Mercurial > repos > devteam > samtools_stats
comparison test-data/samtools_stats_out2.tab @ 1:cc56fc603e53 draft
planemo upload commit 33927a87ba2eee9bf0ecdd376a66241b17b3d734
author | devteam |
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date | Tue, 13 Oct 2015 12:56:27 -0400 |
parents | cd6eb75c9819 |
children | 45c568e7f1f9 |
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0:cd6eb75c9819 | 1:cc56fc603e53 |
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1 # This file was produced by samtools stats (1.1+htslib-1.1) and can be plotted using plot-bamstats | 1 # This file was produced by samtools stats (1.2+htslib-1.2.1) and can be plotted using plot-bamstats |
2 # The command line was: stats --coverage 1,1000,1 --GC-depth 2000.0 --insert-size 8000 --most-inserts 0.99 --trim-quality 0 /tmp/tmpFDCqQD/tmprMv9KZ/database/files/000/dataset_893.dat | 2 # 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 |
3 # CHK, Checksum [2]Read Names [3]Sequences [4]Qualities | 3 # CHK, Checksum [2]Read Names [3]Sequences [4]Qualities |
4 # CHK, CRC32 of reads which passed filtering followed by addition (32bit overflow) | 4 # CHK, CRC32 of reads which passed filtering followed by addition (32bit overflow) |
5 CHK 76594422 342222f2 06e86208 | 5 CHK 1bd20fd8 58ad2167 29883386 |
6 # Summary Numbers. Use `grep ^SN | cut -f 2-` to extract this part. | 6 # Summary Numbers. Use `grep ^SN | cut -f 2-` to extract this part. |
7 SN raw total sequences: 1000 | 7 SN raw total sequences: 200 |
8 SN filtered sequences: 0 | 8 SN filtered sequences: 0 |
9 SN sequences: 1000 | 9 SN sequences: 200 |
10 SN is sorted: 1 | 10 SN is sorted: 1 |
11 SN 1st fragments: 500 | 11 SN 1st fragments: 100 |
12 SN last fragments: 500 | 12 SN last fragments: 100 |
13 SN reads mapped: 972 | 13 SN reads mapped: 25 |
14 SN reads mapped and paired: 954 # paired-end technology bit set + both mates mapped | 14 SN reads mapped and paired: 0 # paired-end technology bit set + both mates mapped |
15 SN reads unmapped: 28 | 15 SN reads unmapped: 175 |
16 SN reads properly paired: 0 # proper-pair bit set | 16 SN reads properly paired: 0 # proper-pair bit set |
17 SN reads paired: 1000 # paired-end technology bit set | 17 SN reads paired: 200 # paired-end technology bit set |
18 SN reads duplicated: 0 # PCR or optical duplicate bit set | 18 SN reads duplicated: 0 # PCR or optical duplicate bit set |
19 SN reads MQ0: 0 # mapped and MQ=0 | 19 SN reads MQ0: 6 # mapped and MQ=0 |
20 SN reads QC failed: 0 | 20 SN reads QC failed: 0 |
21 SN non-primary alignments: 0 | 21 SN non-primary alignments: 0 |
22 SN total length: 70000 # ignores clipping | 22 SN total length: 50200 # ignores clipping |
23 SN bases mapped: 68040 # ignores clipping | 23 SN bases mapped: 6275 # ignores clipping |
24 SN bases mapped (cigar): 68040 # more accurate | 24 SN bases mapped (cigar): 6275 # more accurate |
25 SN bases trimmed: 0 | 25 SN bases trimmed: 0 |
26 SN bases duplicated: 0 | 26 SN bases duplicated: 0 |
27 SN mismatches: 1237 # from NM fields | 27 SN mismatches: 591 # from NM fields |
28 SN error rate: 1.818048e-02 # mismatches / bases mapped (cigar) | 28 SN error rate: 9.418327e-02 # mismatches / bases mapped (cigar) |
29 SN average length: 70 | 29 SN average length: 251 |
30 SN maximum length: 70 | 30 SN maximum length: 251 |
31 SN average quality: 17.0 | 31 SN average quality: 34.7 |
32 SN insert size average: 495.1 | 32 SN insert size average: 0.0 |
33 SN insert size standard deviation: 48.9 | 33 SN insert size standard deviation: 0.0 |
34 SN inward oriented pairs: 477 | 34 SN inward oriented pairs: 0 |
35 SN outward oriented pairs: 0 | 35 SN outward oriented pairs: 0 |
36 SN pairs with other orientation: 0 | 36 SN pairs with other orientation: 0 |
37 SN pairs on different chromosomes: 0 | 37 SN pairs on different chromosomes: 0 |
38 # First Fragment Qualitites. Use `grep ^FFQ | cut -f 2-` to extract this part. | 38 # First Fragment Qualitites. Use `grep ^FFQ | cut -f 2-` to extract this part. |
39 # Columns correspond to qualities and rows to cycles. First column is the cycle number. | 39 # Columns correspond to qualities and rows to cycles. First column is the cycle number. |
40 FFQ 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 40 FFQ 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 |
41 FFQ 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 41 FFQ 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 |
42 FFQ 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 42 FFQ 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 |
43 FFQ 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 43 FFQ 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 |
44 FFQ 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 44 FFQ 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 |
45 FFQ 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 45 FFQ 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 |
46 FFQ 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 46 FFQ 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 |
47 FFQ 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 47 FFQ 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 |
48 FFQ 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 48 FFQ 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 |
49 FFQ 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 49 FFQ 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 |
50 FFQ 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 50 FFQ 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 16 6 0 70 0 0 0 0 |
51 FFQ 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 51 FFQ 12 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 0 2 8 2 0 86 0 0 0 0 |
52 FFQ 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 52 FFQ 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 92 0 0 0 |
53 FFQ 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 53 FFQ 14 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 0 2 2 2 1 0 3 89 0 0 0 |
54 FFQ 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 54 FFQ 15 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 0 0 1 2 4 91 0 0 0 |
55 FFQ 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 55 FFQ 16 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 0 0 0 0 2 96 0 0 0 |
56 FFQ 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 56 FFQ 17 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 1 1 0 0 3 94 0 0 0 |
57 FFQ 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 57 FFQ 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 2 93 0 0 0 |
58 FFQ 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 58 FFQ 19 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 1 0 1 4 93 0 0 0 |
59 FFQ 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 59 FFQ 20 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 1 0 0 2 1 4 91 0 0 0 |
60 FFQ 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 60 FFQ 21 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 2 0 0 3 94 0 0 0 |
61 FFQ 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 61 FFQ 22 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 1 0 1 97 0 0 0 |
62 FFQ 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 62 FFQ 23 0 0 1 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 1 0 1 4 18 74 0 0 |
63 FFQ 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 63 FFQ 24 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 1 0 1 1 1 19 76 0 0 |
64 FFQ 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 64 FFQ 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 4 15 76 0 0 |
65 FFQ 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 65 FFQ 26 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 1 0 0 1 2 2 18 75 0 0 |
66 FFQ 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 66 FFQ 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 12 84 0 0 |
67 FFQ 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 67 FFQ 28 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 1 0 0 1 2 5 16 74 0 0 |
68 FFQ 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 68 FFQ 29 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 1 0 0 6 19 73 0 0 |
69 FFQ 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 69 FFQ 30 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 2 1 0 12 17 67 0 0 |
70 FFQ 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 70 FFQ 31 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 0 1 1 1 0 1 2 15 77 0 0 |
