Mercurial > repos > devteam > samtools_stats
comparison test-data/samtools_stats_out1.tab @ 0:0d71d9467847 draft
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author | devteam |
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date | Wed, 22 Apr 2015 10:29:35 -0400 |
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children | 24c5d43cb545 |
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-1:000000000000 | 0:0d71d9467847 |
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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 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 | |
4 # CHK, CRC32 of reads which passed filtering followed by addition (32bit overflow) | |
5 CHK 1bd20fd8 58ad2167 29883386 | |
6 # Summary Numbers. Use `grep ^SN | cut -f 2-` to extract this part. | |
7 SN raw total sequences: 200 | |
8 SN filtered sequences: 0 | |
9 SN sequences: 200 | |
10 SN is sorted: 1 | |
11 SN 1st fragments: 100 | |
12 SN last fragments: 100 | |
13 SN reads mapped: 25 | |
14 SN reads mapped and paired: 0 # paired-end technology bit set + both mates mapped | |
15 SN reads unmapped: 175 | |
16 SN reads properly paired: 0 # proper-pair bit set | |
17 SN reads paired: 200 # paired-end technology bit set | |
18 SN reads duplicated: 0 # PCR or optical duplicate bit set | |
19 SN reads MQ0: 6 # mapped and MQ=0 | |
20 SN reads QC failed: 0 | |
21 SN non-primary alignments: 0 | |
22 SN total length: 50200 # ignores clipping | |
23 SN bases mapped: 6275 # ignores clipping | |
24 SN bases mapped (cigar): 6275 # more accurate | |
25 SN bases trimmed: 0 | |
26 SN bases duplicated: 0 | |
27 SN mismatches: 591 # from NM fields | |
28 SN error rate: 9.418327e-02 # mismatches / bases mapped (cigar) | |
29 SN average length: 251 | |
30 SN maximum length: 251 | |
31 SN average quality: 34.7 | |
32 SN insert size average: 0.0 | |
33 SN insert size standard deviation: 0.0 | |
34 SN inward oriented pairs: 0 | |
35 SN outward oriented pairs: 0 | |
36 SN pairs with other orientation: 0 | |
37 SN pairs on different chromosomes: 0 | |
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. | |
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 | |
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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 | |
76 FFQ 37 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 1 3 0 6 23 65 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 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 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 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 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 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 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 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 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 | |
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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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97 FFQ 58 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 1 0 0 0 0 0 0 4 6 17 69 2 0 | |
98 FFQ 59 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 4 2 22 65 1 0 | |
99 FFQ 60 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 3 6 19 64 1 0 | |
100 FFQ 61 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 4 6 28 61 0 0 | |
101 FFQ 62 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 1 0 0 3 4 6 23 59 2 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 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 | |
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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 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 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 | |
108 FFQ 69 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 8 19 63 0 0 | |
109 FFQ 70 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 7 4 25 58 0 0 | |
