is sorted: 1 SN 1st fragments: 100 SN last fragments: 100 SN reads mapped: 25 SN reads mapped and paired: 0 # paired-end technology bit set + both mates mapped SN reads unmapped: 175 SN reads properly paired: 0 # proper-pair bit set SN reads paired: 200 # paired-end technology bit set SN reads duplicated: 0 # PCR or optical duplicate bit set SN reads MQ0: 6 # mapped and MQ=0 SN reads QC failed: 0 SN non-primary alignments: 0 SN total length: 50200 # ignores clipping SN bases mapped: 6275 # ignores clipping SN bases mapped (cigar): 6275 # more accurate SN bases trimmed: 0 SN bases duplicated: 0 SN mismatches: 591 # from NM fields SN error rate: 9.418327e-02 # mismatches / bases mapped (cigar) SN average length: 251 SN maximum length: 251 SN average quality: 34.7 SN insert size average: 0.0 SN insert size standard deviation: 0.0 SN inward oriented pairs: 0 SN outward oriented pairs: 0 SN pairs with other orientation: 0 SN pairs on different chromosomes: 0 # First Fragment Qualitites. Use `grep ^FFQ | cut -f 2-` to extract this part. # Columns correspond to qualities and rows to cycles. First column is the cycle number. 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2 5 8 5 7 36 10 11 0 0 FFQ 172 0 0 0 0 0 0 0 0 0 0 0 0 6 5 0 1 0 0 0 0 0 0 0 0 0 0 3 1 0 0 3 0 3 4 5 6 4 32 15 12 0 0 FFQ 173 0 0 0 0 0 0 0 0 0 0 0 0 4 1 1 0 0 0 0 0 0 0 0 0 1 0 4 0 0 0 0 0 6 4 4 5 4 37 18 11 0 0 FFQ 174 0 0 0 0 0 0 0 0 0 0 0 0 4 2 1 1 0 0 0 0 0 0 0 0 1 1 2 1 0 0 0 3 3 4 7 3 5 36 12 14 0 0 FFQ 175 0 0 0 0 0 0 0 0 0 0 0 0 4 2 0 2 0 0 0 0 0 0 0 0 0 2 2 1 0 0 3 3 6 3 10 3 4 30 13 12 0 0 FFQ 176 0 0 0 0 0 0 0 0 0 0 0 0 3 1 1 5 0 0 0 0 0 0 0 0 0 1 4 1 1 3 2 1 2 3 4 3 2 42 7 14 0 0 FFQ 177 0 0 0 0 0 0 0 0 0 0 0 0 3 3 2 4 0 0 0 0 0 0 0 0 1 2 2 0 0 1 2 1 1 5 5 7 3 33 11 14 0 0 FFQ 178 0 0 0 0 0 0 0 0 0 0 0 0 1 3 1 3 0 0 0 0 0 0 0 0 1 3 1 0 0 0 0 0 3 6 9 2 8 39 10 10 0 0 FFQ 179 0 0 0 0 0 0 0 0 0 0 0 0 2 4 2 3 0 0 0 0 0 0 0 0 1 1 2 0 0 0 1 1 1 7 8 2 6 36 10 13 0 0 FFQ 180 0 0 0 0 0 0 0 0 0 0 0 0 1 4 3 3 0 0 0 0 0 0 0 0 3 1 1 0 0 0 3 0 4 3 4 2 8 41 13 6 0 0 FFQ 181 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 2 0 0 0 0 0 0 0 0 1 1 2 0 0 0 2 1 6 10 5 5 4 39 10 8 0 0 FFQ 182 0 0 0 0 0 0 0 0 0 0 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0 0 0 0 0 4 9 4 10 0 0 0 0 0 0 0 0 4 1 6 0 2 0 1 1 3 9 0 2 3 39 2 0 0 0 FFQ 215 0 0 0 0 0 0 0 0 0 0 0 0 5 6 5 6 0 0 0 0 0 0 0 0 5 5 8 0 0 0 1 2 5 12 0 0 4 34 2 0 0 0 FFQ 216 0 0 0 0 0 0 0 0 0 0 0 0 3 3 6 5 0 0 0 0 0 0 0 0 3 6 5 1 3 0 1 0 5 15 1 3 2 37 1 0 0 0 FFQ 217 0 0 0 0 0 0 0 0 0 0 0 0 3 7 6 4 0 0 0 0 0 0 0 0 4 1 2 0 0 1 1 0 10 15 1 3 2 39 1 0 0 0 FFQ 218 0 0 0 0 0 0 0 0 0 0 0 0 2 4 7 2 0 0 0 0 0 0 0 0 6 4 10 0 0 0 1 0 3 13 1 5 3 35 4 0 0 0 FFQ 219 0 0 0 0 0 0 0 0 0 0 0 0 2 5 4 4 0 0 0 0 0 0 0 0 5 1 5 0 0 1 0 0 4 13 1 6 3 45 1 0 0 0 FFQ 220 0 0 0 0 0 