71 FFQ 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 71 FFQ 32 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 2 7 22 68 0 0 |
72 FFQ 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 72 FFQ 33 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 1 0 1 2 0 0 1 3 18 73 0 0 |
73 FFQ 34 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 73 FFQ 34 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 0 0 0 0 7 19 72 0 0 |
74 FFQ 35 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 74 FFQ 35 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 0 2 0 0 2 23 71 0 0 |
75 FFQ 36 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 75 FFQ 36 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 1 0 1 2 26 69 0 0 |
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77 FFQ 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 77 FFQ 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 31 63 0 0 |
78 FFQ 39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 78 FFQ 39 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 1 4 5 33 56 0 0 |
79 FFQ 40 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 79 FFQ 40 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 3 1 1 7 25 60 0 0 |
80 FFQ 41 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 80 FFQ 41 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 1 7 19 67 0 0 |
81 FFQ 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 81 FFQ 42 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 2 0 0 0 1 7 21 68 0 0 |
82 FFQ 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 82 FFQ 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 1 4 5 28 56 0 0 |
83 FFQ 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 83 FFQ 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 1 2 13 29 49 0 0 |
84 FFQ 45 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 84 FFQ 45 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 1 1 1 1 0 0 0 7 31 57 0 0 |
85 FFQ 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 85 FFQ 46 0 0 0 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 0 0 0 1 0 0 4 2 8 34 49 0 0 |
86 FFQ 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 86 FFQ 47 0 0 0 0 0 0 0 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 3 1 1 0 8 22 63 0 0 |
87 FFQ 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 87 FFQ 48 0 0 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 0 0 0 0 1 0 0 1 1 7 24 64 0 0 |
88 FFQ 49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 88 FFQ 49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 9 28 58 0 0 |
89 FFQ 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 89 FFQ 50 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 1 2 0 1 1 6 12 76 0 0 |
90 FFQ 51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 90 FFQ 51 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 1 0 0 1 4 2 28 63 0 0 |
91 FFQ 52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 91 FFQ 52 0 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 0 0 0 0 0 0 0 0 0 3 6 27 62 0 0 |
92 FFQ 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 92 FFQ 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 2 8 27 58 0 0 |
93 FFQ 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 93 FFQ 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 21 73 0 0 |
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95 FFQ 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 95 FFQ 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 6 9 18 63 0 0 |
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102 FFQ 63 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 102 FFQ 63 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 1 0 0 0 1 0 0 4 9 31 51 2 0 |
103 FFQ 64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 103 FFQ 64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 4 8 29 53 0 0 |
104 FFQ 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 104 FFQ 65 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 2 1 0 1 7 5 26 57 0 0 |
105 FFQ 66 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 105 FFQ 66 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 2 1 2 2 3 20 64 2 0 |
106 FFQ 67 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 106 FFQ 67 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 2 1 2 0 3 10 25 56 0 0 |
107 FFQ 68 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 107 FFQ 68 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 1 1 2 5 6 19 61 0 0 |
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268 FFQ 229 0 0 0 0 0 0 0 0 0 0 0 0 4 11 6 6 0 0 0 0 0 0 0 0 1 3 5 0 0 0 0 2 6 13 0 3 5 35 0 0 0 0 | |
269 FFQ 230 0 0 0 0 0 0 0 0 0 0 0 0 4 11 10 7 0 0 0 0 0 0 0 0 2 3 4 0 0 0 1 2 9 10 0 1 1 35 0 0 0 0 | |
270 FFQ 231 0 0 0 0 0 0 0 0 0 0 0 0 6 7 6 6 0 0 0 0 0 0 0 0 4 5 4 0 1 0 1 0 4 13 1 5 5 32 0 0 0 0 | |
271 FFQ 232 0 0 0 0 0 0 0 0 0 0 0 0 3 7 10 4 0 0 0 0 0 0 0 0 6 4 7 0 0 0 0 0 3 12 0 1 3 40 0 0 0 0 | |
272 FFQ 233 0 0 0 0 0 0 0 0 0 0 0 0 7 7 9 8 0 0 0 0 0 0 0 0 5 5 3 1 1 0 0 0 6 10 1 1 4 32 0 0 0 0 | |
273 FFQ 234 0 0 0 0 0 0 0 0 0 0 0 0 9 6 10 5 0 0 0 0 0 0 0 0 5 5 3 1 0 0 0 1 5 11 0 1 4 34 0 0 0 0 | |
274 FFQ 235 0 0 0 0 0 0 0 0 0 0 0 0 4 10 13 7 0 0 0 0 0 0 0 0 5 1 4 0 0 0 2 1 5 7 0 0 4 37 0 0 0 0 | |
275 FFQ 236 0 0 0 0 0 0 0 0 0 0 0 0 7 8 15 6 0 0 0 0 0 0 0 0 7 3 5 1 0 0 0 1 6 8 0 1 1 31 0 0 0 0 | |
276 FFQ 237 0 0 0 0 0 0 0 0 0 0 0 0 2 9 13 6 0 0 0 0 0 0 0 0 6 4 7 1 0 0 0 1 3 12 0 1 1 34 0 0 0 0 | |
277 FFQ 238 0 0 0 0 0 0 0 0 0 0 0 0 2 10 16 6 0 0 0 0 0 0 0 0 9 2 3 0 0 0 0 0 5 9 0 2 3 33 0 0 0 0 | |
278 FFQ 239 0 0 0 0 0 0 0 0 0 0 0 0 4 5 17 9 0 0 0 0 0 0 0 0 7 3 1 0 0 0 1 1 2 15 0 1 3 31 0 0 0 0 | |
279 FFQ 240 0 0 0 0 0 0 0 0 0 0 0 0 0 10 19 6 0 0 0 0 0 0 0 0 6 4 4 0 0 1 3 0 2 13 0 1 1 30 0 0 0 0 | |
280 FFQ 241 0 0 0 0 0 0 0 0 0 0 0 0 1 4 23 9 0 0 0 0 0 0 0 0 7 5 8 1 0 0 2 1 1 8 0 1 3 26 0 0 0 0 | |
281 FFQ 242 0 0 0 0 0 0 0 0 0 0 0 0 3 10 19 10 0 0 0 0 0 0 0 0 2 5 4 1 0 0 0 1 2 10 0 0 2 31 0 0 0 0 | |
282 FFQ 243 0 0 0 0 0 0 0 0 0 0 0 0 2 2 17 14 0 0 0 0 0 0 0 0 6 5 5 0 0 0 0 0 6 13 0 2 3 25 0 0 0 0 | |
283 FFQ 244 0 0 0 0 0 0 0 0 0 0 0 0 1 3 18 11 0 0 0 0 0 0 0 0 6 5 5 1 0 0 1 0 2 12 0 5 1 29 0 0 0 0 | |
284 FFQ 245 0 0 0 0 0 0 0 0 0 0 0 0 1 8 14 11 0 0 0 0 0 0 0 0 8 5 3 1 0 0 1 0 1 15 1 1 3 27 0 0 0 0 | |
285 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 | |
286 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 | |
287 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 | |
288 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 | |
289 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 | |
290 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 | |
291 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 | |
111 # Last Fragment Qualitites. Use `grep ^LFQ | cut -f 2-` to extract this part. | 292 # Last Fragment Qualitites. Use `grep ^LFQ | cut -f 2-` to extract this part. |
112 # Columns correspond to qualities and rows to cycles. First column is the cycle number. | 293 # Columns correspond to qualities and rows to cycles. First column is the cycle number. |
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114 LFQ 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 295 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 |
115 LFQ 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 296 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 |
116 LFQ 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 297 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 |
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119 LFQ 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 300 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 |
120 LFQ 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 301 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 |
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122 LFQ 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 303 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 |
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126 LFQ 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 307 LFQ 14 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 0 2 2 2 1 0 3 89 0 0 0 |
127 LFQ 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 308 LFQ 15 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 0 0 1 2 4 91 0 0 0 |
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135 LFQ 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 316 LFQ 23 0 0 1 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 1 0 1 4 18 74 0 0 |