110 FFQ 71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 4 9 28 55 0 0 | |
111 FFQ 72 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 1 0 0 0 1 0 2 2 0 0 6 7 24 54 0 0 | |
112 FFQ 73 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 1 2 0 5 8 25 57 0 0 | |
113 FFQ 74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 2 0 1 1 4 10 24 52 0 0 | |
114 FFQ 75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 1 9 11 21 52 0 0 | |
115 FFQ 76 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 0 0 1 4 1 0 3 1 0 7 6 22 52 0 0 | |
116 FFQ 77 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 2 2 0 1 10 12 23 47 0 0 | |
117 FFQ 78 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 5 8 37 44 0 0 | |
118 FFQ 79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 3 10 27 56 0 0 | |
119 FFQ 80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 3 12 30 48 0 0 | |
120 FFQ 81 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 7 7 33 46 0 0 | |
121 FFQ 82 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 1 0 1 1 3 0 7 7 22 56 0 0 | |
122 FFQ 83 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 5 2 3 8 25 52 0 0 | |
123 FFQ 84 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 3 1 0 4 11 32 45 0 0 | |
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125 FFQ 86 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 1 0 0 0 0 0 0 1 1 4 5 12 28 46 0 0 | |
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128 FFQ 89 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0 1 0 3 11 34 46 0 0 | |
129 FFQ 90 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 1 4 11 31 47 0 0 | |
130 FFQ 91 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 2 0 1 0 2 6 32 53 0 0 | |
131 FFQ 92 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 3 10 23 60 0 0 | |
132 FFQ 93 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 1 0 4 10 32 50 0 0 | |
133 FFQ 94 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 0 0 3 0 0 0 5 7 29 54 0 0 | |
134 FFQ 95 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 3 8 26 56 0 0 | |
135 FFQ 96 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 1 0 1 2 0 4 8 21 61 0 0 | |
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137 FFQ 98 0 0 1 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 0 0 1 0 0 1 1 0 5 10 21 57 0 0 | |
138 FFQ 99 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 1 4 6 33 48 0 0 | |
139 FFQ 100 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 1 2 0 2 2 0 3 5 23 56 0 0 | |
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145 FFQ 106 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 2 1 0 0 3 5 4 9 23 52 0 0 | |
146 FFQ 107 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 1 5 9 33 43 0 0 | |
147 FFQ 108 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 3 3 13 23 51 0 0 | |
148 FFQ 109 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 1 0 0 2 0 0 0 2 1 6 12 39 35 0 0 | |
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185 FFQ 146 0 0 0 0 0 0 0 0 0 0 0 0 2 2 1 1 3 0 0 0 0 0 0 0 0 0 1 3 0 0 3 1 6 1 4 2 2 16 31 21 0 0 | |
186 FFQ 147 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 2 0 4 2 6 5 5 16 29 27 0 0 | |
187 FFQ 148 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 0 0 0 0 0 1 1 4 5 1 1 3 22 30 28 0 0 | |
188 FFQ 149 0 0 0 0 0 0 0 0 0 0 0 0 2 0 3 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 2 3 4 3 24 36 18 0 0 | |
189 FFQ 150 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 1 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 1 4 3 4 25 30 24 0 0 | |
190 FFQ 151 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 1 0 5 4 4 22 27 29 0 0 | |
191 FFQ 152 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 1 0 0 0 0 0 0 0 1 0 2 2 0 0 2 0 2 5 2 6 5 22 25 20 0 0 | |
192 FFQ 153 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 4 0 0 0 0 0 0 0 0 1 0 0 3 1 1 1 1 4 2 4 3 3 32 24 14 0 0 | |
193 FFQ 154 0 0 0 0 0 0 0 0 0 0 0 0 2 1 1 1 0 0 0 0 0 0 0 0 0 0 2 2 0 1 0 0 5 4 3 8 6 23 21 20 0 0 | |
