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comparison test-data/samtools_stats_out2.tab @ 1:cc56fc603e53 draft

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planemo upload commit 33927a87ba2eee9bf0ecdd376a66241b17b3d734
author devteam
date Tue, 13 Oct 2015 12:56:27 -0400
parents cd6eb75c9819
children 45c568e7f1f9
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0:cd6eb75c9819 1:cc56fc603e53
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
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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
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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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381 LFQ 88 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 1 0 0 0 0 0 2 2 0 1 2 15 38 38 0 0
382 LFQ 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
383 LFQ 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
384 LFQ 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
385 LFQ 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
386 LFQ 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
387 LFQ 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
388 LFQ 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
389 LFQ 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
390 LFQ 97 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 1 0 0 5 0 2 6 5 23 56 0 0
391 LFQ 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
392 LFQ 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
393 LFQ 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
394 LFQ 101 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 6 9 36 44 0 0
395 LFQ 102 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 7 5 34 47 0 0
396 LFQ 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 1 0 0 0 0 0 0 1 0 2 1 1 3 8 35 48 0 0
397 LFQ 104 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 1 0 1 5 7 36 49 0 0
398 LFQ 105 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 5 9 32 48 0 0
399 LFQ 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
400 LFQ 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
401 LFQ 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
402 LFQ 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
403 LFQ 110 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 1 0 0 0 0 0 1 0 0 0 0 1 1 0 2 0 3 2 8 36 40 0 0
404 LFQ 111 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 1 3 3 1 2 3 8 30 44 0 0
405 LFQ 112 0 0 1 0 0 0 0 0 0 0 0 0 2 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 2 3 0 4 14 28 42 0 0
406 LFQ 113 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 1 0 3 0 2 1 5 10 31 43 0 0
407 LFQ 114 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 2 3 4 10 29 44 0 0
408 LFQ 115 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 2 1 0 3 4 3 7 9 37 32 0 0
409 LFQ 116 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 2 0 0 0 0 0 1 0 0 0 0 0 2 0 1 1 3 5 1 12 35 34 0 0
410 LFQ 117 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 1 3 1 1 1 1 1 2 9 34 42 0 0
411 LFQ 118 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 1 2 0 3 1 2 2 1 9 33 43 0 0
412 LFQ 119 0 0 0 0 0 0 0 0 0 0 0 0 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 1 2 3 13 38 36 0 0
413 LFQ 120 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 1 0 0 2 0 0 1 3 3 4 13 26 44 0 0
414 LFQ 121 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 2 0 0 1 0 0 0 0 0 1 1 3 3 7 26 53 0 0
415 LFQ 122 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 1 0 0 1 0 1 0 3 1 3 7 28 52 0 0
416 LFQ 123 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 1 0 0 2 0 0 1 5 4 4 12 18 50 0 0
417 LFQ 124 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 1 1 1 0 6 2 2 13 35 37 0 0
418 LFQ 125 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 2 0 0 3 0 1 0 4 2 3 14 34 34 0 0
419 LFQ 126 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 0 2 0 2 1 4 3 2 11 39 33 0 0
420 LFQ 127 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 1 0 0 0 0 2 1 2 2 2 9 35 43 0 0
421 LFQ 128 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0 0 0 2 0 0 1 0 0 2 0 0 1 8 1 1 8 36 37 0 0
422 LFQ 129 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 2 0 1 1 0 0 1 5 2 4 12 30 40 0 0
423 LFQ 130 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 1 2 1 2 1 3 13 23 47 0 0
424 LFQ 131 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 1 0 1 0 1 4 3 3 12 27 45 0 0
425 LFQ 132 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 4 5 14 25 44 0 0
426 LFQ 133 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 2 1 6 5 3 7 34 36 0 0
427 LFQ 134 0 0 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 3 1 4 8 2 10 32 34 0 0
428 LFQ 135 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 1 3 5 3 13 35 31 0 0
429 LFQ 136 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 1 2 2 4 2 3 6 2 15 35 25 0 0
430 LFQ 137 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 2 0 1 7 2 3 15 29 35 0 0
431 LFQ 138 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 2 2 3 5 9 33 35 0 0
432 LFQ 139 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 1 0 0 0 0 0 0 0 0 2 0 0 0 1 0 1 0 2 1 6 4 1 20 25 32 0 0
433 LFQ 140 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 1 2 1 0 0 1 0 1 0 3 3 3 20 32 30 0 0
434 LFQ 141 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 1 0 0 0 0 0 0 0 1 1 0 1 2 1 2 0 3 2 1 19 36 27 0 0
435 LFQ 142 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 4 2 5 3 4 23 34 17 0 0
436 LFQ 143 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1 1 1 0 0 0 0 0 0 0 0 1 1 0 1 2 1 2 3 8 2 3 21 25 25 0 0
437 LFQ 144 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 1 0 0 1 0 0 0 0 0 3 0 0 2 0 1 2 1 2 4 1 4 3 16 33 22 0 0
438 LFQ 145 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 2 5 3 4 4 4 16 21 32 0 0
439 LFQ 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
440 LFQ 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
441 LFQ 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
442 LFQ 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
443 LFQ 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
444 LFQ 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
445 LFQ 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
446 LFQ 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
447 LFQ 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
448 LFQ 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
449 LFQ 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
450 LFQ 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
451 LFQ 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
452 LFQ 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
453 LFQ 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
454 LFQ 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
455 LFQ 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
456 LFQ 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
457 LFQ 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
458 LFQ 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
459 LFQ 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
460 LFQ 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
461 LFQ 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
462 LFQ 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
463 LFQ 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
464 LFQ 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
465 LFQ 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
466 LFQ 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
467 LFQ 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
468 LFQ 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
469 LFQ 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
470 LFQ 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
471 LFQ 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
472 LFQ 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
473 LFQ 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
474 LFQ 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
475 LFQ 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
476 LFQ 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
477 LFQ 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
478 LFQ 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
479 LFQ 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
480 LFQ 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
481 LFQ 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
482 LFQ 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
483 LFQ 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
484 LFQ 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
485 LFQ 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
486 LFQ 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
487 LFQ 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
488 LFQ 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
489 LFQ 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
490 LFQ 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
491 LFQ 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
492 LFQ 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
493 LFQ 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
494 LFQ 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
495 LFQ 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
496 LFQ 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
497 LFQ 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
498 LFQ 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
499 LFQ 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
500 LFQ 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
501 LFQ 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
502 LFQ 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
503 LFQ 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
504 LFQ 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
505 LFQ 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
506 LFQ 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
507 LFQ 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
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
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