136 LFQ 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 317 LFQ 24 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 1 0 1 1 1 19 76 0 0 |
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139 LFQ 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 320 LFQ 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 12 84 0 0 |
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141 LFQ 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 322 LFQ 29 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 1 0 0 6 19 73 0 0 |
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143 LFQ 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 324 LFQ 31 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 0 1 1 1 0 1 2 15 77 0 0 |
144 LFQ 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 325 LFQ 32 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 2 7 22 68 0 0 |
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155 LFQ 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | 336 LFQ 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 1 4 5 28 56 0 0 |
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522 LFQ 229 0 0 0 0 0 0 0 0 0 0 0 0 4 11 6 6 0 0 0 0 0 0 0 0 1 3 5 0 0 0 0 2 6 13 0 3 5 35 0 0 0 0 | |
523 LFQ 230 0 0 0 0 0 0 0 0 0 0 0 0 4 11 10 7 0 0 0 0 0 0 0 0 2 3 4 0 0 0 1 2 9 10 0 1 1 35 0 0 0 0 | |
524 LFQ 231 0 0 0 0 0 0 0 0 0 0 0 0 6 7 6 6 0 0 0 0 0 0 0 0 4 5 4 0 1 0 1 0 4 13 1 5 5 32 0 0 0 0 | |
525 LFQ 232 0 0 0 0 0 0 0 0 0 0 0 0 3 7 10 4 0 0 0 0 0 0 0 0 6 4 7 0 0 0 0 0 3 12 0 1 3 40 0 0 0 0 | |
526 LFQ 233 0 0 0 0 0 0 0 0 0 0 0 0 7 7 9 8 0 0 0 0 0 0 0 0 5 5 3 1 1 0 0 0 6 10 1 1 4 32 0 0 0 0 | |
527 LFQ 234 0 0 0 0 0 0 0 0 0 0 0 0 9 6 10 5 0 0 0 0 0 0 0 0 5 5 3 1 0 0 0 1 5 11 0 1 4 34 0 0 0 0 | |
528 LFQ 235 0 0 0 0 0 0 0 0 0 0 0 0 4 10 13 7 0 0 0 0 0 0 0 0 5 1 4 0 0 0 2 1 5 7 0 0 4 37 0 0 0 0 | |
529 LFQ 236 0 0 0 0 0 0 0 0 0 0 0 0 7 8 15 6 0 0 0 0 0 0 0 0 7 3 5 1 0 0 0 1 6 8 0 1 1 31 0 0 0 0 | |
530 LFQ 237 0 0 0 0 0 0 0 0 0 0 0 0 2 9 13 6 0 0 0 0 0 0 0 0 6 4 7 1 0 0 0 1 3 12 0 1 1 34 0 0 0 0 | |
531 LFQ 238 0 0 0 0 0 0 0 0 0 0 0 0 2 10 16 6 0 0 0 0 0 0 0 0 9 2 3 0 0 0 0 0 5 9 0 2 3 33 0 0 0 0 | |
532 LFQ 239 0 0 0 0 0 0 0 0 0 0 0 0 4 5 17 9 0 0 0 0 0 0 0 0 7 3 1 0 0 0 1 1 2 15 0 1 3 31 0 0 0 0 | |
533 LFQ 240 0 0 0 0 0 0 0 0 0 0 0 0 0 10 19 6 0 0 0 0 0 0 0 0 6 4 4 0 0 1 3 0 2 13 0 1 1 30 0 0 0 0 | |
534 LFQ 241 0 0 0 0 0 0 0 0 0 0 0 0 1 4 23 9 0 0 0 0 0 0 0 0 7 5 8 1 0 0 2 1 1 8 0 1 3 26 0 0 0 0 | |
535 LFQ 242 0 0 0 0 0 0 0 0 0 0 0 0 3 10 19 10 0 0 0 0 0 0 0 0 2 5 4 1 0 0 0 1 2 10 0 0 2 31 0 0 0 0 | |
536 LFQ 243 0 0 0 0 0 0 0 0 0 0 0 0 2 2 17 14 0 0 0 0 0 0 0 0 6 5 5 0 0 0 0 0 6 13 0 2 3 25 0 0 0 0 | |
537 LFQ 244 0 0 0 0 0 0 0 0 0 0 0 0 1 3 18 11 0 0 0 0 0 0 0 0 6 5 5 1 0 0 1 0 2 12 0 5 1 29 0 0 0 0 | |
538 LFQ 245 0 0 0 0 0 0 0 0 0 0 0 0 1 8 14 11 0 0 0 0 0 0 0 0 8 5 3 1 0 0 1 0 1 15 1 1 3 27 0 0 0 0 | |
539 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 | |
540 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 | |
541 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 | |
542 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 | |
543 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 | |
544 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 | |
545 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 | |
546 # Mismatches per cycle and quality. Use `grep ^MPC | cut -f 2-` to extract this part. | |
547 # Columns correspond to qualities, rows to cycles. First column is the cycle number, second | |
548 # is the number of N's and the rest is the number of mismatches | |
549 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 | |
550 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 | |
551 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 | |
552 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 | |
553 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 | |
554 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 | |
555 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 | |
556 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 | |
557 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 | |
558 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 0 0 0 | |
559 MPC 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
560 MPC 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
561 MPC 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
562 MPC 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
563 MPC 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
564 MPC 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
565 MPC 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
566 MPC 18 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 0 0 0 0 0 0 | |
567 MPC 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
568 MPC 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
569 MPC 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
570 MPC 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
571 MPC 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
572 MPC 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
573 MPC 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
574 MPC 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
575 MPC 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
576 MPC 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
577 MPC 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
578 MPC 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
579 MPC 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
580 MPC 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
581 MPC 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
582 MPC 34 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
583 MPC 35 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
584 MPC 36 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
585 MPC 37 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
586 MPC 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
587 MPC 39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
588 MPC 40 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
589 MPC 41 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 0 0 0 0 0 0 | |
590 MPC 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
591 MPC 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
592 MPC 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
593 MPC 45 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
594 MPC 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
595 MPC 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
596 MPC 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
597 MPC 49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
598 MPC 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
599 MPC 51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
600 MPC 52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
601 MPC 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
602 MPC 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
603 MPC 55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
604 MPC 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
605 MPC 57 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
606 MPC 58 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
607 MPC 59 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
608 MPC 60 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
609 MPC 61 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
610 MPC 62 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
611 MPC 63 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
612 MPC 64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
613 MPC 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
614 MPC 66 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
615 MPC 67 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
616 MPC 68 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
617 MPC 69 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 0 0 0 0 0 0 0 0 | |
618 MPC 70 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
619 MPC 71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
620 MPC 72 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
621 MPC 73 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 | |
622 MPC 74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
623 MPC 75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
624 MPC 76 0 0 0 0 0 0 0 0 0 0 0 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 | |