194 FFQ 155 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 0 1 0 0 0 0 0 0 0 1 0 1 0 1 0 2 1 1 1 3 7 5 28 26 17 0 0 | |
195 FFQ 156 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 5 3 5 3 31 20 24 0 0 | |
196 FFQ 157 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 2 1 5 3 2 2 31 20 28 0 0 | |
197 FFQ 158 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 2 1 0 0 0 0 0 0 0 2 0 0 2 1 0 1 0 1 3 4 5 4 34 7 30 0 0 | |
198 FFQ 159 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 2 0 1 0 0 0 0 0 0 0 2 0 0 0 1 0 0 4 1 4 8 3 42 15 14 0 0 | |
199 FFQ 160 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 2 0 1 0 2 5 1 3 2 7 4 1 37 17 14 0 0 | |
200 FFQ 161 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 1 1 0 0 0 0 0 0 0 1 0 2 2 1 0 2 1 1 3 11 3 2 34 14 18 0 0 | |
201 FFQ 162 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 1 0 0 0 0 0 0 0 0 1 3 1 0 0 0 3 3 4 9 4 6 36 12 14 0 0 | |
202 FFQ 163 0 0 0 0 0 0 0 0 0 0 0 0 2 1 4 0 0 0 0 0 0 0 0 0 0 1 2 1 0 0 1 1 3 1 6 5 3 38 17 14 0 0 | |
203 FFQ 164 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 1 0 1 2 0 0 1 1 3 1 9 5 4 39 16 13 0 0 | |
204 FFQ 165 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 2 5 0 6 8 2 39 15 15 0 0 | |
205 FFQ 166 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 3 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 3 3 3 0 6 43 13 22 0 0 | |
206 FFQ 167 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 3 1 0 0 0 0 0 0 0 0 3 2 0 0 0 2 0 0 4 5 3 10 36 13 16 0 0 | |
207 FFQ 168 0 0 0 0 0 0 0 0 0 0 0 0 3 1 1 1 0 0 0 0 0 0 0 0 0 2 1 1 0 1 2 1 3 3 10 2 4 37 11 16 0 0 | |
208 FFQ 169 0 0 0 0 0 0 0 0 0 0 0 0 6 6 3 1 1 0 0 0 0 0 0 0 0 4 3 0 1 0 2 3 3 4 3 0 2 35 9 14 0 0 | |
209 FFQ 170 0 0 0 0 0 0 0 0 0 0 0 0 2 6 1 0 0 0 0 0 0 0 0 0 0 5 5 0 0 2 1 2 2 6 5 3 3 39 8 10 0 0 | |
210 FFQ 171 0 0 0 0 0 0 0 0 0 0 0 0 2 2 1 0 0 0 0 0 0 0 0 0 0 3 2 0 0 0 3 3 2 5 8 5 7 36 10 11 0 0 | |
211 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 | |
212 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 | |
213 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 | |
214 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 | |
215 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 | |
216 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 | |
217 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 | |
218 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 | |
219 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 | |
220 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 | |
221 FFQ 182 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 1 0 0 0 0 0 0 0 0 5 1 2 0 0 0 2 1 2 5 4 2 3 46 19 3 0 0 | |
222 FFQ 183 0 0 0 0 0 0 0 0 0 0 0 0 4 1 0 3 0 0 0 0 0 0 0 0 1 0 0 1 0 2 1 0 1 8 6 4 7 43 14 4 0 0 | |
223 FFQ 184 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 4 0 0 0 0 0 0 0 0 2 1 1 0 1 0 0 3 3 4 6 3 5 55 8 2 0 0 | |
224 FFQ 185 0 0 0 0 0 0 0 0 0 0 0 0 3 2 1 3 0 0 0 0 0 0 0 0 0 1 2 0 1 1 1 1 2 7 2 4 8 47 9 5 0 0 | |
225 FFQ 186 0 0 0 0 0 0 0 0 0 0 0 0 1 1 4 6 0 0 0 0 0 0 0 0 2 0 5 0 0 0 1 1 3 11 5 5 4 37 11 3 0 0 | |
226 FFQ 187 0 0 0 0 0 0 0 0 0 0 0 0 4 1 3 3 0 0 0 0 0 0 0 0 5 1 1 0 2 0 1 1 6 10 3 2 3 41 10 3 0 0 | |
227 FFQ 188 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 3 0 0 0 0 0 0 0 0 2 4 7 0 1 0 3 2 7 7 6 3 4 34 9 2 0 0 | |
228 FFQ 189 0 0 0 0 0 0 0 0 0 0 0 0 3 4 3 4 0 0 0 0 0 0 0 0 4 0 5 2 0 0 5 0 6 8 3 8 8 30 6 1 0 0 | |
229 FFQ 190 0 0 0 0 0 0 0 0 0 0 0 0 5 5 3 6 0 0 0 0 0 0 0 0 2 1 3 0 1 0 2 2 7 11 1 8 3 34 6 0 0 0 | |
230 FFQ 191 0 0 0 0 0 0 0 0 0 0 0 0 5 7 2 4 0 0 0 0 0 0 0 0 3 0 3 0 0 0 1 0 4 5 9 6 12 33 6 0 0 0 | |
231 FFQ 192 0 0 0 0 0 0 0 0 0 0 0 0 3 3 2 6 0 0 0 0 0 0 0 0 3 3 6 0 1 0 0 1 5 9 4 4 5 38 7 0 0 0 | |
232 FFQ 193 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 7 0 0 0 0 0 0 0 0 4 3 3 0 0 0 0 0 5 10 4 2 11 43 4 0 0 0 | |
233 FFQ 194 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 6 0 0 0 0 0 0 0 0 5 1 8 0 1 0 1 0 4 8 2 7 3 43 8 0 0 0 | |