0 0 0 0 0 0 0 2 4 9 4 0 0 0 0 0 0 0 0 4 2 2 0 0 0 0 2 5 14 1 1 2 47 1 0 0 0 FFQ 221 0 0 0 0 0 0 0 0 0 0 0 0 3 4 6 4 0 0 0 0 0 0 0 0 1 4 6 0 0 0 0 0 2 10 1 3 3 53 0 0 0 0 FFQ 222 0 0 0 0 0 0 0 0 0 0 0 0 3 5 8 6 0 0 0 0 0 0 0 0 5 2 6 0 0 0 0 0 2 6 1 3 4 49 0 0 0 0 FFQ 223 0 0 0 0 0 0 0 0 0 0 0 0 5 8 6 8 0 0 0 0 0 0 0 0 3 3 5 1 1 0 1 0 0 13 1 0 2 43 0 0 0 0 FFQ 224 0 0 0 0 0 0 0 0 0 0 0 0 2 9 11 6 0 0 0 0 0 0 0 0 4 3 3 0 0 0 0 1 2 15 1 0 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0 0 0 0 FFQ 246 0 0 0 0 0 0 0 0 0 0 0 0 4 6 15 12 0 0 0 0 0 0 0 0 5 2 8 1 0 1 1 0 1 13 0 2 1 28 0 0 0 0 FFQ 247 0 0 0 0 0 0 0 0 0 0 0 0 8 3 16 14 0 0 0 0 0 0 0 0 10 4 6 0 0 0 0 0 2 15 1 2 2 17 0 0 0 0 FFQ 248 0 0 0 0 0 0 0 0 0 0 0 0 5 6 21 8 0 0 0 0 0 0 0 0 7 8 6 2 0 0 0 1 1 14 0 2 2 17 0 0 0 0 FFQ 249 0 0 0 0 0 0 0 0 0 0 0 0 5 6 20 8 0 0 0 0 0 0 0 0 5 7 10 0 1 0 0 0 1 15 0 2 0 20 0 0 0 0 FFQ 250 0 0 0 0 0 0 0 0 0 0 0 0 2 10 15 10 0 0 0 0 0 0 0 0 9 5 8 1 0 0 0 2 6 10 0 0 2 20 0 0 0 0 FFQ 251 0 0 0 0 0 0 0 0 0 0 0 0 7 20 21 17 0 0 0 0 0 0 0 0 7 7 6 0 0 0 0 1 2 4 0 0 0 8 0 0 0 0 FFQ 252 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # Last Fragment Qualitites. Use `grep ^LFQ | cut -f 2-` to extract this part. # Columns correspond to qualities and rows to cycles. First column is the cycle number. LFQ 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 3 2 0 20 38 32 1 0 0 0 0 0 0 LFQ 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 0 0 18 36 36 6 0 0 0 0 0 0 LFQ 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 14 31 46 5 0 0 0 0 0 0 LFQ 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 8 36 42 11 0 0 0 0 0 0 LFQ 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 12 35 43 6 0 0 0 0 0 0 LFQ 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 7 8 0 0 81 0 0 0 0 LFQ 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 13 1 0 76 0 0 0 0 LFQ 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 11 15 4 0 69 0 0 0 0 LFQ 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 6 20 3 0 68 0 0 0 0 LFQ 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 7 11 5 0 75 0 0 0 0 LFQ 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 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0 0 0 0 LFQ 246 0 0 0 0 0 0 0 0 0 0 0 0 4 6 15 12 0 0 0 0 0 0 0 0 5 2 8 1 0 1 1 0 1 13 0 2 1 28 0 0 0 0 LFQ 247 0 0 0 0 0 0 0 0 0 0 0 0 8 3 16 14 0 0 0 0 0 0 0 0 10 4 6 0 0 0 0 0 2 15 1 2 2 17 0 0 0 0 LFQ 248 0 0 0 0 0 0 0 0 0 0 0 0 5 6 21 8 0 0 0 0 0 0 0 0 7 8 6 2 0 0 0 1 1 14 0 2 2 17 0 0 0 0 LFQ 249 0 0 0 0 0 0 0 0 0 0 0 0 5 6 20 8 0 0 0 0 0 0 0 0 5 7 10 0 1 0 0 0 1 15 0 2 0 20 0 0 0 0 LFQ 250 0 0 0 0 0 0 0 0 0 0 0 0 2 10 15 10 0 0 0 0 0 0 0 0 9 5 8 1 0 0 0 2 6 10 0 0 2 20 0 0 0 0 LFQ 251 0 0 0 0 0 0 0 0 0 0 0 0 7 20 21 17 0 0 0 0 0 0 0 0 7 7 6 0 0 0 0 1 2 4 0 0 0 8 0 0 0 0 LFQ 252 