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comparison test-data/cutadapt.txt @ 0:8f25feb85166 draft

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planemo upload for repository https://github.com/EnginesOn/galaxy_tools/tree/master/tools/multiqc commit 1110117e9b07da7913ea4480566a00d1bb373531-dirty
author engineson
date Fri, 27 May 2016 06:22:43 -0400
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-1:000000000000 0:8f25feb85166
1 You are running cutadapt 1.6 with Python 2.7.3
2 Command line parameters: --format=fastq --anywhere=fakadaptater=CACG --error-rate=0.1 --times=1 --overlap=3 --output=/omaha-beach/cloud_26/files/000/dataset_82.dat /omaha-beach/cloud_26/files/000/dataset_33.dat
3 Maximum error rate: 10.00%
4 No. of adapters: 1
5 Processed reads: 316390
6 Processed bases: 31955390 bp (32.0 Mbp)
7 Trimmed reads: 68795 (21.7%)
8 Trimmed bases: 3443775 bp (3.4 Mbp) (10.78% of total)
9 Too short reads: 0 (0.0% of processed reads)
10 Too long reads: 0 (0.0% of processed reads)
11 Total time: 5.28 s
12 Time per read: 0.017 ms
13
14 === Adapter 'fakadaptater' ===
15
16 Sequence: CACG; Length: 4; Trimmed: 68795 times.
17 2162 times, it overlapped the 5' end of a read
18 66633 times, it overlapped the 3' end or was within the read
19
20 No. of allowed errors:
21 0-4 bp: 0
22
23 Overview of removed sequences (5')
24 length count expect max.err error counts
25 3 357 4943.6 0 357
26 4 1805 1235.9 0 1805
27
28
29 Overview of removed sequences (3' or within)
30 length count expect max.err error counts
31 3 4175 4943.6 0 4175
32 4 520 1235.9 0 520
33 5 442 1235.9 0 442
34 6 522 1235.9 0 522
35 7 538 1235.9 0 538
36 8 526 1235.9 0 526
37 9 482 1235.9 0 482
38 10 547 1235.9 0 547
39 11 502 1235.9 0 502
40 12 539 1235.9 0 539
41 13 571 1235.9 0 571
42 14 601 1235.9 0 601
43 15 537 1235.9 0 537
44 16 592 1235.9 0 592
45 17 604 1235.9 0 604
46 18 617 1235.9 0 617
47 19 594 1235.9 0 594
48 20 493 1235.9 0 493
49 21 558 1235.9 0 558
50 22 503 1235.9 0 503
51 23 573 1235.9 0 573
52 24 609 1235.9 0 609
53 25 653 1235.9 0 653
54 26 625 1235.9 0 625
55 27 541 1235.9 0 541
56 28 501 1235.9 0 501
57 29 618 1235.9 0 618
58 30 539 1235.9 0 539
59 31 614 1235.9 0 614
60 32 594 1235.9 0 594
61 33 627 1235.9 0 627
62 34 572 1235.9 0 572
63 35 690 1235.9 0 690
64 36 615 1235.9 0 615
65 37 654 1235.9 0 654
66 38 681 1235.9 0 681
67 39 530 1235.9 0 530
68 40 731 1235.9 0 731
69 41 622 1235.9 0 622
70 42 611 1235.9 0 611
71 43 722 1235.9 0 722
72 44 664 1235.9 0 664
73 45 659 1235.9 0 659
74 46 651 1235.9 0 651
75 47 591 1235.9 0 591
76 48 642 1235.9 0 642
77 49 545 1235.9 0 545
78 50 573 1235.9 0 573
79 51 591 1235.9 0 591
80 52 567 1235.9 0 567
81 53 749 1235.9 0 749
82 54 647 1235.9 0 647
83 55 753 1235.9 0 753
84 56 696 1235.9 0 696
85 57 780 1235.9 0 780
86 58 607 1235.9 0 607
87 59 758 1235.9 0 758
88 60 643 1235.9 0 643
89 61 578 1235.9 0 578
90 62 670 1235.9 0 670
91 63 652 1235.9 0 652
92 64 816 1235.9 0 816
93 65 732 1235.9 0 732
94 66 640 1235.9 0 640
95 67 644 1235.9 0 644
96 68 818 1235.9 0 818
97 69 658 1235.9 0 658
98 70 587 1235.9 0 587
99 71 672 1235.9 0 672
100 72 588 1235.9 0 588
101 73 645 1235.9 0 645
102 74 668 1235.9 0 668
103 75 725 1235.9 0 725
104 76 651 1235.9 0 651
105 77 701 1235.9 0 701
106 78 662 1235.9 0 662
107 79 655 1235.9 0 655
108 80 760 1235.9 0 760
109 81 746 1235.9 0 746
110 82 705 1235.9 0 705
111 83 704 1235.9 0 704
112 84 726 1235.9 0 726
113 85 692 1235.9 0 692
114 86 700 1235.9 0 700
115 87 758 1235.9 0 758
116 88 640 1235.9 0 640
117 89 665 1235.9 0 665
118 90 848 1235.9 0 848
119 91 693 1235.9 0 693
120 92 775 1235.9 0 775
121 93 1237 1235.9 0 1237
122 94 629 1235.9 0 629
123 95 574 1235.9 0 574
124 96 525 1235.9 0 525
125 97 586 1235.9 0 586
126 98 696 1235.9 0 696
127 99 860 1235.9 0 860
128 100 851 1235.9 0 851
129