234 FFQ 195 0 0 0 0 0 0 0 0 0 0 0 0 4 1 2 8 0 0 0 0 0 0 0 0 0 0 4 0 1 0 3 0 2 13 1 4 8 39 10 0 0 0 | |
235 FFQ 196 0 0 0 0 0 0 0 0 0 0 0 0 1 6 1 3 0 0 0 0 0 0 0 0 1 1 3 0 2 0 1 1 4 11 2 1 9 43 10 0 0 0 | |
236 FFQ 197 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 10 0 0 0 0 0 0 0 0 3 0 1 0 0 0 2 1 6 10 2 0 4 47 10 0 0 0 | |
237 FFQ 198 0 0 0 0 0 0 0 0 0 0 0 0 2 4 4 7 0 0 0 0 0 0 0 0 1 0 5 1 2 1 0 0 1 7 4 2 4 47 8 0 0 0 | |
238 FFQ 199 0 0 0 0 0 0 0 0 0 0 0 0 1 4 5 6 0 0 0 0 0 0 0 0 3 2 7 0 0 0 1 0 3 7 3 3 7 39 9 0 0 0 | |
239 FFQ 200 0 0 0 0 0 0 0 0 0 0 0 0 0 5 2 8 0 0 0 0 0 0 0 0 5 1 1 0 1 0 2 0 5 12 5 5 3 40 5 0 0 0 | |
240 FFQ 201 0 0 0 0 0 0 0 0 0 0 0 0 2 1 6 7 0 0 0 0 0 0 0 0 5 0 4 0 0 0 1 1 7 8 1 0 4 47 6 0 0 0 | |
241 FFQ 202 0 0 0 0 0 0 0 0 0 0 0 0 6 7 3 8 0 0 0 0 0 0 0 0 3 3 1 0 0 0 1 0 4 12 2 3 2 34 11 0 0 0 | |
242 FFQ 203 0 0 0 0 0 0 0 0 0 0 0 0 8 5 2 5 0 0 0 0 0 0 0 0 2 0 4 0 1 0 1 1 4 9 7 2 2 37 10 0 0 0 | |
243 FFQ 204 0 0 0 0 0 0 0 0 0 0 0 0 2 5 1 6 0 0 0 0 0 0 0 0 4 3 5 0 0 0 0 0 5 11 3 3 5 41 6 0 0 0 | |
244 FFQ 205 0 0 0 0 0 0 0 0 0 0 0 0 5 11 1 5 0 0 0 0 0 0 0 0 3 0 3 0 0 0 2 0 4 18 2 4 4 33 5 0 0 0 | |
245 FFQ 206 0 0 0 0 0 0 0 0 0 0 0 0 3 7 2 5 0 0 0 0 0 0 0 0 4 5 7 0 0 0 0 0 2 13 0 3 4 37 8 0 0 0 | |
246 FFQ 207 0 0 0 0 0 0 0 0 0 0 0 0 1 6 5 6 0 0 0 0 0 0 0 0 4 2 4 0 2 0 4 1 3 10 4 2 3 36 7 0 0 0 | |
247 FFQ 208 0 0 0 0 0 0 0 0 0 0 0 0 1 4 3 4 0 0 0 0 0 0 0 0 6 4 4 0 0 0 1 0 9 11 2 5 3 36 7 0 0 0 | |
248 FFQ 209 0 0 0 0 0 0 0 0 0 0 0 0 2 7 4 8 0 0 0 0 0 0 0 0 3 2 4 0 0 0 3 0 8 14 2 1 2 33 7 0 0 0 | |
249 FFQ 210 0 0 0 0 0 0 0 0 0 0 0 0 1 5 6 7 0 0 0 0 0 0 0 0 4 3 3 0 0 0 3 0 6 6 0 3 5 43 5 0 0 0 | |
250 FFQ 211 0 0 0 0 0 0 0 0 0 0 0 0 2 5 6 4 0 0 0 0 0 0 0 0 6 3 5 0 0 0 0 2 5 11 4 3 3 35 6 0 0 0 | |
251 FFQ 212 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 7 0 0 0 0 0 0 0 0 3 4 8 0 0 0 0 0 5 17 1 1 4 35 6 0 0 0 | |
252 FFQ 213 0 0 0 0 0 0 0 0 0 0 0 0 6 6 10 5 0 0 0 0 0 0 0 0 5 3 1 0 0 0 0 1 4 7 1 5 2 43 1 0 0 0 | |
253 FFQ 214 0 0 0 0 0 0 0 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 | |
254 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 | |
255 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 | |
256 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 | |
257 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 | |
258 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 | |
259 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 | |
260 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 | |
261 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 | |
262 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 | |
263 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 1 42 0 0 0 0 | |
264 FFQ 225 0 0 0 0 0 0 0 0 0 0 0 0 4 8 2 4 0 0 0 0 0 0 0 0 7 3 10 0 2 0 0 0 3 10 1 2 5 39 0 0 0 0 | |
265 FFQ 226 0 0 0 0 0 0 0 0 0 0 0 0 5 9 3 7 0 0 0 0 0 0 0 0 8 5 5 0 1 0 2 1 3 13 0 2 3 33 0 0 0 0 | |
266 FFQ 227 0 0 0 0 0 0 0 0 0 0 0 0 10 8 4 5 0 0 0 0 0 0 0 0 3 2 3 0 0 0 2 3 5 17 0 3 2 33 0 0 0 0 | |
267 FFQ 228 0 0 0 0 0 0 0 0 0 0 0 0 10 8 6 2 0 0 0 0 0 0 0 0 6 1 6 0 1 2 1 1 4 13 1 2 1 35 0 0 0 0 | |
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 | |
292 # Last Fragment Qualitites. Use `grep ^LFQ | cut -f 2-` to extract this part. | |
293 # Columns correspond to qualities and rows to cycles. First column is the cycle number. | |
294 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 | |
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 | |
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 | |
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 | |
298 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 | |
299 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 | |
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 | |
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 | |
302 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 | |
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 | |