625 MPC 77 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
626 MPC 78 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
627 MPC 79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
628 MPC 80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
629 MPC 81 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
630 MPC 82 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
631 MPC 83 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 | |
632 MPC 84 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 | |
633 MPC 85 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
634 MPC 86 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
635 MPC 87 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
636 MPC 88 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
637 MPC 89 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
638 MPC 90 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
639 MPC 91 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
640 MPC 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 | |
641 MPC 93 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
642 MPC 94 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
643 MPC 95 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
644 MPC 96 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 | |
645 MPC 97 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
646 MPC 98 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
647 MPC 99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
648 MPC 100 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
649 MPC 101 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
650 MPC 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
651 MPC 103 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
652 MPC 104 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
653 MPC 105 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
654 MPC 106 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
655 MPC 107 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
656 MPC 108 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 | |
657 MPC 109 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
658 MPC 110 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
659 MPC 111 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
660 MPC 112 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
661 MPC 113 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
662 MPC 114 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
663 MPC 115 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
664 MPC 116 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
665 MPC 117 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
666 MPC 118 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
667 MPC 119 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
668 MPC 120 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
669 MPC 121 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
670 MPC 122 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
671 MPC 123 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
672 MPC 124 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
673 MPC 125 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
674 MPC 126 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
675 MPC 127 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
676 MPC 128 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
677 MPC 129 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
678 MPC 130 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
679 MPC 131 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
680 MPC 132 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
681 MPC 133 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
682 MPC 134 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
683 MPC 135 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
684 MPC 136 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
685 MPC 137 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
686 MPC 138 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
687 MPC 139 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
688 MPC 140 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
689 MPC 141 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 1 0 | |
690 MPC 142 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
691 MPC 143 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
692 MPC 144 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
693 MPC 145 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
694 MPC 146 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
695 MPC 147 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
696 MPC 148 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
697 MPC 149 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
698 MPC 150 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 | |
699 MPC 151 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
700 MPC 152 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
701 MPC 153 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
702 MPC 154 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
703 MPC 155 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
704 MPC 156 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 3 0 | |
705 MPC 157 0 0 0 0 0 0 0 0 0 0 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 | |
706 MPC 158 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
707 MPC 159 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 | |
708 MPC 160 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
709 MPC 161 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 | |
710 MPC 162 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
711 MPC 163 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
712 MPC 164 0 0 0 0 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 | |
713 MPC 165 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
714 MPC 166 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 | |
715 MPC 167 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
716 MPC 168 0 0 0 0 0 0 0 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 | |
717 MPC 169 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 0 0 0 1 0 0 1 0 0 0 | |
718 MPC 170 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
719 MPC 171 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 | |
720 MPC 172 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
721 MPC 173 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
722 MPC 174 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
723 MPC 175 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
724 MPC 176 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
725 MPC 177 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
726 MPC 178 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 | |
727 MPC 179 0 0 0 0 0 0 0 0 0 0 0 0 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 | |
728 MPC 180 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
729 MPC 181 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
730 MPC 182 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
731 MPC 183 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
732 MPC 184 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
733 MPC 185 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
734 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 | |
735 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 | |
736 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 | |
737 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 | |
738 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 | |
739 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 | |
740 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 | |
741 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 | |
742 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 | |
743 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 | |
744 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 | |
745 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 | |
746 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 | |
747 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 | |
748 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 | |
749 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 | |
750 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 | |
751 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 | |