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # Mismatches per cycle and quality. Use `grep ^MPC | cut -f 2-` to extract this part. # Columns correspond to qualities, rows to cycles. First column is the cycle number, second # is the number of N's and the rest is the number of mismatches MPC 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 MPC 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 MPC 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 MPC 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 MPC 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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0 0 0 0 MPC 186 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 187 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 188 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 189 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 190 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 191 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 192 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 193 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 194 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 195 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 196 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 197 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 198 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 199 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 200 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 201 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 202 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 203 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 204 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 205 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 206 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 207 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 208 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 209 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 210 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 211 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 212 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 213 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 214 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 215 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 216 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 217 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 218 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 230 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 231 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 232 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 MPC 233 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 MPC 234 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 MPC 235 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 236 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 MPC 237 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 MPC 238 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 239 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 MPC 240 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 241 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 242 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 MPC 243 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 244 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 245 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 246 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MPC 247 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 MPC 248 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 3 2 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 2 0 0 0 3 0 0 0 MPC 249 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 2 0 5 0 0 0 0 0 0 2 0 0 0 0 0 0 0 MPC 250 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 2 0 0 0 2 0 0 0 MPC 251 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 2 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 3 0 0 0 MPC 252 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # GC Content of first fragments. Use `grep ^GCF | cut -f 2-` to extract this part. GCF 21.86 0 GCF 44.22 2 GCF 44.97 8 GCF 45.48 4 GCF 45.98 3 GCF 46.48 5 GCF 46.98 2 GCF 47.49 3 GCF 47.99 12 GCF 48.49 13 GCF 48.99 9 GCF 49.50 2 GCF 50.25 3 GCF 51.01 6 GCF 51.51 4 GCF 52.01 1 GCF 52.51 0 GCF 53.02 1 # GC Content of last fragments. Use `grep ^GCL | cut -f 2-` to extract this part. GCL 21.86 0 GCL 44.22 2 GCL 44.97 8 GCL 45.48 4 GCL 45.98 3 GCL 46.48 5 GCL 46.98 2 GCL 47.49 3 GCL 47.99 12 GCL 48.49 13 GCL 48.99 9 GCL 49.50 2 GCL 50.25 3 GCL 51.01 6 GCL 51.51 4 GCL 52.01 1 GCL 52.51 0 GCL 53.02 1 # ACGT content per cycle. Use `grep ^GCC | cut -f 2-` to extract this part. The columns are: cycle, and A,C,G,T counts [%] GCC 1 21.50 29.50 33.50 15.50 GCC 2 30.00 16.00 11.00 43.00 GCC 3 33.00 25.00 9.00 33.00 GCC 4 17.00 29.00 13.00 41.00 GCC 5 37.00 22.00 12.00 29.00 GCC 6 36.00 26.00 17.00 21.00 GCC 7 29.50 13.50 31.50 25.50 GCC 8 50.50 14.50 19.50 15.50 GCC 9 17.00 33.00 18.00 32.00 GCC 10 37.00 14.00 21.00 28.00 GCC 11 20.50 14.50 29.50 35.50 GCC 12 30.00 24.00 22.00 24.00 GCC 13 27.00 15.00 21.00 37.00 GCC 14 24.00 22.00 26.00 28.00 GCC 15 25.50 20.50 24.50 29.50 GCC 16 31.00 15.00 20.00 34.00 GCC 17 28.00 25.00 14.00 33.00 GCC 18 30.50 28.50 19.50 21.50 GCC 19 29.00 26.00 21.00 24.00 GCC 20 22.50 23.50 17.50 36.50 GCC 21 35.50 17.50 19.50 27.50 GCC 22 37.50 28.50 15.50 18.50 GCC 23 31.00 19.00 13.00 37.00 GCC 24 37.00 12.00 22.00 29.00 GCC 25 35.50 22.50 17.50 24.50 GCC 26 33.50 18.50 15.50 32.50 GCC 27 34.50 14.50 