304 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 16 6 0 70 0 0 0 0 | |
305 LFQ 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 | |
306 LFQ 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 | |
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 | |
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 | |
309 LFQ 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 | |
310 LFQ 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 | |
311 LFQ 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 | |
312 LFQ 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 | |
313 LFQ 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 | |
314 LFQ 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 | |
315 LFQ 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 | |
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 | |
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 | |
318 LFQ 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 | |
319 LFQ 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 | |
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 | |
321 LFQ 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 | |
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 | |
323 LFQ 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 | |
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 | |
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 | |
326 LFQ 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 | |
327 LFQ 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 | |
328 LFQ 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 | |
329 LFQ 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 | |
330 LFQ 37 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 1 3 0 6 23 65 0 0 | |
331 LFQ 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 | |
332 LFQ 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 | |
333 LFQ 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 | |
334 LFQ 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 | |
335 LFQ 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 | |
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 | |
337 LFQ 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 | |
338 LFQ 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 | |
339 LFQ 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 | |
340 LFQ 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 | |
341 LFQ 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 | |
342 LFQ 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 | |
343 LFQ 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 | |
344 LFQ 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 | |
345 LFQ 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 | |
346 LFQ 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 | |
347 LFQ 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 | |
348 LFQ 55 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 8 18 68 0 0 | |
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508 LFQ 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 | |
509 LFQ 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 | |
510 LFQ 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 | |
511 LFQ 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 | |
512 LFQ 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 | |
513 LFQ 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 | |
514 LFQ 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 | |
515 LFQ 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 | |
516 LFQ 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 | |
517 LFQ 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 1 42 0 0 0 0 | |
518 LFQ 225 0 0 0 0 0 0 0 0 0 0 0 0 4 8 2 4 0 0 0 0 0 0 0 0 7 3 10 0 2 0 0 0 3 10 1 2 5 39 0 0 0 0 | |
519 LFQ 226 0 0 0 0 0 0 0 0 0 0 0 0 5 9 3 7 0 0 0 0 0 0 0 0 8 5 5 0 1 0 2 1 3 13 0 2 3 33 0 0 0 0 | |
520 LFQ 227 0 0 0 0 0 0 0 0 0 0 0 0 10 8 4 5 0 0 0 0 0 0 0 0 3 2 3 0 0 0 2 3 5 17 0 3 2 33 0 0 0 0 | |