752 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 | |
753 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 | |
754 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 | |
755 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 | |
756 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 | |
757 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 | |
758 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 | |
759 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 | |
760 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 | |
761 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 | |
762 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 | |
763 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 | |
764 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 | |
765 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 | |
766 MPC 218 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
767 MPC 219 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
768 MPC 220 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
769 MPC 221 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
770 MPC 222 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
771 MPC 223 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
772 MPC 224 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
773 MPC 225 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
774 MPC 226 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 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 | |
775 MPC 227 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 | |
776 MPC 228 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
777 MPC 229 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | |
778 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 | |
779 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 | |
780 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 | |
781 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 | |
782 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 | |
783 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 | |
784 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 | |
785 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 | |
786 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 | |
787 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 | |
788 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 | |
789 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 | |
790 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 | |
791 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 | |
792 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 | |
793 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 | |
794 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 | |
795 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 | |
796 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 | |
797 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 | |
798 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 | |
799 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 | |
800 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 | |
184 # GC Content of first fragments. Use `grep ^GCF | cut -f 2-` to extract this part. | 801 # GC Content of first fragments. Use `grep ^GCF | cut -f 2-` to extract this part. |
185 GCF 14.82 0 | 802 GCF 21.86 0 |
186 GCF 31.16 2 | 803 GCF 44.22 2 |
187 GCF 33.42 6 | 804 GCF 44.97 8 |
188 GCF 34.92 4 | 805 GCF 45.48 4 |
189 GCF 36.18 6 | 806 GCF 45.98 3 |
190 GCF 37.44 12 | 807 GCF 46.48 5 |
191 GCF 38.94 28 | 808 GCF 46.98 2 |
192 GCF 40.45 34 | 809 GCF 47.49 3 |
193 GCF 41.96 37 | 810 GCF 47.99 12 |
194 GCF 43.47 46 | 811 GCF 48.49 13 |
195 GCF 44.72 55 | 812 GCF 48.99 9 |
196 GCF 45.98 57 | 813 GCF 49.50 2 |
197 GCF 47.49 68 | 814 GCF 50.25 3 |
198 GCF 48.99 60 | 815 GCF 51.01 6 |
199 GCF 50.50 27 | 816 GCF 51.51 4 |
200 GCF 52.01 18 | 817 GCF 52.01 1 |
201 GCF 53.52 15 | 818 GCF 52.51 0 |
202 GCF 54.77 9 | 819 GCF 53.02 1 |
203 GCF 56.03 4 | |
204 GCF 57.54 3 | |
205 GCF 59.05 2 | |
206 GCF 60.55 4 | |
207 GCF 62.06 0 | |
208 GCF 63.32 1 | |
209 # GC Content of last fragments. Use `grep ^GCL | cut -f 2-` to extract this part. | 820 # GC Content of last fragments. Use `grep ^GCL | cut -f 2-` to extract this part. |
210 GCL 14.07 0 | 821 GCL 21.86 0 |
211 GCL 28.89 1 | 822 GCL 44.22 2 |
212 GCL 30.40 3 | 823 GCL 44.97 8 |
213 GCL 31.91 1 | 824 GCL 45.48 4 |
214 GCL 33.42 2 | 825 GCL 45.98 3 |
215 GCL 34.92 4 | 826 GCL 46.48 5 |
216 GCL 36.18 8 | 827 GCL 46.98 2 |
217 GCL 37.44 16 | 828 GCL 47.49 3 |
218 GCL 38.94 31 | 829 GCL 47.99 12 |
219 GCL 40.45 40 | 830 GCL 48.49 13 |
220 GCL 41.96 39 | 831 GCL 48.99 9 |
221 GCL 43.47 55 | 832 GCL 49.50 2 |
222 GCL 44.72 46 | 833 GCL 50.25 3 |
223 GCL 45.98 61 | 834 GCL 51.01 6 |
224 GCL 47.49 53 | 835 GCL 51.51 4 |
225 GCL 48.99 50 | 836 GCL 52.01 1 |
226 GCL 50.50 32 | 837 GCL 52.51 0 |
227 GCL 52.01 23 | 838 GCL 53.02 1 |
228 GCL 53.52 11 | |
229 GCL 54.77 9 | |
230 GCL 56.03 8 | |
231 GCL 57.54 3 | |
232 GCL 61.06 1 | |
233 # ACGT content per cycle. Use `grep ^GCC | cut -f 2-` to extract this part. The columns are: cycle, and A,C,G,T counts [%] | 839 # ACGT content per cycle. Use `grep ^GCC | cut -f 2-` to extract this part. The columns are: cycle, and A,C,G,T counts [%] |
234 GCC 1 21.50 23.30 24.50 30.70 | 840 GCC 1 21.50 29.50 33.50 15.50 |
235 GCC 2 21.10 22.20 22.50 34.20 | 841 GCC 2 30.00 16.00 11.00 43.00 |
236 GCC 3 22.20 20.50 26.80 30.50 | 842 GCC 3 33.00 25.00 9.00 33.00 |
237 GCC 4 24.40 21.50 21.50 32.60 | 843 GCC 4 17.00 29.00 13.00 41.00 |
238 GCC 5 23.50 21.10 25.60 29.80 | 844 GCC 5 37.00 22.00 12.00 29.00 |
239 GCC 6 26.30 21.80 20.40 31.50 | 845 GCC 6 36.00 26.00 17.00 21.00 |
240 GCC 7 25.40 20.50 22.00 32.10 | 846 GCC 7 29.50 13.50 31.50 25.50 |
241 GCC 8 23.90 19.20 27.00 29.90 | 847 GCC 8 50.50 14.50 19.50 15.50 |
242 GCC 9 23.70 22.70 22.00 31.60 | 848 GCC 9 17.00 33.00 18.00 32.00 |
243 GCC 10 22.50 22.00 24.10 31.40 | 849 GCC 10 37.00 14.00 21.00 28.00 |
244 GCC 11 22.40 21.50 22.10 34.00 | 850 GCC 11 20.50 14.50 29.50 35.50 |
245 GCC 12 25.20 18.00 24.50 32.30 | 851 GCC 12 30.00 24.00 22.00 24.00 |
246 GCC 13 23.70 20.80 21.70 33.80 | 852 GCC 13 27.00 15.00 21.00 37.00 |
247 GCC 14 24.60 23.00 22.40 30.00 | 853 GCC 14 24.00 22.00 26.00 28.00 |
248 GCC 15 25.50 22.30 22.50 29.70 | 854 GCC 15 25.50 20.50 24.50 29.50 |
249 GCC 16 24.10 21.40 23.60 30.90 | 855 GCC 16 31.00 15.00 20.00 34.00 |
250 GCC 17 24.30 21.00 23.90 30.80 | 856 GCC 17 28.00 25.00 14.00 33.00 |
251 GCC 18 24.40 22.10 22.70 30.80 | 857 GCC 18 30.50 28.50 19.50 21.50 |
252 GCC 19 25.60 20.50 24.70 29.20 | 858 GCC 19 29.00 26.00 21.00 24.00 |
253 GCC 20 25.80 19.60 22.00 32.60 | 859 GCC 20 22.50 23.50 17.50 36.50 |
254 GCC 21 23.20 22.90 23.00 30.90 | 860 GCC 21 35.50 17.50 19.50 27.50 |
255 GCC 22 23.90 22.70 22.60 30.80 | 861 GCC 22 37.50 28.50 15.50 18.50 |
256 GCC 23 25.80 21.30 22.40 30.50 | 862 GCC 23 31.00 19.00 13.00 37.00 |
257 GCC 24 23.50 22.00 22.70 31.80 | 863 GCC 24 37.00 12.00 22.00 29.00 |
258 GCC 25 22.40 21.80 23.10 32.70 | 864 GCC 25 35.50 22.50 17.50 24.50 |
259 GCC 26 22.90 19.90 24.30 32.90 | 865 GCC 26 33.50 18.50 15.50 32.50 |
260 GCC 27 23.10 22.10 24.20 30.60 | 866 GCC 27 34.50 14.50 25.50 25.50 |
261 GCC 28 23.50 22.10 22.90 31.50 | 867 GCC 28 31.00 14.00 24.00 31.00 |
262 GCC 29 24.40 21.80 21.30 32.50 | 868 GCC 29 30.00 27.00 24.00 19.00 |
263 GCC 30 21.90 22.50 22.60 33.00 | 869 GCC 30 31.00 20.00 14.00 35.00 |
264 GCC 31 23.10 20.90 24.20 31.80 | 870 GCC 31 33.50 29.50 13.50 23.50 |
265 GCC 32 24.60 22.10 23.60 29.70 | 871 GCC 32 42.50 20.50 19.50 17.50 |
266 GCC 33 22.80 21.10 22.00 34.10 | 872 GCC 33 25.50 23.50 14.50 36.50 |
267 GCC 34 21.70 22.10 23.60 32.60 | 873 GCC 34 39.50 16.50 20.50 23.50 |
268 GCC 35 24.30 23.20 20.60 31.90 | 874 GCC 35 32.50 23.50 21.50 22.50 |
269 GCC 36 21.60 22.70 24.50 31.20 | 875 GCC 36 42.00 25.00 16.00 17.00 |
270 GCC 37 22.20 23.50 22.20 32.10 | 876 GCC 37 38.00 17.00 19.00 26.00 |
271 GCC 38 24.10 20.80 22.00 33.10 | 877 GCC 38 24.00 26.00 25.00 25.00 |
272 GCC 39 22.20 21.10 26.80 29.90 | 878 GCC 39 22.50 41.50 18.50 17.50 |
273 GCC 40 21.80 24.00 22.90 31.30 | 879 GCC 40 32.00 16.00 21.00 31.00 |
274 GCC 41 25.10 22.90 23.10 28.90 | 880 GCC 41 33.00 28.00 19.00 20.00 |
275 GCC 42 25.50 22.70 22.20 29.60 | 881 GCC 42 30.50 25.50 19.50 24.50 |
276 GCC 43 22.60 23.00 24.10 30.30 | 882 GCC 43 35.00 29.00 15.00 21.00 |