25.50 25.50 GCC 28 31.00 14.00 24.00 31.00 GCC 29 30.00 27.00 24.00 19.00 GCC 30 31.00 20.00 14.00 35.00 GCC 31 33.50 29.50 13.50 23.50 GCC 32 42.50 20.50 19.50 17.50 GCC 33 25.50 23.50 14.50 36.50 GCC 34 39.50 16.50 20.50 23.50 GCC 35 32.50 23.50 21.50 22.50 GCC 36 42.00 25.00 16.00 17.00 GCC 37 38.00 17.00 19.00 26.00 GCC 38 24.00 26.00 25.00 25.00 GCC 39 22.50 41.50 18.50 17.50 GCC 40 32.00 16.00 21.00 31.00 GCC 41 33.00 28.00 19.00 20.00 GCC 42 30.50 25.50 19.50 24.50 GCC 43 35.00 29.00 15.00 21.00 GCC 44 20.00 27.00 22.00 31.00 GCC 45 40.50 21.50 21.50 16.50 GCC 46 26.50 20.50 22.50 30.50 GCC 47 38.50 29.50 16.50 15.50 GCC 48 27.50 24.50 17.50 30.50 GCC 49 28.50 32.50 10.50 28.50 GCC 50 46.50 20.50 9.50 23.50 GCC 51 34.50 28.50 13.50 23.50 GCC 52 41.50 23.50 20.50 14.50 GCC 53 20.00 28.00 26.00 26.00 GCC 54 31.50 18.50 24.50 25.50 GCC 55 30.50 22.50 16.50 30.50 GCC 56 33.50 22.50 13.50 30.50 GCC 57 23.00 24.00 23.00 30.00 GCC 58 25.00 37.00 19.00 19.00 GCC 59 34.00 23.00 24.00 19.00 GCC 60 29.00 28.00 17.00 26.00 GCC 61 25.50 23.50 24.50 26.50 GCC 62 31.50 22.50 16.50 29.50 GCC 63 27.50 28.50 25.50 18.50 GCC 64 33.50 21.50 25.50 19.50 GCC 65 35.50 19.50 18.50 26.50 GCC 66 34.00 25.00 15.00 26.00 GCC 67 37.00 23.00 19.00 21.00 GCC 68 36.50 29.50 13.50 20.50 GCC 69 38.50 19.50 20.50 21.50 GCC 70 38.50 16.50 18.50 26.50 GCC 71 25.50 38.50 21.50 14.50 GCC 72 29.00 29.00 25.00 17.00 GCC 73 32.50 20.50 21.50 25.50 GCC 74 28.50 32.50 12.50 26.50 GCC 75 41.50 12.50 18.50 27.50 GCC 76 24.50 29.50 23.50 22.50 GCC 77 36.00 21.00 18.00 25.00 GCC 78 27.00 34.00 22.00 17.00 GCC 79 21.50 26.50 25.50 26.50 GCC 80 34.00 19.00 28.00 19.00 GCC 81 17.00 26.00 26.00 31.00 GCC 82 31.00 30.00 23.00 16.00 GCC 83 31.50 26.50 12.50 29.50 GCC 84 19.00 41.00 21.00 19.00 GCC 85 37.50 24.50 16.50 21.50 GCC 86 15.00 48.00 15.00 22.00 GCC 87 41.00 16.00 18.00 25.00 GCC 88 23.50 27.50 27.50 21.50 GCC 89 26.50 27.50 26.50 19.50 GCC 90 18.50 23.50 24.50 33.50 GCC 91 27.00 32.00 22.00 19.00 GCC 92 23.50 17.50 27.50 31.50 GCC 93 25.50 37.50 15.50 21.50 GCC 94 27.00 17.00 24.00 32.00 GCC 95 26.50 37.50 14.50 21.50 GCC 96 29.50 25.50 16.50 28.50 GCC 97 29.00 31.00 21.00 19.00 GCC 98 18.00 33.00 22.00 27.00 GCC 99 24.50 33.50 24.50 17.50 GCC 100 24.50 16.50 24.50 34.50 GCC 101 25.00 40.00 19.00 16.00 GCC 102 17.50 17.50 32.50 32.50 GCC 103 31.00 26.00 16.00 27.00 GCC 104 26.50 29.50 20.50 23.50 GCC 105 34.00 33.00 21.00 12.00 GCC 106 23.00 31.00 26.00 20.00 GCC 107 17.50 35.50 23.50 23.50 GCC 108 24.50 30.50 23.50 21.50 GCC 109 17.00 31.00 22.00 30.00 GCC 110 16.00 35.00 24.00 25.00 GCC 111 24.00 32.00 23.00 21.00 GCC 112 37.00 28.00 16.00 19.00 GCC 113 19.50 22.50 32.50 25.50 GCC 114 17.00 31.00 35.00 17.00 GCC 115 29.50 24.50 23.50 22.50 GCC 116 22.00 30.00 34.00 14.00 GCC 117 27.00 23.00 19.00 31.00 GCC 