521 LFQ 228 0 0 0 0 0 0 0 0 0 0 0 0 10 8 6 2 0 0 0 0 0 0 0 0 6 1 6 0 1 2 1 1 4 13 1 2 1 35 0 0 0 0 | |
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 | |
801 # GC Content of first fragments. Use `grep ^GCF | cut -f 2-` to extract this part. | |
802 GCF 21.86 0 | |
803 GCF 44.22 2 | |
804 GCF 44.97 8 | |
805 GCF 45.48 4 | |
806 GCF 45.98 3 | |
807 GCF 46.48 5 | |
808 GCF 46.98 2 | |
809 GCF 47.49 3 | |
810 GCF 47.99 12 | |
811 GCF 48.49 13 | |
812 GCF 48.99 9 | |
813 GCF 49.50 2 | |
814 GCF 50.25 3 | |
815 GCF 51.01 6 | |
816 GCF 51.51 4 | |
817 GCF 52.01 1 | |
818 GCF 52.51 0 | |
819 GCF 53.02 1 | |
820 # GC Content of last fragments. Use `grep ^GCL | cut -f 2-` to extract this part. | |
821 GCL 21.86 0 | |
822 GCL 44.22 2 | |
823 GCL 44.97 8 | |
824 GCL 45.48 4 | |
825 GCL 45.98 3 | |
826 GCL 46.48 5 | |
827 GCL 46.98 2 | |
828 GCL 47.49 3 | |
829 GCL 47.99 12 | |
830 GCL 48.49 13 | |
831 GCL 48.99 9 | |
832 GCL 49.50 2 | |
833 GCL 50.25 3 | |
834 GCL 51.01 6 | |
835 GCL 51.51 4 | |
836 GCL 52.01 1 | |
837 GCL 52.51 0 | |
838 GCL 53.02 1 | |
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 [%] | |
840 GCC 1 21.50 29.50 33.50 15.50 | |
841 GCC 2 30.00 16.00 11.00 43.00 | |
842 GCC 3 33.00 25.00 9.00 33.00 | |
843 GCC 4 17.00 29.00 13.00 41.00 | |
844 GCC 5 37.00 22.00 12.00 29.00 | |
845 GCC 6 36.00 26.00 17.00 21.00 | |
846 GCC 7 29.50 13.50 31.50 25.50 | |
847 GCC 8 50.50 14.50 19.50 15.50 | |
848 GCC 9 17.00 33.00 18.00 32.00 | |
849 GCC 10 37.00 14.00 21.00 28.00 | |
850 GCC 11 20.50 14.50 29.50 35.50 | |
851 GCC 12 30.00 24.00 22.00 24.00 | |
852 GCC 13 27.00 15.00 21.00 37.00 | |
853 GCC 14 24.00 22.00 26.00 28.00 | |
854 GCC 15 25.50 20.50 24.50 29.50 | |
855 GCC 16 31.00 15.00 20.00 34.00 | |
856 GCC 17 28.00 25.00 14.00 33.00 | |
857 GCC 18 30.50 28.50 19.50 21.50 | |
858 GCC 19 29.00 26.00 21.00 24.00 | |
859 GCC 20 22.50 23.50 17.50 36.50 | |
860 GCC 21 35.50 17.50 19.50 27.50 | |
861 GCC 22 37.50 28.50 15.50 18.50 | |
862 GCC 23 31.00 19.00 13.00 37.00 | |
863 GCC 24 37.00 12.00 22.00 29.00 | |
864 GCC 25 35.50 22.50 17.50 24.50 | |
865 GCC 26 33.50 18.50 15.50 32.50 | |
866 GCC 27 34.50 14.50 25.50 25.50 | |
867 GCC 28 31.00 14.00 24.00 31.00 | |
868 GCC 29 30.00 27.00 24.00 19.00 | |
869 GCC 30 31.00 20.00 14.00 35.00 | |
870 GCC 31 33.50 29.50 13.50 23.50 | |
871 GCC 32 42.50 20.50 19.50 17.50 | |
872 GCC 33 25.50 23.50 14.50 36.50 | |
873 GCC 34 39.50 16.50 20.50 23.50 | |
874 GCC 35 32.50 23.50 21.50 22.50 | |
875 GCC 36 42.00 25.00 16.00 17.00 | |
876 GCC 37 38.00 17.00 19.00 26.00 | |
877 GCC 38 24.00 26.00 25.00 25.00 | |
878 GCC 39 22.50 41.50 18.50 17.50 | |
879 GCC 40 32.00 16.00 21.00 31.00 | |
880 GCC 41 33.00 28.00 19.00 20.00 | |
881 GCC 42 30.50 25.50 19.50 24.50 | |
882 GCC 43 35.00 29.00 15.00 21.00 | |
883 GCC 44 20.00 27.00 22.00 31.00 | |
884 GCC 45 40.50 21.50 21.50 16.50 | |
885 GCC 46 26.50 20.50 22.50 30.50 | |
886 GCC 47 38.50 29.50 16.50 15.50 | |
887 GCC 48 27.50 24.50 17.50 30.50 | |
888 GCC 49 28.50 32.50 10.50 28.50 | |
889 GCC 50 46.50 20.50 9.50 23.50 | |
890 GCC 51 34.50 28.50 13.50 23.50 | |
891 GCC 52 41.50 23.50 20.50 14.50 | |
892 GCC 53 20.00 28.00 26.00 26.00 | |
893 GCC 54 31.50 18.50 24.50 25.50 | |
894 GCC 55 30.50 22.50 16.50 30.50 | |
895 GCC 56 33.50 22.50 13.50 30.50 | |
896 GCC 57 23.00 24.00 23.00 30.00 | |
897 GCC 58 25.00 37.00 19.00 19.00 | |
898 GCC 59 34.00 23.00 24.00 19.00 | |
899 GCC 60 29.00 28.00 17.00 26.00 | |
900 GCC 61 25.50 23.50 24.50 26.50 | |
901 GCC 62 31.50 22.50 16.50 29.50 | |
902 GCC 63 27.50 28.50 25.50 18.50 | |
903 GCC 64 33.50 21.50 25.50 19.50 | |
904 GCC 65 35.50 19.50 18.50 26.50 | |
905 GCC 66 34.00 25.00 15.00 26.00 | |
906 GCC 67 37.00 23.00 19.00 21.00 | |
907 GCC 68 36.50 29.50 13.50 20.50 | |
908 GCC 69 38.50 19.50 20.50 21.50 | |
909 GCC 70 38.50 16.50 18.50 26.50 | |
910 GCC 71 25.50 38.50 21.50 14.50 | |
911 GCC 72 29.00 29.00 25.00 17.00 | |
912 GCC 73 32.50 20.50 21.50 25.50 | |
913 GCC 74 28.50 32.50 12.50 26.50 | |