277 GCC 44 21.70 21.60 24.20 32.50 | 883 GCC 44 20.00 27.00 22.00 31.00 |
278 GCC 45 21.80 22.70 21.20 34.30 | 884 GCC 45 40.50 21.50 21.50 16.50 |
279 GCC 46 22.80 22.00 23.80 31.40 | 885 GCC 46 26.50 20.50 22.50 30.50 |
280 GCC 47 23.70 22.30 23.90 30.10 | 886 GCC 47 38.50 29.50 16.50 15.50 |
281 GCC 48 24.30 21.70 24.80 29.20 | 887 GCC 48 27.50 24.50 17.50 30.50 |
282 GCC 49 23.90 22.00 22.90 31.20 | 888 GCC 49 28.50 32.50 10.50 28.50 |
283 GCC 50 23.50 22.40 22.80 31.30 | 889 GCC 50 46.50 20.50 9.50 23.50 |
284 GCC 51 23.30 20.40 24.70 31.60 | 890 GCC 51 34.50 28.50 13.50 23.50 |
285 GCC 52 23.30 20.20 25.10 31.40 | 891 GCC 52 41.50 23.50 20.50 14.50 |
286 GCC 53 23.70 22.00 22.30 32.00 | 892 GCC 53 20.00 28.00 26.00 26.00 |
287 GCC 54 23.30 21.30 25.40 30.00 | 893 GCC 54 31.50 18.50 24.50 25.50 |
288 GCC 55 25.30 21.40 22.60 30.70 | 894 GCC 55 30.50 22.50 16.50 30.50 |
289 GCC 56 24.40 24.10 19.20 32.30 | 895 GCC 56 33.50 22.50 13.50 30.50 |
290 GCC 57 22.00 21.50 24.50 32.00 | 896 GCC 57 23.00 24.00 23.00 30.00 |
291 GCC 58 24.90 21.20 24.20 29.70 | 897 GCC 58 25.00 37.00 19.00 19.00 |
292 GCC 59 24.10 21.70 24.50 29.70 | 898 GCC 59 34.00 23.00 24.00 19.00 |
293 GCC 60 24.80 20.90 25.10 29.20 | 899 GCC 60 29.00 28.00 17.00 26.00 |
294 GCC 61 21.30 21.60 28.10 29.00 | 900 GCC 61 25.50 23.50 24.50 26.50 |
295 GCC 62 23.80 21.80 21.70 32.70 | 901 GCC 62 31.50 22.50 16.50 29.50 |
296 GCC 63 23.30 22.80 23.50 30.40 | 902 GCC 63 27.50 28.50 25.50 18.50 |
297 GCC 64 24.00 21.40 23.50 31.10 | 903 GCC 64 33.50 21.50 25.50 19.50 |
298 GCC 65 24.40 22.80 22.50 30.30 | 904 GCC 65 35.50 19.50 18.50 26.50 |
299 GCC 66 24.70 22.30 21.40 31.60 | 905 GCC 66 34.00 25.00 15.00 26.00 |
300 GCC 67 22.40 21.10 24.60 31.90 | 906 GCC 67 37.00 23.00 19.00 21.00 |
301 GCC 68 24.60 22.90 20.60 31.90 | 907 GCC 68 36.50 29.50 13.50 20.50 |
302 GCC 69 22.40 23.00 23.10 31.50 | 908 GCC 69 38.50 19.50 20.50 21.50 |
303 GCC 70 23.50 19.50 23.90 33.10 | 909 GCC 70 38.50 16.50 18.50 26.50 |
304 # Insert sizes. Use `grep ^IS | cut -f 2-` to extract this part. The columns are: pairs total, inward oriented pairs, outward oriented pairs, other pairs | 910 GCC 71 25.50 38.50 21.50 14.50 |
305 IS 0 0 0 0 0 | 911 GCC 72 29.00 29.00 25.00 17.00 |
306 IS 1 0 0 0 0 | 912 GCC 73 32.50 20.50 21.50 25.50 |
307 IS 2 0 0 0 0 | 913 GCC 74 28.50 32.50 12.50 26.50 |
308 IS 3 0 0 0 0 | 914 GCC 75 41.50 12.50 18.50 27.50 |
309 IS 4 0 0 0 0 | 915 GCC 76 24.50 29.50 23.50 22.50 |
310 IS 5 0 0 0 0 | 916 GCC 77 36.00 21.00 18.00 25.00 |
311 IS 6 0 0 0 0 | 917 GCC 78 27.00 34.00 22.00 17.00 |
312 IS 7 0 0 0 0 | 918 GCC 79 21.50 26.50 25.50 26.50 |
313 IS 8 0 0 0 0 | 919 GCC 80 34.00 19.00 28.00 19.00 |
314 IS 9 0 0 0 0 | 920 GCC 81 17.00 26.00 26.00 31.00 |
315 IS 10 0 0 0 0 | 921 GCC 82 31.00 30.00 23.00 16.00 |
316 IS 11 0 0 0 0 | 922 GCC 83 31.50 26.50 12.50 29.50 |
317 IS 12 0 0 0 0 | 923 GCC 84 19.00 41.00 21.00 19.00 |
318 IS 13 0 0 0 0 | 924 GCC 85 37.50 24.50 16.50 21.50 |
319 IS 14 0 0 0 0 | 925 GCC 86 15.00 48.00 15.00 22.00 |
320 IS 15 0 0 0 0 | 926 GCC 87 41.00 16.00 18.00 25.00 |
321 IS 16 0 0 0 0 | 927 GCC 88 23.50 27.50 27.50 21.50 |
322 IS 17 0 0 0 0 | 928 GCC 89 26.50 27.50 26.50 19.50 |
323 IS 18 0 0 0 0 | 929 GCC 90 18.50 23.50 24.50 33.50 |
324 IS 19 0 0 0 0 | 930 GCC 91 27.00 32.00 22.00 19.00 |
325 IS 20 0 0 0 0 | 931 GCC 92 23.50 17.50 27.50 31.50 |
326 IS 21 0 0 0 0 | 932 GCC 93 25.50 37.50 15.50 21.50 |
327 IS 22 0 0 0 0 | 933 GCC 94 27.00 17.00 24.00 32.00 |
328 IS 23 0 0 0 0 | 934 GCC 95 26.50 37.50 14.50 21.50 |
329 IS 24 0 0 0 0 | 935 GCC 96 29.50 25.50 16.50 28.50 |
330 IS 25 0 0 0 0 | 936 GCC 97 29.00 31.00 21.00 19.00 |
331 IS 26 0 0 0 0 | 937 GCC 98 18.00 33.00 22.00 27.00 |
332 IS 27 0 0 0 0 | 938 GCC 99 24.50 33.50 24.50 17.50 |
333 IS 28 0 0 0 0 | 939 GCC 100 24.50 16.50 24.50 34.50 |
334 IS 29 0 0 0 0 | 940 GCC 101 25.00 40.00 19.00 16.00 |
335 IS 30 0 0 0 0 | 941 GCC 102 17.50 17.50 32.50 32.50 |
336 IS 31 0 0 0 0 | 942 GCC 103 31.00 26.00 16.00 27.00 |
337 IS 32 0 0 0 0 | 943 GCC 104 26.50 29.50 20.50 23.50 |
338 IS 33 0 0 0 0 | 944 GCC 105 34.00 33.00 21.00 12.00 |
339 IS 34 0 0 0 0 | 945 GCC 106 23.00 31.00 26.00 20.00 |
340 IS 35 0 0 0 0 | 946 GCC 107 17.50 35.50 23.50 23.50 |
341 IS 36 0 0 0 0 | 947 GCC 108 24.50 30.50 23.50 21.50 |
342 IS 37 0 0 0 0 | 948 GCC 109 17.00 31.00 22.00 30.00 |
343 IS 38 0 0 0 0 | 949 GCC 110 16.00 35.00 24.00 25.00 |
344 IS 39 0 0 0 0 | 950 GCC 111 24.00 32.00 23.00 21.00 |
345 IS 40 0 0 0 0 | 951 GCC 112 37.00 28.00 16.00 19.00 |
346 IS 41 0 0 0 0 | 952 GCC 113 19.50 22.50 32.50 25.50 |
347 IS 42 0 0 0 0 | 953 GCC 114 17.00 31.00 35.00 17.00 |
348 IS 43 0 0 0 0 | 954 GCC 115 29.50 24.50 23.50 22.50 |
349 IS 44 0 0 0 0 | 955 GCC 116 22.00 30.00 34.00 14.00 |
350 IS 45 0 0 0 0 | 956 GCC 117 27.00 23.00 19.00 31.00 |
351 IS 46 0 0 0 0 | 957 GCC 118 25.50 14.50 34.50 25.50 |
352 IS 47 0 0 0 0 | 958 GCC 119 22.50 34.50 20.50 22.50 |
353 IS 48 0 0 0 0 | 959 GCC 120 17.50 24.50 26.50 31.50 |
354 IS 49 0 0 0 0 | 960 GCC 121 27.50 33.50 22.50 16.50 |
355 IS 50 0 0 0 0 | 961 GCC 122 17.00 23.00 25.00 35.00 |
356 IS 51 0 0 0 0 | 962 GCC 123 23.50 46.50 11.50 18.50 |
357 IS 52 0 0 0 0 | 963 GCC 124 9.00 32.00 34.00 25.00 |
358 IS 53 0 0 0 0 | 964 GCC 125 24.00 27.00 19.00 30.00 |
359 IS 54 0 0 0 0 | 965 GCC 126 26.00 17.00 28.00 29.00 |
360 IS 55 0 0 0 0 | 966 GCC 127 26.50 16.50 21.50 35.50 |
361 IS 56 0 0 0 0 | 967 GCC 128 18.00 34.00 31.00 17.00 |
362 IS 57 0 0 0 0 | 968 GCC 129 25.50 25.50 27.50 21.50 |
363 IS 58 0 0 0 0 | 969 GCC 130 25.00 20.00 22.00 33.00 |
364 IS 59 0 0 0 0 | 970 GCC 131 17.50 39.50 24.50 18.50 |
365 IS 60 0 0 0 0 | 971 GCC 132 21.00 28.00 23.00 28.00 |
366 IS 61 0 0 0 0 | 972 GCC 133 13.50 31.50 35.50 19.50 |
367 IS 62 0 0 0 0 | 973 GCC 134 24.50 19.50 30.50 25.50 |
368 IS 63 0 0 0 0 | 974 GCC 135 16.50 23.50 30.50 29.50 |
369 IS 64 0 0 0 0 | 975 GCC 136 28.00 32.00 15.00 25.00 |
370 IS 65 0 0 0 0 | 976 GCC 137 22.50 21.50 30.50 25.50 |
371 IS 66 0 0 0 0 | 977 GCC 138 14.50 34.50 24.50 26.50 |
372 IS 67 0 0 0 0 | 978 GCC 139 20.50 29.50 24.50 25.50 |
373 IS 68 0 0 0 0 | 979 GCC 140 17.00 23.00 30.00 30.00 |
374 IS 69 0 0 0 0 | 980 GCC 141 20.50 23.50 25.50 30.50 |
375 IS 70 0 0 0 0 | 981 GCC 142 18.00 29.00 38.00 15.00 |
376 IS 71 0 0 0 0 | 982 GCC 143 22.00 24.00 27.00 27.00 |
377 IS 72 0 0 0 0 | 983 GCC 144 21.50 30.50 26.50 21.50 |
378 IS 73 0 0 0 0 | 984 GCC 145 22.00 21.00 29.00 28.00 |
379 IS 74 0 0 0 0 | 985 GCC 146 25.00 16.00 39.00 20.00 |
380 IS 75 0 0 0 0 | 986 GCC 147 26.50 22.50 30.50 20.50 |
381 IS 76 0 0 0 0 | 987 GCC 148 12.50 28.50 36.50 22.50 |
382 IS 77 0 0 0 0 | 988 GCC 149 26.50 23.50 23.50 26.50 |
383 IS 78 0 0 0 0 | 989 GCC 150 14.00 29.00 24.00 33.00 |
384 IS 79 0 0 0 0 | 990 GCC 151 19.50 30.50 32.50 17.50 |
385 IS 80 0 0 0 0 | 991 GCC 152 18.50 17.50 29.50 34.50 |
386 IS 81 0 0 0 0 | 992 GCC 153 22.50 22.50 31.50 23.50 |
387 IS 82 0 0 0 0 | 993 GCC 154 22.00 21.00 29.00 28.00 |
388 IS 83 0 0 0 0 | 994 GCC 155 21.00 26.00 19.00 34.00 |
389 IS 84 0 0 0 0 | 995 GCC 156 14.50 23.50 35.50 26.50 |
390 IS 85 0 0 0 0 | 996 GCC 157 22.00 31.00 23.00 24.00 |
391 IS 86 0 0 0 0 | 997 GCC 158 22.50 29.50 24.50 23.50 |
392 IS 87 0 0 0 0 | 998 GCC 159 17.50 12.50 46.50 23.50 |
393 IS 88 0 0 0 0 | 999 GCC 160 24.50 26.50 26.50 22.50 |
394 IS 89 0 0 0 0 | 1000 GCC 161 13.00 23.00 45.00 19.00 |
395 IS 90 0 0 0 0 | 1001 GCC 162 31.50 16.50 22.50 29.50 |
396 IS 91 0 0 0 0 | 1002 GCC 163 19.50 21.50 35.50 23.50 |
397 IS 92 0 0 0 0 | 1003 GCC 164 29.00 18.00 21.00 32.00 |
398 IS 93 0 0 0 0 | 1004 GCC 165 14.50 17.50 35.50 32.50 |
399 IS 94 0 0 0 0 | 1005 GCC 166 17.50 37.50 28.50 16.50 |
400 IS 95 0 0 0 0 | 1006 GCC 167 16.50 21.50 31.50 30.50 |
401 IS 96 0 0 0 0 | 1007 GCC 168 14.00 25.00 30.00 31.00 |
402 IS 97 0 0 0 0 | 1008 GCC 169 18.50 20.50 23.50 37.50 |
403 IS 98 0 0 0 0 | 1009 GCC 170 19.00 23.00 28.00 30.00 |
404 IS 99 0 0 0 0 | 1010 GCC 171 20.00 28.00 33.00 19.00 |
405 IS 100 0 0 0 0 | 1011 GCC 172 19.00 20.00 32.00 29.00 |
406 IS 101 0 0 0 0 | 1012 GCC 173 24.50 16.50 33.50 25.50 |
407 IS 102 0 0 0 0 | 1013 GCC 174 17.50 23.50 33.50 25.50 |
408 IS 103 0 0 0 0 | 1014 GCC 175 33.50 17.50 35.50 13.50 |
409 IS 104 0 0 0 0 | 1015 GCC 176 16.50 32.50 28.50 22.50 |
410 IS 105 0 0 0 0 | 1016 GCC 177 19.00 22.00 27.00 32.00 |
411 IS 106 0 0 0 0 | 1017 GCC 178 16.00 26.00 30.00 28.00 |
412 IS 107 0 0 0 0 | 1018 GCC 179 18.00 18.00 22.00 42.00 |