118 25.50 14.50 34.50 25.50 GCC 119 22.50 34.50 20.50 22.50 GCC 120 17.50 24.50 26.50 31.50 GCC 121 27.50 33.50 22.50 16.50 GCC 122 17.00 23.00 25.00 35.00 GCC 123 23.50 46.50 11.50 18.50 GCC 124 9.00 32.00 34.00 25.00 GCC 125 24.00 27.00 19.00 30.00 GCC 126 26.00 17.00 28.00 29.00 GCC 127 26.50 16.50 21.50 35.50 GCC 128 18.00 34.00 31.00 17.00 GCC 129 25.50 25.50 27.50 21.50 GCC 130 25.00 20.00 22.00 33.00 GCC 131 17.50 39.50 24.50 18.50 GCC 132 21.00 28.00 23.00 28.00 GCC 133 13.50 31.50 35.50 19.50 GCC 134 24.50 19.50 30.50 25.50 GCC 135 16.50 23.50 30.50 29.50 GCC 136 28.00 32.00 15.00 25.00 GCC 137 22.50 21.50 30.50 25.50 GCC 138 14.50 34.50 24.50 26.50 GCC 139 20.50 29.50 24.50 25.50 GCC 140 17.00 23.00 30.00 30.00 GCC 141 20.50 23.50 25.50 30.50 GCC 142 18.00 29.00 38.00 15.00 GCC 143 22.00 24.00 27.00 27.00 GCC 144 21.50 30.50 26.50 21.50 GCC 145 22.00 21.00 29.00 28.00 GCC 146 25.00 16.00 39.00 20.00 GCC 147 26.50 22.50 30.50 20.50 GCC 148 12.50 28.50 36.50 22.50 GCC 149 26.50 23.50 23.50 26.50 GCC 150 14.00 29.00 24.00 33.00 GCC 151 19.50 30.50 32.50 17.50 GCC 152 18.50 17.50 29.50 34.50 GCC 153 22.50 22.50 31.50 23.50 GCC 154 22.00 21.00 29.00 28.00 GCC 155 21.00 26.00 19.00 34.00 GCC 156 14.50 23.50 35.50 26.50 GCC 157 22.00 31.00 23.00 24.00 GCC 158 22.50 29.50 24.50 23.50 GCC 159 17.50 12.50 46.50 23.50 GCC 160 24.50 26.50 26.50 22.50 GCC 161 13.00 23.00 45.00 19.00 GCC 162 31.50 16.50 22.50 29.50 GCC 163 19.50 21.50 35.50 23.50 GCC 164 29.00 18.00 21.00 32.00 GCC 165 14.50 17.50 35.50 32.50 GCC 166 17.50 37.50 28.50 16.50 GCC 167 16.50 21.50 31.50 30.50 GCC 168 14.00 25.00 30.00 31.00 GCC 169 18.50 20.50 23.50 37.50 GCC 170 19.00 23.00 28.00 30.00 GCC 171 20.00 28.00 33.00 19.00 GCC 172 19.00 20.00 32.00 29.00 GCC 173 24.50 16.50 33.50 25.50 GCC 174 17.50 23.50 33.50 25.50 GCC 175 33.50 17.50 35.50 13.50 GCC 176 16.50 32.50 28.50 22.50 GCC 177 19.00 22.00 27.00 32.00 GCC 178 16.00 26.00 30.00 28.00 GCC 179 18.00 18.00 22.00 42.00 GCC 180 21.00 22.00 34.00 23.00 GCC 181 20.50 19.50 35.50 24.50 GCC 182 32.50 18.50 22.50 26.50 GCC 183 24.50 13.50 28.50 33.50 GCC 184 15.00 29.00 30.00 26.00 GCC 185 15.00 32.00 33.00 20.00 GCC 186 22.50 23.50 34.50 19.50 GCC 187 19.00 14.00 40.00 27.00 GCC 188 27.50 21.50 27.50 23.50 GCC 189 17.00 22.00 34.00 27.00 GCC 190 23.00 30.00 23.00 24.00 GCC 191 25.00 22.00 28.00 25.00 GCC 192 34.50 24.50 13.50 27.50 GCC 193 18.50 25.50 25.50 30.50 GCC 194 18.50 33.50 24.50 23.50 GCC 195 16.00 26.00 23.00 35.00 GCC 196 21.50 25.50 24.50 28.50 GCC 197 20.00 21.00 23.00 36.00 GCC 198 17.00 21.00 37.00 25.00 GCC 199 20.50 18.50 25.50 35.50 GCC 200 21.00 29.00 21.00 29.00 GCC 201 27.00 21.00 23.00 29.00 GCC 202 21.50 24.50 19.50 34.50 GCC 203 21.50 24.50 26.50 27.50 GCC 204 27.00 29.00 24.00 20.00 GCC 205 19.50 21.50 22.50 36.50 GCC 206 26.50 24.50 