914 GCC 75 41.50 12.50 18.50 27.50 | |
915 GCC 76 24.50 29.50 23.50 22.50 | |
916 GCC 77 36.00 21.00 18.00 25.00 | |
917 GCC 78 27.00 34.00 22.00 17.00 | |
918 GCC 79 21.50 26.50 25.50 26.50 | |
919 GCC 80 34.00 19.00 28.00 19.00 | |
920 GCC 81 17.00 26.00 26.00 31.00 | |
921 GCC 82 31.00 30.00 23.00 16.00 | |
922 GCC 83 31.50 26.50 12.50 29.50 | |
923 GCC 84 19.00 41.00 21.00 19.00 | |
924 GCC 85 37.50 24.50 16.50 21.50 | |
925 GCC 86 15.00 48.00 15.00 22.00 | |
926 GCC 87 41.00 16.00 18.00 25.00 | |
927 GCC 88 23.50 27.50 27.50 21.50 | |
928 GCC 89 26.50 27.50 26.50 19.50 | |
929 GCC 90 18.50 23.50 24.50 33.50 | |
930 GCC 91 27.00 32.00 22.00 19.00 | |
931 GCC 92 23.50 17.50 27.50 31.50 | |
932 GCC 93 25.50 37.50 15.50 21.50 | |
933 GCC 94 27.00 17.00 24.00 32.00 | |
934 GCC 95 26.50 37.50 14.50 21.50 | |
935 GCC 96 29.50 25.50 16.50 28.50 | |
936 GCC 97 29.00 31.00 21.00 19.00 | |
937 GCC 98 18.00 33.00 22.00 27.00 | |
938 GCC 99 24.50 33.50 24.50 17.50 | |
939 GCC 100 24.50 16.50 24.50 34.50 | |
940 GCC 101 25.00 40.00 19.00 16.00 | |
941 GCC 102 17.50 17.50 32.50 32.50 | |
942 GCC 103 31.00 26.00 16.00 27.00 | |
943 GCC 104 26.50 29.50 20.50 23.50 | |
944 GCC 105 34.00 33.00 21.00 12.00 | |
945 GCC 106 23.00 31.00 26.00 20.00 | |
946 GCC 107 17.50 35.50 23.50 23.50 | |
947 GCC 108 24.50 30.50 23.50 21.50 | |
948 GCC 109 17.00 31.00 22.00 30.00 | |
949 GCC 110 16.00 35.00 24.00 25.00 | |
950 GCC 111 24.00 32.00 23.00 21.00 | |
951 GCC 112 37.00 28.00 16.00 19.00 | |
952 GCC 113 19.50 22.50 32.50 25.50 | |
953 GCC 114 17.00 31.00 35.00 17.00 | |
954 GCC 115 29.50 24.50 23.50 22.50 | |
955 GCC 116 22.00 30.00 34.00 14.00 | |
956 GCC 117 27.00 23.00 19.00 31.00 | |
957 GCC 118 25.50 14.50 34.50 25.50 | |
958 GCC 119 22.50 34.50 20.50 22.50 | |
959 GCC 120 17.50 24.50 26.50 31.50 | |
960 GCC 121 27.50 33.50 22.50 16.50 | |
961 GCC 122 17.00 23.00 25.00 35.00 | |
962 GCC 123 23.50 46.50 11.50 18.50 | |
963 GCC 124 9.00 32.00 34.00 25.00 | |
964 GCC 125 24.00 27.00 19.00 30.00 | |
965 GCC 126 26.00 17.00 28.00 29.00 | |
966 GCC 127 26.50 16.50 21.50 35.50 | |
967 GCC 128 18.00 34.00 31.00 17.00 | |
968 GCC 129 25.50 25.50 27.50 21.50 | |
969 GCC 130 25.00 20.00 22.00 33.00 | |
970 GCC 131 17.50 39.50 24.50 18.50 | |
971 GCC 132 21.00 28.00 23.00 28.00 | |
972 GCC 133 13.50 31.50 35.50 19.50 | |
973 GCC 134 24.50 19.50 30.50 25.50 | |
974 GCC 135 16.50 23.50 30.50 29.50 | |
975 GCC 136 28.00 32.00 15.00 25.00 | |
976 GCC 137 22.50 21.50 30.50 25.50 | |
977 GCC 138 14.50 34.50 24.50 26.50 | |
978 GCC 139 20.50 29.50 24.50 25.50 | |
979 GCC 140 17.00 23.00 30.00 30.00 | |
980 GCC 141 20.50 23.50 25.50 30.50 | |
981 GCC 142 18.00 29.00 38.00 15.00 | |
982 GCC 143 22.00 24.00 27.00 27.00 | |
983 GCC 144 21.50 30.50 26.50 21.50 | |
984 GCC 145 22.00 21.00 29.00 28.00 | |
985 GCC 146 25.00 16.00 39.00 20.00 | |
986 GCC 147 26.50 22.50 30.50 20.50 | |
987 GCC 148 12.50 28.50 36.50 22.50 | |
988 GCC 149 26.50 23.50 23.50 26.50 | |
989 GCC 150 14.00 29.00 24.00 33.00 | |
990 GCC 151 19.50 30.50 32.50 17.50 | |
991 GCC 152 18.50 17.50 29.50 34.50 | |
992 GCC 153 22.50 22.50 31.50 23.50 | |
993 GCC 154 22.00 21.00 29.00 28.00 | |
994 GCC 155 21.00 26.00 19.00 34.00 | |
995 GCC 156 14.50 23.50 35.50 26.50 | |
996 GCC 157 22.00 31.00 23.00 24.00 | |
997 GCC 158 22.50 29.50 24.50 23.50 | |
998 GCC 159 17.50 12.50 46.50 23.50 | |
999 GCC 160 24.50 26.50 26.50 22.50 | |
1000 GCC 161 13.00 23.00 45.00 19.00 | |
1001 GCC 162 31.50 16.50 22.50 29.50 | |
1002 GCC 163 19.50 21.50 35.50 23.50 | |
1003 GCC 164 29.00 18.00 21.00 32.00 | |
1004 GCC 165 14.50 17.50 35.50 32.50 | |
1005 GCC 166 17.50 37.50 28.50 16.50 | |
1006 GCC 167 16.50 21.50 31.50 30.50 | |
1007 GCC 168 14.00 25.00 30.00 31.00 | |
1008 GCC 169 18.50 20.50 23.50 37.50 | |
1009 GCC 170 19.00 23.00 28.00 30.00 | |
1010 GCC 171 20.00 28.00 33.00 19.00 | |
1011 GCC 172 19.00 20.00 32.00 29.00 | |
1012 GCC 173 24.50 16.50 33.50 25.50 | |
1013 GCC 174 17.50 23.50 33.50 25.50 | |