413 IS 108 0 0 0 0 | 1019 GCC 180 21.00 22.00 34.00 23.00 |
414 IS 109 0 0 0 0 | 1020 GCC 181 20.50 19.50 35.50 24.50 |
415 IS 110 0 0 0 0 | 1021 GCC 182 32.50 18.50 22.50 26.50 |
416 IS 111 0 0 0 0 | 1022 GCC 183 24.50 13.50 28.50 33.50 |
417 IS 112 0 0 0 0 | 1023 GCC 184 15.00 29.00 30.00 26.00 |
418 IS 113 0 0 0 0 | 1024 GCC 185 15.00 32.00 33.00 20.00 |
419 IS 114 0 0 0 0 | 1025 GCC 186 22.50 23.50 34.50 19.50 |
420 IS 115 0 0 0 0 | 1026 GCC 187 19.00 14.00 40.00 27.00 |
421 IS 116 0 0 0 0 | 1027 GCC 188 27.50 21.50 27.50 23.50 |
422 IS 117 0 0 0 0 | 1028 GCC 189 17.00 22.00 34.00 27.00 |
423 IS 118 0 0 0 0 | 1029 GCC 190 23.00 30.00 23.00 24.00 |
424 IS 119 0 0 0 0 | 1030 GCC 191 25.00 22.00 28.00 25.00 |
425 IS 120 0 0 0 0 | 1031 GCC 192 34.50 24.50 13.50 27.50 |
426 IS 121 0 0 0 0 | 1032 GCC 193 18.50 25.50 25.50 30.50 |
427 IS 122 0 0 0 0 | 1033 GCC 194 18.50 33.50 24.50 23.50 |
428 IS 123 0 0 0 0 | 1034 GCC 195 16.00 26.00 23.00 35.00 |
429 IS 124 0 0 0 0 | 1035 GCC 196 21.50 25.50 24.50 28.50 |
430 IS 125 0 0 0 0 | 1036 GCC 197 20.00 21.00 23.00 36.00 |
431 IS 126 0 0 0 0 | 1037 GCC 198 17.00 21.00 37.00 25.00 |
432 IS 127 0 0 0 0 | 1038 GCC 199 20.50 18.50 25.50 35.50 |
433 IS 128 0 0 0 0 | 1039 GCC 200 21.00 29.00 21.00 29.00 |
434 IS 129 0 0 0 0 | 1040 GCC 201 27.00 21.00 23.00 29.00 |
435 IS 130 0 0 0 0 | 1041 GCC 202 21.50 24.50 19.50 34.50 |
436 IS 131 0 0 0 0 | 1042 GCC 203 21.50 24.50 26.50 27.50 |
437 IS 132 0 0 0 0 | 1043 GCC 204 27.00 29.00 24.00 20.00 |
438 IS 133 0 0 0 0 | 1044 GCC 205 19.50 21.50 22.50 36.50 |
439 IS 134 0 0 0 0 | 1045 GCC 206 26.50 24.50 21.50 27.50 |
440 IS 135 0 0 0 0 | 1046 GCC 207 22.50 21.50 19.50 36.50 |
441 IS 136 0 0 0 0 | 1047 GCC 208 14.00 35.00 29.00 22.00 |
442 IS 137 0 0 0 0 | 1048 GCC 209 16.00 23.00 12.00 49.00 |
443 IS 138 0 0 0 0 | 1049 GCC 210 18.50 19.50 40.50 21.50 |
444 IS 139 0 0 0 0 | 1050 GCC 211 26.00 20.00 22.00 32.00 |
445 IS 140 0 0 0 0 | 1051 GCC 212 21.00 31.00 18.00 30.00 |
446 IS 141 0 0 0 0 | 1052 GCC 213 24.00 15.00 31.00 30.00 |
447 IS 142 0 0 0 0 | 1053 GCC 214 17.50 24.50 25.50 32.50 |
448 IS 143 0 0 0 0 | 1054 GCC 215 26.00 24.00 23.00 27.00 |
449 IS 144 0 0 0 0 | 1055 GCC 216 21.50 17.50 25.50 35.50 |
450 IS 145 0 0 0 0 | 1056 GCC 217 26.00 29.00 17.00 28.00 |
451 IS 146 0 0 0 0 | 1057 GCC 218 20.00 27.00 21.00 32.00 |
452 IS 147 0 0 0 0 | 1058 GCC 219 17.00 21.00 21.00 41.00 |
453 IS 148 0 0 0 0 | 1059 GCC 220 25.50 23.50 23.50 27.50 |
454 IS 149 0 0 0 0 | 1060 GCC 221 21.50 23.50 20.50 34.50 |
455 IS 150 0 0 0 0 | 1061 GCC 222 21.50 21.50 18.50 38.50 |
456 IS 151 0 0 0 0 | 1062 GCC 223 20.00 27.00 28.00 25.00 |
457 IS 152 0 0 0 0 | 1063 GCC 224 22.50 22.50 24.50 30.50 |
458 IS 153 0 0 0 0 | 1064 GCC 225 14.50 35.50 30.50 19.50 |
459 IS 154 0 0 0 0 | 1065 GCC 226 20.00 23.00 26.00 31.00 |
460 IS 155 0 0 0 0 | 1066 GCC 227 20.50 24.50 23.50 31.50 |
461 IS 156 0 0 0 0 | 1067 GCC 228 33.00 19.00 26.00 22.00 |
462 IS 157 0 0 0 0 | 1068 GCC 229 22.50 24.50 18.50 34.50 |
463 IS 158 0 0 0 0 | 1069 GCC 230 21.00 32.00 16.00 31.00 |
464 IS 159 0 0 0 0 | 1070 GCC 231 23.00 28.00 30.00 19.00 |
465 IS 160 0 0 0 0 | 1071 GCC 232 23.50 21.50 12.50 42.50 |
466 IS 161 0 0 0 0 | 1072 GCC 233 21.00 27.00 25.00 27.00 |
467 IS 162 0 0 0 0 | 1073 GCC 234 16.50 27.50 22.50 33.50 |
468 IS 163 0 0 0 0 | 1074 GCC 235 20.00 15.00 28.00 37.00 |
469 IS 164 0 0 0 0 | 1075 GCC 236 28.00 23.00 21.00 28.00 |
470 IS 165 0 0 0 0 | 1076 GCC 237 20.50 19.50 22.50 37.50 |
471 IS 166 0 0 0 0 | 1077 GCC 238 21.50 29.50 24.50 24.50 |
472 IS 167 0 0 0 0 | 1078 GCC 239 20.00 8.00 17.00 55.00 |
473 IS 168 0 0 0 0 | 1079 GCC 240 28.00 24.00 16.00 32.00 |
474 IS 169 0 0 0 0 | 1080 GCC 241 22.50 22.50 16.50 38.50 |
475 IS 170 0 0 0 0 | 1081 GCC 242 29.00 25.00 13.00 33.00 |
476 IS 171 0 0 0 0 | 1082 GCC 243 22.50 15.50 23.50 38.50 |
477 IS 172 0 0 0 0 | 1083 GCC 244 20.50 23.50 16.50 39.50 |
478 IS 173 0 0 0 0 | 1084 GCC 245 28.00 23.00 19.00 30.00 |
479 IS 174 0 0 0 0 | 1085 GCC 246 21.00 29.00 25.00 25.00 |
480 IS 175 0 0 0 0 | 1086 GCC 247 32.00 14.00 13.00 41.00 |
481 IS 176 0 0 0 0 | 1087 GCC 248 18.00 18.00 25.00 39.00 |
482 IS 177 0 0 0 0 | 1088 GCC 249 25.00 23.00 21.00 31.00 |
483 IS 178 0 0 0 0 | 1089 GCC 250 27.50 22.50 17.50 32.50 |
484 IS 179 0 0 0 0 | 1090 GCC 251 13.50 20.50 36.50 29.50 |
485 IS 180 0 0 0 0 | 1091 # 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 |
486 IS 181 0 0 0 0 | |
487 IS 182 0 0 0 0 | |
488 IS 183 0 0 0 0 | |
489 IS 184 0 0 0 0 | |
490 IS 185 0 0 0 0 | |
491 IS 186 0 0 0 0 | |
492 IS 187 0 0 0 0 | |
493 IS 188 0 0 0 0 | |
494 IS 189 0 0 0 0 | |
495 IS 190 0 0 0 0 | |
496 IS 191 0 0 0 0 | |
497 IS 192 0 0 0 0 | |
498 IS 193 0 0 0 0 | |
499 IS 194 0 0 0 0 | |
500 IS 195 0 0 0 0 | |
501 IS 196 0 0 0 0 | |
502 IS 197 0 0 0 0 | |
503 IS 198 0 0 0 0 | |
504 IS 199 0 0 0 0 | |
505 IS 200 0 0 0 0 | |
506 IS 201 0 0 0 0 | |
507 IS 202 0 0 0 0 | |
508 IS 203 0 0 0 0 | |
509 IS 204 0 0 0 0 | |
510 IS 205 0 0 0 0 | |
511 IS 206 0 0 0 0 | |
512 IS 207 0 0 0 0 | |
513 IS 208 0 0 0 0 | |
514 IS 209 0 0 0 0 | |
515 IS 210 0 0 0 0 | |
516 IS 211 0 0 0 0 | |
517 IS 212 0 0 0 0 | |
518 IS 213 0 0 0 0 | |
519 IS 214 0 0 0 0 | |
520 IS 215 0 0 0 0 | |
521 IS 216 0 0 0 0 | |
522 IS 217 0 0 0 0 | |
523 IS 218 0 0 0 0 | |
524 IS 219 0 0 0 0 | |
525 IS 220 0 0 0 0 | |
526 IS 221 0 0 0 0 | |
527 IS 222 0 0 0 0 | |
528 IS 223 0 0 0 0 | |
529 IS 224 0 0 0 0 | |
530 IS 225 0 0 0 0 | |
531 IS 226 0 0 0 0 | |
532 IS 227 0 0 0 0 | |
533 IS 228 0 0 0 0 | |
534 IS 229 0 0 0 0 | |
535 IS 230 0 0 0 0 | |
536 IS 231 0 0 0 0 | |
537 IS 232 0 0 0 0 | |
538 IS 233 0 0 0 0 | |
539 IS 234 0 0 0 0 | |
540 IS 235 0 0 0 0 | |
541 IS 236 0 0 0 0 | |
542 IS 237 0 0 0 0 | |
543 IS 238 0 0 0 0 | |
544 IS 239 0 0 0 0 | |
545 IS 240 0 0 0 0 | |
546 IS 241 0 0 0 0 | |
547 IS 242 0 0 0 0 | |
548 IS 243 0 0 0 0 | |
549 IS 244 0 0 0 0 | |
550 IS 245 0 0 0 0 | |
551 IS 246 0 0 0 0 | |
552 IS 247 0 0 0 0 | |
553 IS 248 0 0 0 0 | |
554 IS 249 0 0 0 0 | |
555 IS 250 0 0 0 0 | |
556 IS 251 0 0 0 0 | |
557 IS 252 0 0 0 0 | |
558 IS 253 0 0 0 0 | |
559 IS 254 0 0 0 0 | |
560 IS 255 0 0 0 0 | |
561 IS 256 0 0 0 0 | |
562 IS 257 0 0 0 0 | |
563 IS 258 0 0 0 0 | |
564 IS 259 0 0 0 0 | |
565 IS 260 0 0 0 0 | |
566 IS 261 0 0 0 0 | |
567 IS 262 0 0 0 0 | |
568 IS 263 0 0 0 0 | |
569 IS 264 0 0 0 0 | |
570 IS 265 0 0 0 0 | |
571 IS 266 0 0 0 0 | |
572 IS 267 0 0 0 0 | |
573 IS 268 0 0 0 0 | |
574 IS 269 0 0 0 0 | |
575 IS 270 0 0 0 0 | |
576 IS 271 0 0 0 0 | |
577 IS 272 0 0 0 0 | |
578 IS 273 0 0 0 0 | |
579 IS 274 0 0 0 0 | |
580 IS 275 0 0 0 0 | |
581 IS 276 0 0 0 0 | |
582 IS 277 0 0 0 0 | |
583 IS 278 0 0 0 0 | |
584 IS 279 0 0 0 0 | |
585 IS 280 0 0 0 0 | |
586 IS 281 0 0 0 0 | |
587 IS 282 0 0 0 0 | |
588 IS 283 0 0 0 0 | |
589 IS 284 0 0 0 0 | |
590 IS 285 0 0 0 0 | |
591 IS 286 0 0 0 0 | |
592 IS 287 0 0 0 0 | |
593 IS 288 0 0 0 0 | |
594 IS 289 0 0 0 0 | |
595 IS 290 0 0 0 0 | |
596 IS 291 0 0 0 0 | |
597 IS 292 0 0 0 0 | |
598 IS 293 0 0 0 0 | |
599 IS 294 0 0 0 0 | |
600 IS 295 0 0 0 0 | |
601 IS 296 0 0 0 0 | |
602 IS 297 0 0 0 0 | |
603 IS 298 0 0 0 0 | |
604 IS 299 0 0 0 0 | |
605 IS 300 0 0 0 0 | |
606 IS 301 0 0 0 0 | |
607 IS 302 0 0 0 0 | |
608 IS 303 0 0 0 0 | |
609 IS 304 0 0 0 0 | |
610 IS 305 0 0 0 0 | |
611 IS 306 0 0 0 0 | |
612 IS 307 0 0 0 0 | |
613 IS 308 0 0 0 0 | |
614 IS 309 0 0 0 0 | |
615 IS 310 0 0 0 0 | |
616 IS 311 1 1 0 0 | |
617 IS 312 0 0 0 0 | |
618 IS 313 0 0 0 0 | |
619 IS 314 0 0 0 0 | |
620 IS 315 0 0 0 0 | |
621 IS 316 0 0 0 0 | |
622 IS 317 0 0 0 0 | |
623 IS 318 0 0 0 0 | |
624 IS 319 0 0 0 0 | |
625 IS 320 0 0 0 0 | |
626 IS 321 0 0 0 0 | |
627 IS 322 0 0 0 0 | |
628 IS 323 0 0 0 0 | |
629 IS 324 0 0 0 0 | |
630 IS 325 0 0 0 0 | |
631 IS 326 0 0 0 0 | |
632 IS 327 0 0 0 0 | |
633 IS 328 0 0 0 0 | |
634 IS 329 0 0 0 0 | |
635 IS 330 0 0 0 0 | |
636 IS 331 0 0 0 0 | |
637 IS 332 0 0 0 0 | |
638 IS 333 0 0 0 0 | |
639 IS 334 0 0 0 0 | |
640 IS 335 0 0 0 0 | |
641 IS 336 0 0 0 0 | |
642 IS 337 0 0 0 0 | |
643 IS 338 0 0 0 0 | |
644 IS 339 0 0 0 0 | |
645 IS 340 0 0 0 0 | |
646 IS 341 0 0 0 0 | |
647 IS 342 0 0 0 0 | |
648 IS 343 0 0 0 0 | |
649 IS 344 0 0 0 0 | |
650 IS 345 1 1 0 0 | |
651 IS 346 0 0 0 0 | |
652 IS 347 1 1 0 0 | |
653 IS 348 0 0 0 0 | |
654 IS 349 0 0 0 0 | |
655 IS 350 0 0 0 0 | |
656 IS 351 0 0 0 0 | |
657 IS 352 0 0 0 0 | |
658 IS 353 0 0 0 0 | |
659 IS 354 0 0 0 0 | |
660 IS 355 0 0 0 0 | |
661 IS 356 0 0 0 0 | |
662 IS 357 0 0 0 0 | |
663 IS 358 0 0 0 0 | |