21.50 27.50 GCC 207 22.50 21.50 19.50 36.50 GCC 208 14.00 35.00 29.00 22.00 GCC 209 16.00 23.00 12.00 49.00 GCC 210 18.50 19.50 40.50 21.50 GCC 211 26.00 20.00 22.00 32.00 GCC 212 21.00 31.00 18.00 30.00 GCC 213 24.00 15.00 31.00 30.00 GCC 214 17.50 24.50 25.50 32.50 GCC 215 26.00 24.00 23.00 27.00 GCC 216 21.50 17.50 25.50 35.50 GCC 217 26.00 29.00 17.00 28.00 GCC 218 20.00 27.00 21.00 32.00 GCC 219 17.00 21.00 21.00 41.00 GCC 220 25.50 23.50 23.50 27.50 GCC 221 21.50 23.50 20.50 34.50 GCC 222 21.50 21.50 18.50 38.50 GCC 223 20.00 27.00 28.00 25.00 GCC 224 22.50 22.50 24.50 30.50 GCC 225 14.50 35.50 30.50 19.50 GCC 226 20.00 23.00 26.00 31.00 GCC 227 20.50 24.50 23.50 31.50 GCC 228 33.00 19.00 26.00 22.00 GCC 229 22.50 24.50 18.50 34.50 GCC 230 21.00 32.00 16.00 31.00 GCC 231 23.00 28.00 30.00 19.00 GCC 232 23.50 21.50 12.50 42.50 GCC 233 21.00 27.00 25.00 27.00 GCC 234 16.50 27.50 22.50 33.50 GCC 235 20.00 15.00 28.00 37.00 GCC 236 28.00 23.00 21.00 28.00 GCC 237 20.50 19.50 22.50 37.50 GCC 238 21.50 29.50 24.50 24.50 GCC 239 20.00 8.00 17.00 55.00 GCC 240 28.00 24.00 16.00 32.00 GCC 241 22.50 22.50 16.50 38.50 GCC 242 29.00 25.00 13.00 33.00 GCC 243 22.50 15.50 23.50 38.50 GCC 244 20.50 23.50 16.50 39.50 GCC 245 28.00 23.00 19.00 30.00 GCC 246 21.00 29.00 25.00 25.00 GCC 247 32.00 14.00 13.00 41.00 GCC 248 18.00 18.00 25.00 39.00 GCC 249 25.00 23.00 21.00 31.00 GCC 250 27.50 22.50 17.50 32.50 GCC 251 13.50 20.50 36.50 29.50 # Insert sizes. Use `grep ^IS | cut -f 2-` to extract this part. The columns are: insert size, pairs total, inward oriented pairs, outward oriented pairs, other pairs # Read lengths. Use `grep ^RL | cut -f 2-` to extract this part. The columns are: read length, count RL 251 200 # Indel distribution. Use `grep ^ID | cut -f 2-` to extract this part. The columns are: length, number of insertions, number of deletions ID 1 1 0 ID 2 1 0 ID 4 2 0 ID 10 5 0 ID 13 1 0 ID 14 1 0 ID 15 1 0 ID 18 1 0 ID 21 1 0 ID 22 1 0 ID 23 2 0 ID 24 3 0 ID 29 1 0 ID 35 2 0 ID 38 2 0 # Indels per cycle. Use `grep ^IC | cut -f 2-` to extract this part. The columns are: cycle, number of insertions (fwd), .. (rev) , number of deletions (fwd), .. (rev) IC 2 1 0 0 0 IC 4 2 0 0 0 IC 5 3 0 0 0 IC 210 2 0 0 0 IC 219 1 0 0 0 IC 220 1 0 0 0 IC 224 2 0 0 0 IC 225 2 0 0 0 IC 226 1 0 0 0 IC 228 1 0 0 0 IC 230 1 0 0 0 IC 233 1 0 0 0 IC 234 1 0 0 0 IC 235 1 0 0 0 IC 236 1 0 0 0 IC 239 1 0 0 0 IC 240 1 0 0 0 IC 241 1 0 0 0 IC 247 1 0 0 0 # Coverage distribution. Use `grep ^COV | cut -f 2-` to extract this part. COV [1-1] 1 1 COV [7-7] 7 1 COV [18-18] 18 1 COV [24-24] 24 1 COV [25-25] 25 249 # GC-depth. Use `grep ^GCD | cut -f 2-` to extract this part. The columns are: GC%, unique sequence percentiles, 10th, 25th, 50th, 75th and 90th depth percentile GCD 0.0 100.000 0.000 0.000 0.000 0.000 0.000