1014 GCC 175 33.50 17.50 35.50 13.50 | |
1015 GCC 176 16.50 32.50 28.50 22.50 | |
1016 GCC 177 19.00 22.00 27.00 32.00 | |
1017 GCC 178 16.00 26.00 30.00 28.00 | |
1018 GCC 179 18.00 18.00 22.00 42.00 | |
1019 GCC 180 21.00 22.00 34.00 23.00 | |
1020 GCC 181 20.50 19.50 35.50 24.50 | |
1021 GCC 182 32.50 18.50 22.50 26.50 | |
1022 GCC 183 24.50 13.50 28.50 33.50 | |
1023 GCC 184 15.00 29.00 30.00 26.00 | |
1024 GCC 185 15.00 32.00 33.00 20.00 | |
1025 GCC 186 22.50 23.50 34.50 19.50 | |
1026 GCC 187 19.00 14.00 40.00 27.00 | |
1027 GCC 188 27.50 21.50 27.50 23.50 | |
1028 GCC 189 17.00 22.00 34.00 27.00 | |
1029 GCC 190 23.00 30.00 23.00 24.00 | |
1030 GCC 191 25.00 22.00 28.00 25.00 | |
1031 GCC 192 34.50 24.50 13.50 27.50 | |
1032 GCC 193 18.50 25.50 25.50 30.50 | |
1033 GCC 194 18.50 33.50 24.50 23.50 | |
1034 GCC 195 16.00 26.00 23.00 35.00 | |
1035 GCC 196 21.50 25.50 24.50 28.50 | |
1036 GCC 197 20.00 21.00 23.00 36.00 | |
1037 GCC 198 17.00 21.00 37.00 25.00 | |
1038 GCC 199 20.50 18.50 25.50 35.50 | |
1039 GCC 200 21.00 29.00 21.00 29.00 | |
1040 GCC 201 27.00 21.00 23.00 29.00 | |
1041 GCC 202 21.50 24.50 19.50 34.50 | |
1042 GCC 203 21.50 24.50 26.50 27.50 | |
1043 GCC 204 27.00 29.00 24.00 20.00 | |
1044 GCC 205 19.50 21.50 22.50 36.50 | |
1045 GCC 206 26.50 24.50 21.50 27.50 | |
1046 GCC 207 22.50 21.50 19.50 36.50 | |
1047 GCC 208 14.00 35.00 29.00 22.00 | |
1048 GCC 209 16.00 23.00 12.00 49.00 | |
1049 GCC 210 18.50 19.50 40.50 21.50 | |
1050 GCC 211 26.00 20.00 22.00 32.00 | |
1051 GCC 212 21.00 31.00 18.00 30.00 | |
1052 GCC 213 24.00 15.00 31.00 30.00 | |
1053 GCC 214 17.50 24.50 25.50 32.50 | |
1054 GCC 215 26.00 24.00 23.00 27.00 | |
1055 GCC 216 21.50 17.50 25.50 35.50 | |
1056 GCC 217 26.00 29.00 17.00 28.00 | |
1057 GCC 218 20.00 27.00 21.00 32.00 | |
1058 GCC 219 17.00 21.00 21.00 41.00 | |
1059 GCC 220 25.50 23.50 23.50 27.50 | |
1060 GCC 221 21.50 23.50 20.50 34.50 | |
1061 GCC 222 21.50 21.50 18.50 38.50 | |
1062 GCC 223 20.00 27.00 28.00 25.00 | |
1063 GCC 224 22.50 22.50 24.50 30.50 | |
1064 GCC 225 14.50 35.50 30.50 19.50 | |
1065 GCC 226 20.00 23.00 26.00 31.00 | |
1066 GCC 227 20.50 24.50 23.50 31.50 | |
1067 GCC 228 33.00 19.00 26.00 22.00 | |
1068 GCC 229 22.50 24.50 18.50 34.50 | |
1069 GCC 230 21.00 32.00 16.00 31.00 | |
1070 GCC 231 23.00 28.00 30.00 19.00 | |
1071 GCC 232 23.50 21.50 12.50 42.50 | |
1072 GCC 233 21.00 27.00 25.00 27.00 | |
1073 GCC 234 16.50 27.50 22.50 33.50 | |
1074 GCC 235 20.00 15.00 28.00 37.00 | |
1075 GCC 236 28.00 23.00 21.00 28.00 | |
1076 GCC 237 20.50 19.50 22.50 37.50 | |
1077 GCC 238 21.50 29.50 24.50 24.50 | |
1078 GCC 239 20.00 8.00 17.00 55.00 | |
1079 GCC 240 28.00 24.00 16.00 32.00 | |
1080 GCC 241 22.50 22.50 16.50 38.50 | |
1081 GCC 242 29.00 25.00 13.00 33.00 | |
1082 GCC 243 22.50 15.50 23.50 38.50 | |
1083 GCC 244 20.50 23.50 16.50 39.50 | |
1084 GCC 245 28.00 23.00 19.00 30.00 | |
1085 GCC 246 21.00 29.00 25.00 25.00 | |
1086 GCC 247 32.00 14.00 13.00 41.00 | |
1087 GCC 248 18.00 18.00 25.00 39.00 | |
1088 GCC 249 25.00 23.00 21.00 31.00 | |
1089 GCC 250 27.50 22.50 17.50 32.50 | |
1090 GCC 251 13.50 20.50 36.50 29.50 | |
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 | |
1092 # Read lengths. Use `grep ^RL | cut -f 2-` to extract this part. The columns are: read length, count | |
1093 RL 251 200 | |
1094 # Indel distribution. Use `grep ^ID | cut -f 2-` to extract this part. The columns are: length, number of insertions, number of deletions | |
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 | |
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) | |
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 | |
1130 # Coverage distribution. Use `grep ^COV | cut -f 2-` to extract this part. | |
1131 COV [1-1] 1 1 | |
1132 COV [7-7] 7 1 | |
1133 COV [18-18] 18 1 | |
1134 COV [24-24] 24 1 | |
1135 COV [25-25] 25 249 | |
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 | |
1137 GCD 0.0 100.000 0.000 0.000 0.000 0.000 0.000 |