664 IS 359 0 0 0 0 | |
665 IS 360 0 0 0 0 | |
666 IS 361 0 0 0 0 | |
667 IS 362 0 0 0 0 | |
668 IS 363 0 0 0 0 | |
669 IS 364 1 1 0 0 | |
670 IS 365 0 0 0 0 | |
671 IS 366 0 0 0 0 | |
672 IS 367 0 0 0 0 | |
673 IS 368 0 0 0 0 | |
674 IS 369 0 0 0 0 | |
675 IS 370 1 1 0 0 | |
676 IS 371 1 1 0 0 | |
677 IS 372 0 0 0 0 | |
678 IS 373 0 0 0 0 | |
679 IS 374 0 0 0 0 | |
680 IS 375 0 0 0 0 | |
681 IS 376 0 0 0 0 | |
682 IS 377 0 0 0 0 | |
683 IS 378 2 2 0 0 | |
684 IS 379 0 0 0 0 | |
685 IS 380 0 0 0 0 | |
686 IS 381 0 0 0 0 | |
687 IS 382 0 0 0 0 | |
688 IS 383 0 0 0 0 | |
689 IS 384 0 0 0 0 | |
690 IS 385 0 0 0 0 | |
691 IS 386 0 0 0 0 | |
692 IS 387 1 1 0 0 | |
693 IS 388 1 1 0 0 | |
694 IS 389 0 0 0 0 | |
695 IS 390 1 1 0 0 | |
696 IS 391 0 0 0 0 | |
697 IS 392 0 0 0 0 | |
698 IS 393 0 0 0 0 | |
699 IS 394 1 1 0 0 | |
700 IS 395 1 1 0 0 | |
701 IS 396 1 1 0 0 | |
702 IS 397 0 0 0 0 | |
703 IS 398 1 1 0 0 | |
704 IS 399 0 0 0 0 | |
705 IS 400 1 1 0 0 | |
706 IS 401 0 0 0 0 | |
707 IS 402 0 0 0 0 | |
708 IS 403 1 1 0 0 | |
709 IS 404 0 0 0 0 | |
710 IS 405 0 0 0 0 | |
711 IS 406 0 0 0 0 | |
712 IS 407 1 1 0 0 | |
713 IS 408 1 1 0 0 | |
714 IS 409 3 3 0 0 | |
715 IS 410 4 4 0 0 | |
716 IS 411 0 0 0 0 | |
717 IS 412 0 0 0 0 | |
718 IS 413 1 1 0 0 | |
719 IS 414 1 1 0 0 | |
720 IS 415 1 1 0 0 | |
721 IS 416 1 1 0 0 | |
722 IS 417 0 0 0 0 | |
723 IS 418 1 1 0 0 | |
724 IS 419 0 0 0 0 | |
725 IS 420 1 1 0 0 | |
726 IS 421 1 1 0 0 | |
727 IS 422 0 0 0 0 | |
728 IS 423 0 0 0 0 | |
729 IS 424 3 3 0 0 | |
730 IS 425 3 3 0 0 | |
731 IS 426 0 0 0 0 | |
732 IS 427 1 1 0 0 | |
733 IS 428 1 1 0 0 | |
734 IS 429 0 0 0 0 | |
735 IS 430 0 0 0 0 | |
736 IS 431 4 4 0 0 | |
737 IS 432 1 1 0 0 | |
738 IS 433 1 1 0 0 | |
739 IS 434 3 3 0 0 | |
740 IS 435 1 1 0 0 | |
741 IS 436 1 1 0 0 | |
742 IS 437 0 0 0 0 | |
743 IS 438 1 1 0 0 | |
744 IS 439 0 0 0 0 | |
745 IS 440 3 3 0 0 | |
746 IS 441 1 1 0 0 | |
747 IS 442 4 4 0 0 | |
748 IS 443 3 3 0 0 | |
749 IS 444 1 1 0 0 | |
750 IS 445 4 4 0 0 | |
751 IS 446 1 1 0 0 | |
752 IS 447 1 1 0 0 | |
753 IS 448 1 1 0 0 | |
754 IS 449 2 2 0 0 | |
755 IS 450 3 3 0 0 | |
756 IS 451 5 5 0 0 | |
757 IS 452 2 2 0 0 | |
758 IS 453 3 3 0 0 | |
759 IS 454 4 4 0 0 | |
760 IS 455 7 7 0 0 | |
761 IS 456 3 3 0 0 | |
762 IS 457 4 4 0 0 | |
763 IS 458 2 2 0 0 | |
764 IS 459 3 3 0 0 | |
765 IS 460 2 2 0 0 | |
766 IS 461 2 2 0 0 | |
767 IS 462 2 2 0 0 | |
768 IS 463 2 2 0 0 | |
769 IS 464 1 1 0 0 | |
770 IS 465 6 6 0 0 | |
771 IS 466 4 4 0 0 | |
772 IS 467 6 6 0 0 | |
773 IS 468 1 1 0 0 | |
774 IS 469 1 1 0 0 | |
775 IS 470 1 1 0 0 | |
776 IS 471 3 3 0 0 | |
777 IS 472 8 8 0 0 | |
778 IS 473 4 4 0 0 | |
779 IS 474 2 2 0 0 | |
780 IS 475 2 2 0 0 | |
781 IS 476 4 4 0 0 | |
782 IS 477 6 6 0 0 | |
783 IS 478 3 3 0 0 | |
784 IS 479 6 6 0 0 | |
785 IS 480 7 7 0 0 | |
786 IS 481 3 3 0 0 | |
787 IS 482 2 2 0 0 | |
788 IS 483 1 1 0 0 | |
789 IS 484 6 6 0 0 | |
790 IS 485 6 6 0 0 | |
791 IS 486 6 6 0 0 | |
792 IS 487 2 2 0 0 | |
793 IS 488 4 4 0 0 | |
794 IS 489 3 3 0 0 | |
795 IS 490 6 6 0 0 | |
796 IS 491 3 3 0 0 | |
797 IS 492 5 5 0 0 | |
798 IS 493 2 2 0 0 | |
799 IS 494 4 4 0 0 | |
800 IS 495 0 0 0 0 | |
801 IS 496 7 7 0 0 | |
802 IS 497 5 5 0 0 | |
803 IS 498 4 4 0 0 | |
804 IS 499 6 6 0 0 | |
805 IS 500 0 0 0 0 | |
806 IS 501 2 2 0 0 | |
807 IS 502 2 2 0 0 | |
808 IS 503 4 4 0 0 | |
809 IS 504 3 3 0 0 | |
810 IS 505 3 3 0 0 | |
811 IS 506 2 2 0 0 | |
812 IS 507 4 4 0 0 | |
813 IS 508 3 3 0 0 | |
814 IS 509 1 1 0 0 | |
815 IS 510 7 7 0 0 | |
816 IS 511 2 2 0 0 | |
817 IS 512 3 3 0 0 | |
818 IS 513 7 7 0 0 | |
819 IS 514 4 4 0 0 | |
820 IS 515 2 2 0 0 | |
821 IS 516 2 2 0 0 | |
822 IS 517 1 1 0 0 | |
823 IS 518 0 0 0 0 | |
824 IS 519 2 2 0 0 | |
825 IS 520 2 2 0 0 | |
826 IS 521 5 5 0 0 | |
827 IS 522 6 6 0 0 | |
828 IS 523 4 4 0 0 | |
829 IS 524 2 2 0 0 | |
830 IS 525 1 1 0 0 | |
831 IS 526 5 5 0 0 | |
832 IS 527 6 6 0 0 | |
833 IS 528 0 0 0 0 | |
834 IS 529 5 5 0 0 | |
835 IS 530 7 7 0 0 | |
836 IS 531 4 4 0 0 | |
837 IS 532 5 5 0 0 | |
838 IS 533 1 1 0 0 | |
839 IS 534 5 5 0 0 | |
840 IS 535 3 3 0 0 | |
841 IS 536 2 2 0 0 | |
842 IS 537 3 3 0 0 | |
843 IS 538 2 2 0 0 | |
844 IS 539 4 4 0 0 | |
845 IS 540 2 2 0 0 | |
846 IS 541 2 2 0 0 | |
847 IS 542 3 3 0 0 | |
848 IS 543 4 4 0 0 | |
849 IS 544 2 2 0 0 | |
850 IS 545 1 1 0 0 | |
851 IS 546 2 2 0 0 | |
852 IS 547 2 2 0 0 | |
853 IS 548 3 3 0 0 | |
854 IS 549 5 5 0 0 | |
855 IS 550 1 1 0 0 | |
856 IS 551 0 0 0 0 | |
857 IS 552 0 0 0 0 | |
858 IS 553 4 4 0 0 | |
859 IS 554 1 1 0 0 | |
860 IS 555 5 5 0 0 | |
861 IS 556 5 5 0 0 | |
862 IS 557 2 2 0 0 | |
863 IS 558 2 2 0 0 | |
864 IS 559 3 3 0 0 | |
865 IS 560 1 1 0 0 | |
866 IS 561 1 1 0 0 | |
867 IS 562 4 4 0 0 | |
868 IS 563 1 1 0 0 | |
869 IS 564 1 1 0 0 | |
870 IS 565 0 0 0 0 | |
871 IS 566 1 1 0 0 | |
872 IS 567 1 1 0 0 | |
873 IS 568 0 0 0 0 | |
874 IS 569 2 2 0 0 | |
875 IS 570 1 1 0 0 | |
876 IS 571 2 2 0 0 | |
877 IS 572 4 4 0 0 | |
878 IS 573 0 0 0 0 | |
879 IS 574 0 0 0 0 | |
880 IS 575 0 0 0 0 | |
881 IS 576 1 1 0 0 | |
882 IS 577 2 2 0 0 | |
883 IS 578 1 1 0 0 | |
884 IS 579 2 2 0 0 | |
885 IS 580 0 0 0 0 | |
886 IS 581 1 1 0 0 | |
887 IS 582 0 0 0 0 | |
888 IS 583 1 1 0 0 | |
889 IS 584 2 2 0 0 | |
890 IS 585 0 0 0 0 | |
891 IS 586 3 3 0 0 | |
892 IS 587 0 0 0 0 | |
893 IS 588 0 0 0 0 | |
894 IS 589 0 0 0 0 | |
895 IS 590 0 0 0 0 | |
896 IS 591 0 0 0 0 | |
897 IS 592 0 0 0 0 | |
898 IS 593 0 0 0 0 | |
899 IS 594 2 2 0 0 | |
900 IS 595 0 0 0 0 | |
901 IS 596 0 0 0 0 | |
902 IS 597 1 1 0 0 | |
903 IS 598 0 0 0 0 | |
904 IS 599 0 0 0 0 | |
905 IS 600 1 1 0 0 | |
906 IS 601 1 1 0 0 | |
907 IS 602 0 0 0 0 | |
908 IS 603 0 0 0 0 | |
909 IS 604 0 0 0 0 | |
910 IS 605 1 1 0 0 | |
911 IS 606 0 0 0 0 | |
912 IS 607 1 1 0 0 | |
913 IS 608 0 0 0 0 | |
914 IS 609 0 0 0 0 | |
915 IS 610 0 0 0 0 | |
916 IS 611 1 1 0 0 | |
917 # Read lengths. Use `grep ^RL | cut -f 2-` to extract this part. The columns are: read length, count | 1092 # Read lengths. Use `grep ^RL | cut -f 2-` to extract this part. The columns are: read length, count |
918 RL 70 1000 | 1093 RL 251 200 |
919 # Indel distribution. Use `grep ^ID | cut -f 2-` to extract this part. The columns are: length, number of insertions, number of deletions | 1094 # Indel distribution. Use `grep ^ID | cut -f 2-` to extract this part. The columns are: length, number of insertions, number of deletions |
920 ID 1 0 1 | 1095 ID 1 1 0 |
1096 ID 2 1 0 | |
1097 ID 4 2 0 | |
1098 ID 10 5 0 | |
1099 ID 13 1 0 | |
1100 ID 14 1 0 | |
1101 ID 15 1 0 | |
1102 ID 18 1 0 | |
1103 ID 21 1 0 | |
1104 ID 22 1 0 | |
1105 ID 23 2 0 | |
1106 ID 24 3 0 | |
1107 ID 29 1 0 | |
1108 ID 35 2 0 | |
1109 ID 38 2 0 | |
921 # 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) | 1110 # 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) |
922 IC 8 0 0 1 0 | 1111 IC 2 1 0 0 0 |
1112 IC 4 2 0 0 0 | |
1113 IC 5 3 0 0 0 | |
1114 IC 210 2 0 0 0 | |
1115 IC 219 1 0 0 0 | |
1116 IC 220 1 0 0 0 | |
1117 IC 224 2 0 0 0 | |
1118 IC 225 2 0 0 0 | |
1119 IC 226 1 0 0 0 | |
1120 IC 228 1 0 0 0 | |
1121 IC 230 1 0 0 0 | |
1122 IC 233 1 0 0 0 | |
1123 IC 234 1 0 0 0 | |
1124 IC 235 1 0 0 0 | |
1125 IC 236 1 0 0 0 | |
1126 IC 239 1 0 0 0 | |
1127 IC 240 1 0 0 0 | |
1128 IC 241 1 0 0 0 | |
1129 IC 247 1 0 0 0 | |
923 # Coverage distribution. Use `grep ^COV | cut -f 2-` to extract this part. | 1130 # Coverage distribution. Use `grep ^COV | cut -f 2-` to extract this part. |
924 COV [1-1] 1 42 | 1131 COV [1-1] 1 1 |
925 COV [2-2] 2 59 | 1132 COV [7-7] 7 1 |
926 COV [3-3] 3 73 | 1133 COV [18-18] 18 1 |
927 COV [4-4] 4 98 | 1134 COV [24-24] 24 1 |
928 COV [5-5] 5 128 | 1135 COV [25-25] 25 249 |
929 COV [6-6] 6 142 | |
930 COV [7-7] 7 226 | |
931 COV [8-8] 8 241 | |
932 COV [9-9] 9 281 | |
933 COV [10-10] 10 400 | |
934 COV [11-11] 11 450 | |
935 COV [12-12] 12 444 | |
936 COV [13-13] 13 433 | |
937 COV [14-14] 14 423 | |
938 COV [15-15] 15 392 | |
939 COV [16-16] 16 434 | |
940 COV [17-17] 17 294 | |
941 COV [18-18] 18 229 | |
942 COV [19-19] 19 143 | |
943 COV [20-20] 20 143 | |
944 COV [21-21] 21 149 | |
945 COV [22-22] 22 90 | |
946 COV [23-23] 23 41 | |
947 COV [24-24] 24 14 | |
948 # 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 | 1136 # 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 |
949 GCD 0.0 50.000 0.000 0.000 0.000 0.000 0.000 | 1137 GCD 0.0 100.000 0.000 0.000 0.000 0.000 0.000 |
950 GCD 44.0 75.000 14.875 14.875 14.875 14.875 14.875 | |
951 GCD 46.0 100.000 11.900 11.900 11.900 11.900 11.900 |